COVID-19 – NHS England Application
NHS England · Agency/Public Body
A later version has left the register. v6.2 was listed until the January 2023 edition and has not been listed since, so the version shown here as current is an earlier one. The register does not say why.
Expired The latest version ended on 30 September 2022. The September 2026 register still lists the agreement, but its term has passed.
- Reference
- DARS-NIC-384608-C9B4L
- Latest version
- v5.2
- Term of latest version
- 30 June 2022 to 30 September 2022
- Start date
- 16 July 2020
- Data controller
- Joint Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 0
Data controllers
Why the data was released
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX (an organisation which operates as part of the legal entity of NHS England), NHS England and NHS Improvement (NHS E/I) have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with Public Health England (PHE);
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within General Practitioner (GP) Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below are specific examples of how the data will be used and linked:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under General Data Protection Regulation (GDPR), NHS England can rely on Article 6(1)(e) – processing is necessary for the performance of a task in the public interest or in the exercise of official authority vested in the controller. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
Data processor 2 - Palantir Technologies UK Limited
Palantir Technologies UK Limited is providing the software, Foundry platform, that powers the front-end data platform. Foundry platform, which has been primarily developed in the UK, enables disparate data to be integrated, cleaned, and harmonised in order to develop a more comprehensive view for NHSE/I staff that will support decision-making better. Foundry platform is built to protect data by design. Palantir is a data processor, not a data controller and will only process data as and when instructed by the joint data controllers in this DSA.
Palantir will have access to fully pseudonymised record level data held in the COVID-19 data store, and are operating under strict controls as set out by NHS England, NHSX and NHS Improvement. This also means that Palantir cannot have access to all the data held in the data store. There is no requirement for Palantir to access or process the GDPPR data, which NHS England and Improvement are in receipt of from NHS Digital.
Palantir, have built analytical dashboards for access by NHS England and Improvement staff, together with staff in the following organisations working under contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will have access to data which is pseudonymised. Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
Medicines dispensed in primary care
NHS England and NHS Improvement requires routine access to the Primary Care Medicines Data, which is collected from NHS Business Services Authority (NHSBSA) by NHS Digital. The request is to have access to this data set from April 2015 onwards.
NHS England and NHS Improvement have a large range of statutory duties, functions, powers and secondary legislation to support, monitor and make provision of health care services within the National Health Service.
As part of this role, NHS England and Improvement requires access to all patient level prescriptions issued by prescribers and dispensed or supplied in the community for England. There are many purposes this pseudonymised patient level data is required, and below are the main of examples of how the data will be used;
NHS 111 Pathway
- Use for COVID-19 purposes, in response to the significant demand for medicines data to support pandemic research and planning, which NHS England and NHS Improvement have been tasked with co-ordinating the national response. This includes reviewing the dispensation of medicines during the pandemic, for both COVID and Non COVID patients. Access to the data would inform whether there are shortages of medicines that patients are unable to access, and may have inadvertently suffered as a result. Does this have a further impact on support services i.e increase in 111 calls, emergency admissions to hospitals etc. This would allow NHS England and NHS Improvement to follow up outcomes, review current policies and put necessary interventions in place.
Shielded Patient list
Access to the shielded patient list will provide robust analysis to inform decision making based on those at most risk of severe illness from COVID-19. As such the use of the shielded patient list is integral to understand how the pandemic will effect those most vulnerable to COVID-19. This data set will inform a variety of analyses supporting the work in response to COVID-19 providing insight into shielding patients' healthcare usage and pathways.
The addition of this dataset will let the analytical teams take into account shielding patients when commissioning, analysing and reviewing services for patients. This dataset will add detail specifically regarding those most vulnerable to COVID-19.
NHSE will also review vaccination programme delivery methods to improve uptake of the most vulnerable in society, therefore ensuring that survival rates of this cohort can be higher with proper targeting and campaigns to increase uptake.
NHS 111 Dataset
As part of an evaluation of the NHS 111 First programme, which is being rolled out across England, NHSE/I want to understand both the effectiveness of the programme in reducing the risk of nosocomial transmission of Covid-19 in emergency departments (EDs) and the potential impact the programme may have on the wider UEC system and primary care.
Access to these data will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand.
Civil Registrations Data
Obesity is poorly recorded in secondary care data sources. There is emerging evidence that obesity increases the risk of mortality from COVID-19 however it is not possible to understand the magnitude of risk or adjust for obesity in addition to wider risk factors using existing data sources. There is a requirement for population level obesity data to understand the impact of obesity on COVID-19 risk and mortality.
This data will be used to understand the impact of Obesity, overweight patients and other co-morbidities on COVID-19 risk and mortality.
Secondary Uses Service (SUS) Data
Understand the impact of COVID-19 on all areas across the system – at a National, Regional and sub regional level. Identify key areas where demand is high for patients (with underlying Health conditions (ie Diabetics or cardiovascular complications) and getting these services back online. GDDPR is required to investigate certain cohorts of patients, to support the planning and restoration of acute services (Elective and outpatient appointments) where due to COVID-19 these services would have stopped to reduce the risk of infection and transmission. The waiting lists have expanded greatly, as a result.
The SUS data will be used to support strategic interventions to enable the restoration of acute services, as well as provide an evidence base for the transformation of services in the future.
EPMA:
NHS E/I requires routine access to the Electronic Prescribing and Medicines Administration (EPMA) Data, which is collected from EPMA suppliers Cerner and WellSky and provided to NHS Digital. The data supplied contains collections from up to 64 hospitals in England.
NHS E/I have a genuine and significant demand for the Patient Level Medicines data and will use it to inform and support the national picture of prescribing behaviour and decision making during the COVID-19 pandemic, as well as supporting national priorities as COVID-19 has impacted patient lives and hospital supplies and services.
This data is required to support the exploration of trends, for example, associated with infection management along a full patient pathway between different care settings i.e. between primary and secondary care.
Analysis and linking of this data at patient level to other data sets provided by NHS Digital and held within the Data store will provide richer information and improve intelligence about medicines safety (i.e. seeing the combinations of medicines a patient has been on over time by linking records), effectiveness and outcomes (i.e linking to SUS to gather insight on risk of mortality when on certain medicines or certain medicine combination during the pandemic), and whether specific medicines correspond to more prevalent diagnosis on admission to hospital.
Ethnicity data
To understand the impact of COVID-19 on the severity of health conditions when patients are now presenting for treatment. Understanding any inequalities between the different segments of society will enable more targeted actions at a national and local level. Linkage to other datasets is essential if NHSE/I are to gain maximum benefit from having access to the dataset and supporting action across all sectors of health care.
SGSS and COVID-19 UK Non-hospital Antigen Testing Results
As part of NHSE/I response to the pandemic, receiving data flows for SGSS, has been a valuable source of data in enabling NHSE/I to create analysis and reports.
These reports and analysis have allowed the provision of intelligence of areas and demographic information in England, identifying the COVID virus hotspots and where the virus is continuing to spread rapidly.
The organisation has been able to stand up and focus the vaccination programme in these areas – in line with the Joint Committee on Vaccination and Immunisation (JVCI) guidance. From this data containing 1st Positive’s for Pillar’s 1 (swab testing through an NHS Lab) & Pillar 2 (commercial swab testing in the community) of the NHS COVID-19 testing program, NHSE/I have been able to evaluate and cross-reference the volumes of tests being conducted in hot spot areas against the number of infections and immunisations.
This intelligence (as an example) has been able to support specific teams working across government departments at National, regional and sub regional levels to provide a cohesive response in targeted areas, and protecting the public from COVID-19 and saving lives in all settings of the healthcare economy.
Processing activities
Data will only be used for the purposes stipulated within this Data Sharing Agreement. Any additional disclosure / publication will require further approval from NHS Digital.
As the bespoke use cases highlighted in Section 5a require datasets not currently available within the Trusted Research Environment (TRE), it would not be feasible to utilise the TRE and therefore a direct feed from NHS Digital to NHS England is required.
Data Processors must only act upon specific instructions from the Joint Data Controllers.
All access to data is managed under Role-Based Access Controls. Users can only access data authorised by their role and the tasks that they are required to undertake.
Patient level data will not be linked other than as specifically detailed within this Data Sharing Agreement.
NHS Digital reminds all organisations party to this agreement of the need to comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by “Personnel” (as defined within the Data Sharing Framework Contract i.e.: employees, agents and contractors of the Data Recipient who may have access to that data).
The Joint Data Controllers will keep their cut of the electronic Disseminated data in an encrypted form and take all required security measures to protect the Disseminated data and they will not generate copies of their cuts of the Disseminated data unless this is strictly necessary. Where this is necessary, the Joint Data Controllers will keep a log of all copies of the Disseminated data and who is controlling them and ensure these are updated and destroyed securely.
Under the terms of the DSA, this data can only be accessed by the joint data controllers and data processors listed in this DSA.
Aggregated reports only with small number suppression can be shared externally as set out within NHS Digital guidance applicable to each data set.
A secure one-way pseudonymisation process will be implemented in all processing activities where pseudonymisation is mentioned. This process ensures that the linked data is only made available to analysts in a pseudonymised form. Outputs of the analysis from the secure environments will be fully anonymised in aggregated reports with small number suppression.
SEGREGATION:
Where the Data Processor and/or the Joint Data Controllers hold both identifiable and pseudonymised data, the GDPPR data will be held separately so data cannot be linked without appropriate authorisation with pre-approved justification.
AUDIT:
All processing and use of data provided under this DSA (including derivatives of the data) is auditable by NHS Digital in accordance with the Data Sharing Framework Contract and NHS Digital terms.
Microsoft Limited provide cloud services and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
Amazon Web Services supply Cloud Services for The Foundry Platform and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
NHS England require multiple Cloud tenancies to enable them to flow data more efficiently
Data processor 1 - NHS Arden and GEM Commissioning Support Unit
Pseudonymisation is completed within the DSCRO (GEM DSCRO / NW DSCRO) using an open pseudonymiser with a key specific to this project.
The data is then disseminated as follows:
1. Pseudonymised GDPPR, Shielded Patient List (SPL), SUS, Medicines Dispensed in Primary Care, Civil Registration - Deaths, Second Generation Surveillance System (SGSS), NHS Pathways, EPMA, Ethnic Category Data Set and COVID-19 UK Non-hospital Antigen Testing Results Pillar 2, is securely transferred from the DSCRO to NHS Arden and GEM Commissioning Support Unit.
2. NHS England / Improvement also receives identifiable data directly for COVID-19 purposes from providers under COPI.
3. NHS Arden and GEM Commissioning Support Unit share the pseudonymisation key specific to this project with NHS England
4. NHS England then pseudonymise the data received directly in point 2 and send this to NHS Arden and GEM Commissioning Support Unit.
5. Allowed linkage is between data in point 1 & 2 and pseudonymised data NHS England receives under application DARS-NIC-139035-X4B7K.
6. The data is then re-pseudonymised before allowing access to the Data Controllers. The Data Controllers are therefore unable to reverse the pseudonymisation key
Analysis within the Joint Data Controllers:
The Joint Data Controllers may at any time require any of its Commissioning Support Units (CSUs) to undertake activities on its behalf for specific project(s) under a Service Level Agreement. All NHS CSUs are therefore listed below and operate as NHS England teams rather than separate legal data processors. This does not mean that all of NHS England CSU’s will access GDPPR data. This DSA will be updated to add further datasets already provided by NHS Digital and therefore including all NHS England processing teams ensures transparency:
• NHS Arden and Greater East Midlands Commissioning Support Unit (AGEM CSU)
• NHS North of England Commissioning Support Unit (NECS)
• NHS North & East London Commissioning Support Unit (NEL CSU)
• NHS South, Central & West Commissioning Support Unit (SCW CSU)
• NHS Midlands and Lancashire Commissioning Support Unit (M&L CSU)
Processing activities undertaken only take place on pseudonymised patient-level data and would include:
• Data quality checks
• Data validation
• Generation of ad-hoc analysis and reports to support specific projects
A lead CSU will be nominated for each project. This approach ensures that the Joint Data Controllers can flexibly meet demand across the NHS system.
AGEM CSU is the only identified NHS England CSU team processing the GDPPR dataset.
NHSE/I are leading on the management of COVID Data store as NHSX have handed it over to NHSE/I. NHSE/I will implement a triage process that will continually monitor what data is being processed, the access controls and controls to mitigate the risk of re-identification. Access to all data or the dashboards is managed by the front door triage process attended by representatives from NHSE/I, PHE, NHSX, NHSD and the Department for Health and Social Care (DHSC). This process involves assessment of the: Purpose/processing required; minimised data items required; roles requiring access and storage and processing locations.
Data processor 7 - Palantir Technologies UK Limited
1. A range of data extracts including pseudonymised record level data from the COVID-19 data store excluding GDPPR data is made accessible to Palantir Technologies UK Ltd.
2. Palantir Technologies UK Limited operating under strict controls by the joint data controllers analyse the selected data extracts and produce dashboards for access by NHS E/I staff.
The GDPPR data is held on it's own server within the National Commissioning Data Repository (NCDR) boundaries and any data to be linked to the GDPPR data is copied into that server.
For clarity, NHS England/Improvement and the CSUs will access the Shielded Patient List, SGSS, NHS 111 data and GDPPR data.
AGEM CSU will access SUS, SGSS, Deaths and Medicines Dispensed in Primary Care data.
Palantir Technologies UK Limited will access a range of extracts from the COVID-19 data store excluding GDPPR data.
Additionally no data flows from NCDR to Palantir Technologies UK Limited.
Although the GDPPR data is pseudonymised, the data is treated as confidential patient data due to this being a restricted data set that is collected only for the purpose of COVID-19 management.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
Palantir Technologies UK Limited
• Analytical dashboards that focus on key decision making
Medicines dispensed in primary care
- Patient level prescribing will help inform policy and planning for CCG Prescribing Resource Allocations – 12% of core CCG programmes or circa £8.5 billion, by developing models using patient level data. This will enable deeper understanding of prescribing at a granularity which will ensure that outputs from the models and forward planning are more precise.
- Supporting reimbursement of funds from NHS England and NHS Improvement back to NHSBSA for Specialised medicines.
- Support the successful delivery of commitments laid out in the;
• NHS Long Term Plan
• Next Steps on the Five Year Forward View
• Antimicrobial Resistance (AMR) Strategy
• Life Sciences Industrial Strategy
• World Health Organisation’s 2017 3rd global challenge, ‘Medication without Harm’
- Secondary uses to inform and support prescribing behaviour, decision making and research. The recommendations published in the PHE Review will now be picked up by NHS England and NHS Improvement for implementation.
Shielded Patient List
• Assessing impact and projections for hospital admissions, particularly critical care bed capacity.
• Vaccination programme review.
• Operational planning reports for shielding patients.
• Further service utilisation analysis for COVID-19 patients.
NHS 111 Dataset
A range of analysis and reports to review NHS 111 First Programme focussing on:
• Potentially reducing patient face-to face contact within the UEC system
• The number and characteristics of patients contacting primary care following a 111 call
• The proportion of those directed from 111 to primary care or ED that attend these services
• Rates of compliance to 111 advice, and whether these rates differ between those callers that have an appointment booked via 111 and those that do not
Civil Registrations Data
• A variety of evaluations and risk impact reports looking at the relationship between obesity, overweight patients and other co-morbidities in relation to COVID-19
Secondary Uses Service Data
• Reports that focus on outcomes for strategic planning and organisation of the COVID-19 response
EPMA
• The creation of Medications Dashboards at National, Regional and sub regional levels (where data available) to help monitor and evaluate these key areas
Ethnicity data
• Additional information on the ethnicity of patients within the data store
SGSS and COVID-19 UK Non-hospital Antigen Testing Results
• Reports to show COVID-19 hotspots across England
Expected measurable benefits
• Reduce deaths associated with COVID-19
• Assessment of the impact of the NHS 111 First Programme on primary care capacity.
• Reallocation of resources and correctly allocate resources in line with demand
• Bring in additional workforce support
• Assists commissioners in making decisions to better support patients
• Identifying COVID-19 trends and risks to public health
• Increase resilience in supply chain for PPE (Personal Protective Equipment) based on localised demand from primary care
• Enables NHS England to provide guidance and develop policies to respond to the outbreak
• Controlling and helping to prevent the spread of the virus
• NHS England can share a common understanding of activity levels across the system in regard to COVID-19.
• Better activity data will also enable a more robust national planning process and improve the allocation of resources across the system. This will support the response to the pandemic but also the recovery of services.
• Use the shielded list data to target patients at risk of developing severe complications of COVID-19 with letters and advice to stay at home, as per government message.
• Use the Shielded list data to drive the vaccination programme for ensuring patients are targeted as per the Joint Committee on Vaccination and Immunisation (JVCI) committee guidance.
• NHS England through accessing the data provided, have been able to develop insight and understanding of the services supporting the COVID-19 response and ultimately view how this organisation can better respond and improve the care and quality patients receive. The aim set out to protect patients from the virus and help people live longer. There is a continuing requirement for NHS England to have access the data so that all objectives, purposes, outputs and benefits can continue to be realised. NHS England are accountable to the government on the way the pandemic is being handled from the leaders of the healthcare system, where there is a requirement to feed into government meetings and situation reports to Cabinet Office and ministers. This is to provide assurance as well as direction on key decisions for the work NHS England carries out with the governments commitment to save lives and manage capacity in the hospitals with severely ill patients.
• Reports and dashboards have been created to demonstrate management of pandemic, including hospital management, shifts from face to face activities to telephone and online consultations, management of inequalities analysis, service reviews and development, planning, budgets and allocations for procurement of vaccinations and personal protective equipment.
• The use of the data also ensures BAME (black, Asian, and minority ethnic) – Key workers and citizens are not disadvantaged when advice is given or vaccinations are provided for COVID -19.
Palantir
• Inform key decision making.
• Make it easier for NHSE/I analytical staff to work with the data.
Medicines dispensed in primary care
Data utilisation to understand more about and make improvements to:
• Identifying where individuals are being over prescribed medicines and how that aligns to published guidance.
• Better understand the health needs of the population, and therefore understand stock levels of medicines used for certain conditions.
• Determine the level of generic vs branded dispensing – this informs and impacts funding levels.
• Determine if certain pharmacies are declining to dispense drugs on which they would be dispensing at a loss.
• Understand the difference in prescribing by dispensing doctors to dispensing and prescribing patients.
Shielded Patient List
• Better understanding of the health needs of the shielded patient population.
• More detail added to existing and future analysis that takes into consideration the shielded patients.
NHS 111 Dataset
• Better understanding of the current impact of NHS 111 Service on the wider NHS.
• Inform decision makers of the current models of care and patient pathways and effectiveness of those models and pathways.
Civil Registrations Data
• Better understanding of the risk impact of being overweight, obese and having other co-morbidities with COVID-19.
• Inform commissioning teams to understand their local population's needs and better inform their decision making when planning services for those with co-morbidities.
Secondary Uses Service Data
• Better understanding of the services most effected by the pandemic.
• Inform transformation teams on the services with the largest waiting lists and service usage so they can plan accordingly.
EPMA
• Facilitates a better understanding of a patient’s medicine use over the lifetime of their prescribing history and other aspects of their medical history, understanding outcomes and links to other comorbidities and even mortality.
Ethnicity data
• Understanding inequalities behind between different segments of society and how COVID-19 effects these different segments
SGSS and COVID-19 UK Non-hospital Antigen Testing Results
• Identify infection rates across different geographical areas to provide national support
Benefits reported so far
COVID-19 data is being utilised to support the National response to the COVID-19 pandemic. Data collection is critical as it facilitates robust analysis to inform government and healthcare providers on those at most risk from COVID-19.
(See examples below)
Shielded Patient list:
• Access to the shielded patient list data has informed decision-making based on those at most risk of severe illness from COVID-19.
• Vulnerable groups were identified, and letters sent to advise them on how to protect themselves.
• In addition, these high-risk people received guidance on how to utilise government and NHS Support Services.
GPES (Planning for Pandemic & Research):
• Supported a large-scale comprehensive national representation of COVID-19 care and health outcomes in England at all geographical levels.
• Supported understanding COVID-19 and risks to public health, assisted with identifying trends in COVID-19 outbreaks and the associated risks.
• Provided intelligence in controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Assisted with determining the extent and scale of variation of COVID-19 classification, diagnoses, hospitalisation, treatments, deaths across the national, regional, and sub-regional areas.
Examined the impact of Covid-19 on spirometry activity in general practice using GDPPR. It demonstrated that spirometry activity had fallen off a cliff due to Covid. This was previously suspected based on anecdote, but without access to GDPPR it could not have been verified it in data. In response to this discovery, a number of initiatives have been undertaken by NHSEI primary care and respiratory policy colleagues to support the safe recommencement of spirometry in general practice.
Datasets on the latest version
Legal basis for provision: Health and Social Care Act 2012 - s261 - 'Other dissemination of information'
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Civil Registrations of Death | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| COVID-19 Electronic Prescribing and Medicines Administration (ePMA) in Secondary Care | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| COVID-19 Ethnic Category Data Set | Anonymised - ICO Code Compliant | Non-Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| COVID-19 SGSS First Positives (Second Generation Surveillance System) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Medicines dispensed in Primary Care (NHSBSA data) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| NHS Pathways Data Set | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Shielded Patient List | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| SUS for Commissioners | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
Files released
Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.
No files recorded as released under this agreement.
Version history
The register lists each renewal of this agreement as a separate row. This site has 6 versions.
DARS-NIC-384608-C9B4L-v5.2 30 June 2022 to 30 September 2022
- Title
- COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 10
- Files released
- 0
Datasets: Civil Registrations of Death; COVID-19 Electronic Prescribing and Medicines Administration (ePMA) in Secondary Care; COVID-19 Ethnic Category Data Set; COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR); COVID-19 SGSS First Positives (Second Generation Surveillance System); COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2); Medicines dispensed in Primary Care (NHSBSA data); NHS Pathways Data Set; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-384608-C9B4L-v4.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2022-06-30 | |
| End date | 2022-09-30 | |
| COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR): common law duty of confidentiality | Does not include the flow of confidential data | |
| COVID-19 SGSS First Positives (Second Generation Surveillance System): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| COVID-19 SGSS First Positives (Second Generation Surveillance System): common law duty of confidentiality | Does not include the flow of confidential data | |
| Civil Registrations of Death: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Civil Registrations of Death: common law duty of confidentiality | Does not include the flow of confidential data | |
| Medicines dispensed in Primary Care (NHSBSA data): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Medicines dispensed in Primary Care (NHSBSA data): common law duty of confidentiality | Does not include the flow of confidential data | |
| NHS Pathways Data Set: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| NHS Pathways Data Set: common law duty of confidentiality | Does not include the flow of confidential data | |
| SUS for Commissioners: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| SUS for Commissioners: common law duty of confidentiality | Does not include the flow of confidential data | |
| Shielded Patient List: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Shielded Patient List: common law duty of confidentiality | Does not include the flow of confidential data |
Datasets: + COVID-19 Ethnic Category Data Set; + COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2); + Electronic Prescribing and Medicines Administration (EPMA) data in Secondary Care for COVID-19
Objective for processing
[50 paragraphs unchanged]
The NHS COVID-19 Data Store has been established
under the provisions of the Control of patient information (COPI) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002,
and is designed to support a range of activities, including:
[4 paragraphs unchanged]
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
[2 paragraphs unchanged]
NHS England requires pseudonymised The General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
[31 paragraphs unchanged]
Under General Data Protection Regulation (GDPR), NHS England can rely on Article
6(1)(c)
6(1)(e)
–
Legal Obligation to receive and process the Disseminated data from NHS Digital
processing is necessary
for the
Agreed Purposes under
performance of a task in
the
Recipient COPI Notice.
public interest or in the exercise of official authority vested in the controller.
As this is health information and therefore special category personal data the
[24 words unchanged]
necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
[3 paragraphs unchanged]
Palantir, have built analytical dashboards for access by NHS England and Improvement
[10 words unchanged]
contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will
not
have access to data which is
pseudonymised, they will only be able to see dashboards with aggregated data with small number suppression.
pseudonymised.
Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
[19 paragraphs unchanged]
EPMA:
NHS E/I requires routine access to the Electronic Prescribing and Medicines Administration (EPMA) Data, which is collected from EPMA suppliers Cerner and WellSky and provided to NHS Digital. The data supplied contains collections from up to 64 hospitals in England.
NHS E/I have a genuine and significant demand for the Patient Level Medicines data and will use it to inform and support the national picture of prescribing behaviour and decision making during the COVID-19 pandemic, as well as supporting national priorities as COVID-19 has impacted patient lives and hospital supplies and services.
This data is required to support the exploration of trends, for example, associated with infection management along a full patient pathway between different care settings i.e. between primary and secondary care.
Analysis and linking of this data at patient level to other data sets provided by NHS Digital and held within the Data store will provide richer information and improve intelligence about medicines safety (i.e. seeing the combinations of medicines a patient has been on over time by linking records), effectiveness and outcomes (i.e linking to SUS to gather insight on risk of mortality when on certain medicines or certain medicine combination during the pandemic), and whether specific medicines correspond to more prevalent diagnosis on admission to hospital.
Ethnicity data
To understand the impact of COVID-19 on the severity of health conditions when patients are now presenting for treatment. Understanding any inequalities between the different segments of society will enable more targeted actions at a national and local level. Linkage to other datasets is essential if NHSE/I are to gain maximum benefit from having access to the dataset and supporting action across all sectors of health care.
SGSS and COVID-19 UK Non-hospital Antigen Testing Results
As part of NHSE/I response to the pandemic, receiving data flows for SGSS, has been a valuable source of data in enabling NHSE/I to create analysis and reports.
These reports and analysis have allowed the provision of intelligence of areas and demographic information in England, identifying the COVID virus hotspots and where the virus is continuing to spread rapidly.
The organisation has been able to stand up and focus the vaccination programme in these areas – in line with the Joint Committee on Vaccination and Immunisation (JVCI) guidance. From this data containing 1st Positive’s for Pillar’s 1 (swab testing through an NHS Lab) & Pillar 2 (commercial swab testing in the community) of the NHS COVID-19 testing program, NHSE/I have been able to evaluate and cross-reference the volumes of tests being conducted in hot spot areas against the number of infections and immunisations.
This intelligence (as an example) has been able to support specific teams working across government departments at National, regional and sub regional levels to provide a cohesive response in targeted areas, and protecting the public from COVID-19 and saving lives in all settings of the healthcare economy.
Processing activities
[14 paragraphs unchanged]
Under the Local Audit and Accountability Act 2014, section 35, Secretary of State has power to audit all data that has flowed, including under COPI.
[2 paragraphs unchanged]
NHS England require multiple Cloud tenancies to enable them to flow data more efficiently
[3 paragraphs unchanged]
1. Pseudonymised GDPPR, Shielded Patient List (SPL),
SUS, Medicines Dispensed in Primary Care, Civil Registration - Deaths,
Second Generation Surveillance System
(SGSS)
(SGSS), NHS Pathways, EPMA, Ethnic Category Data Set
and
NHS 111 data
COVID-19 UK Non-hospital Antigen Testing Results Pillar 2,
is securely transferred from the DSCRO to NHS Arden and GEM Commissioning Support Unit.
[28 paragraphs unchanged]
Expected output
[38 paragraphs unchanged] EPMA • The creation of Medications Dashboards at National, Regional and sub regional levels (where data available) to help monitor and evaluate these key areas Ethnicity data • Additional information on the ethnicity of patients within the data store SGSS and COVID-19 UK Non-hospital Antigen Testing Results • Reports to show COVID-19 hotspots across England
Expected measurable benefits
[38 paragraphs unchanged] EPMA • Facilitates a better understanding of a patient’s medicine use over the lifetime of their prescribing history and other aspects of their medical history, understanding outcomes and links to other comorbidities and even mortality. Ethnicity data • Understanding inequalities behind between different segments of society and how COVID-19 effects these different segments SGSS and COVID-19 UK Non-hospital Antigen Testing Results • Identify infection rates across different geographical areas to provide national support
Benefits reported
COVID-19 data is being utilised to support the National response to the COVID-19 pandemic. Data collection is critical as it facilitates robust analysis to inform government and healthcare providers on those at most risk from COVID-19. (See examples below) Shielded Patient list: • Access to the shielded patient list data has informed decision-making based on those at most risk of severe illness from COVID-19. • Vulnerable groups were identified, and letters sent to advise them on how to protect themselves. • In addition, these high-risk people received guidance on how to utilise government and NHS Support Services. GPES (Planning for Pandemic & Research): • Supported a large-scale comprehensive national representation of COVID-19 care and health outcomes in England at all geographical levels. • Supported understanding COVID-19 and risks to public health, assisted with identifying trends in COVID-19 outbreaks and the associated risks. • Provided intelligence in controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes. • Assisted with determining the extent and scale of variation of COVID-19 classification, diagnoses, hospitalisation, treatments, deaths across the national, regional, and sub-regional areas. [1 paragraph unchanged]
DARS-NIC-384608-C9B4L-v4.2 1 November 2021 to 30 November 2021
- Title
- COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 7
- Files released
- 0
Datasets: Civil Registrations of Death; COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR); COVID-19 SGSS First Positives (Second Generation Surveillance System); Medicines dispensed in Primary Care (NHSBSA data); NHS Pathways Data Set; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-384608-C9B4L-v3.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2021-11-01 | |
| End date | 2021-11-30 |
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits, Benefits reported.
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX (an organisation which operates as part of the legal entity of NHS England), NHS England and NHS Improvement (NHS E/I) have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the Control of patient information (COPI) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002, and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England requires pseudonymised The General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with Public Health England (PHE);
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within General Practitioner (GP) Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below are specific examples of how the data will be used and linked:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under General Data Protection Regulation (GDPR), NHS England can rely on Article 6(1)(c) – Legal Obligation to receive and process the Disseminated data from NHS Digital for the Agreed Purposes under the Recipient COPI Notice. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
Data processor 2 - Palantir Technologies UK Limited
Palantir Technologies UK Limited is providing the software, Foundry platform, that powers the front-end data platform. Foundry platform, which has been primarily developed in the UK, enables disparate data to be integrated, cleaned, and harmonised in order to develop a more comprehensive view for NHSE/I staff that will support decision-making better. Foundry platform is built to protect data by design. Palantir is a data processor, not a data controller and will only process data as and when instructed by the joint data controllers in this DSA.
Palantir will have access to fully pseudonymised record level data held in the COVID-19 data store, and are operating under strict controls as set out by NHS England, NHSX and NHS Improvement. This also means that Palantir cannot have access to all the data held in the data store. There is no requirement for Palantir to access or process the GDPPR data, which NHS England and Improvement are in receipt of from NHS Digital.
Palantir, have built analytical dashboards for access by NHS England and Improvement staff, together with staff in the following organisations working under contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will not have access to data which is pseudonymised, they will only be able to see dashboards with aggregated data with small number suppression. Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
Medicines dispensed in primary care
NHS England and NHS Improvement requires routine access to the Primary Care Medicines Data, which is collected from NHS Business Services Authority (NHSBSA) by NHS Digital. The request is to have access to this data set from April 2015 onwards.
NHS England and NHS Improvement have a large range of statutory duties, functions, powers and secondary legislation to support, monitor and make provision of health care services within the National Health Service.
As part of this role, NHS England and Improvement requires access to all patient level prescriptions issued by prescribers and dispensed or supplied in the community for England. There are many purposes this pseudonymised patient level data is required, and below are the main of examples of how the data will be used;
NHS 111 Pathway
- Use for COVID-19 purposes, in response to the significant demand for medicines data to support pandemic research and planning, which NHS England and NHS Improvement have been tasked with co-ordinating the national response. This includes reviewing the dispensation of medicines during the pandemic, for both COVID and Non COVID patients. Access to the data would inform whether there are shortages of medicines that patients are unable to access, and may have inadvertently suffered as a result. Does this have a further impact on support services i.e increase in 111 calls, emergency admissions to hospitals etc. This would allow NHS England and NHS Improvement to follow up outcomes, review current policies and put necessary interventions in place.
Shielded Patient list
Access to the shielded patient list will provide robust analysis to inform decision making based on those at most risk of severe illness from COVID-19. As such the use of the shielded patient list is integral to understand how the pandemic will effect those most vulnerable to COVID-19. This data set will inform a variety of analyses supporting the work in response to COVID-19 providing insight into shielding patients' healthcare usage and pathways.
The addition of this dataset will let the analytical teams take into account shielding patients when commissioning, analysing and reviewing services for patients. This dataset will add detail specifically regarding those most vulnerable to COVID-19.
NHSE will also review vaccination programme delivery methods to improve uptake of the most vulnerable in society, therefore ensuring that survival rates of this cohort can be higher with proper targeting and campaigns to increase uptake.
NHS 111 Dataset
As part of an evaluation of the NHS 111 First programme, which is being rolled out across England, NHSE/I want to understand both the effectiveness of the programme in reducing the risk of nosocomial transmission of Covid-19 in emergency departments (EDs) and the potential impact the programme may have on the wider UEC system and primary care.
Access to these data will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand.
Civil Registrations Data
Obesity is poorly recorded in secondary care data sources. There is emerging evidence that obesity increases the risk of mortality from COVID-19 however it is not possible to understand the magnitude of risk or adjust for obesity in addition to wider risk factors using existing data sources. There is a requirement for population level obesity data to understand the impact of obesity on COVID-19 risk and mortality.
This data will be used to understand the impact of Obesity, overweight patients and other co-morbidities on COVID-19 risk and mortality.
Secondary Uses Service (SUS) Data
Understand the impact of COVID-19 on all areas across the system – at a National, Regional and sub regional level. Identify key areas where demand is high for patients (with underlying Health conditions (ie Diabetics or cardiovascular complications) and getting these services back online. GDDPR is required to investigate certain cohorts of patients, to support the planning and restoration of acute services (Elective and outpatient appointments) where due to COVID-19 these services would have stopped to reduce the risk of infection and transmission. The waiting lists have expanded greatly, as a result.
The SUS data will be used to support strategic interventions to enable the restoration of acute services, as well as provide an evidence base for the transformation of services in the future.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
Palantir Technologies UK Limited
• Analytical dashboards that focus on key decision making
Medicines dispensed in primary care
- Patient level prescribing will help inform policy and planning for CCG Prescribing Resource Allocations – 12% of core CCG programmes or circa £8.5 billion, by developing models using patient level data. This will enable deeper understanding of prescribing at a granularity which will ensure that outputs from the models and forward planning are more precise.
- Supporting reimbursement of funds from NHS England and NHS Improvement back to NHSBSA for Specialised medicines.
- Support the successful delivery of commitments laid out in the;
• NHS Long Term Plan
• Next Steps on the Five Year Forward View
• Antimicrobial Resistance (AMR) Strategy
• Life Sciences Industrial Strategy
• World Health Organisation’s 2017 3rd global challenge, ‘Medication without Harm’
- Secondary uses to inform and support prescribing behaviour, decision making and research. The recommendations published in the PHE Review will now be picked up by NHS England and NHS Improvement for implementation.
Shielded Patient List
• Assessing impact and projections for hospital admissions, particularly critical care bed capacity.
• Vaccination programme review.
• Operational planning reports for shielding patients.
• Further service utilisation analysis for COVID-19 patients.
NHS 111 Dataset
A range of analysis and reports to review NHS 111 First Programme focussing on:
• Potentially reducing patient face-to face contact within the UEC system
• The number and characteristics of patients contacting primary care following a 111 call
• The proportion of those directed from 111 to primary care or ED that attend these services
• Rates of compliance to 111 advice, and whether these rates differ between those callers that have an appointment booked via 111 and those that do not
Civil Registrations Data
• A variety of evaluations and risk impact reports looking at the relationship between obesity, overweight patients and other co-morbidities in relation to COVID-19
Secondary Uses Service Data
• Reports that focus on outcomes for strategic planning and organisation of the COVID-19 response
Benefits reported
Examined the impact of Covid-19 on spirometry activity in general practice using GDPPR. It demonstrated that spirometry activity had fallen off a cliff due to Covid. This was previously suspected based on anecdote, but without access to GDPPR it could not have been verified it in data. In response to this discovery, a number of initiatives have been undertaken by NHSEI primary care and respiratory policy colleagues to support the safe recommencement of spirometry in general practice.
DARS-NIC-384608-C9B4L-v3.2 24 August 2021 to 31 October 2021
- Title
- COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 7
- Files released
- 0
Datasets: Civil Registrations of Death; COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR); COVID-19 SGSS First Positives (Second Generation Surveillance System); Medicines dispensed in Primary Care (NHSBSA data); NHS Pathways Data Set; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-384608-C9B4L-v2.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2021-08-24 | |
| End date | 2021-10-31 | |
| COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR): common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| COVID-19 SGSS First Positives (Second Generation Surveillance System): common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| Civil Registrations of Death: common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| Medicines dispensed in Primary Care (NHSBSA data): common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| NHS Pathways Data Set: common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| SUS for Commissioners: common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| Shielded Patient List: common law duty of confidentiality | Statutory exemption to flow confidential data without consent |
Benefits reported
NHS 111 Dataset
Examined the impact of Covid-19 on spirometry activity in general practice using GDPPR. It demonstrated that spirometry activity had fallen off a cliff due to Covid. This was previously suspected based on anecdote, but without access to GDPPR it could not have been verified it in data. In response to this discovery, a number of initiatives have been undertaken by NHSEI primary care and respiratory policy colleagues to support the safe recommencement of spirometry in general practice.
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits.
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX (an organisation which operates as part of the legal entity of NHS England), NHS England and NHS Improvement (NHS E/I) have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the Control of patient information (COPI) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002, and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England requires pseudonymised The General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with Public Health England (PHE);
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within General Practitioner (GP) Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below are specific examples of how the data will be used and linked:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under General Data Protection Regulation (GDPR), NHS England can rely on Article 6(1)(c) – Legal Obligation to receive and process the Disseminated data from NHS Digital for the Agreed Purposes under the Recipient COPI Notice. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
Data processor 2 - Palantir Technologies UK Limited
Palantir Technologies UK Limited is providing the software, Foundry platform, that powers the front-end data platform. Foundry platform, which has been primarily developed in the UK, enables disparate data to be integrated, cleaned, and harmonised in order to develop a more comprehensive view for NHSE/I staff that will support decision-making better. Foundry platform is built to protect data by design. Palantir is a data processor, not a data controller and will only process data as and when instructed by the joint data controllers in this DSA.
Palantir will have access to fully pseudonymised record level data held in the COVID-19 data store, and are operating under strict controls as set out by NHS England, NHSX and NHS Improvement. This also means that Palantir cannot have access to all the data held in the data store. There is no requirement for Palantir to access or process the GDPPR data, which NHS England and Improvement are in receipt of from NHS Digital.
Palantir, have built analytical dashboards for access by NHS England and Improvement staff, together with staff in the following organisations working under contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will not have access to data which is pseudonymised, they will only be able to see dashboards with aggregated data with small number suppression. Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
Medicines dispensed in primary care
NHS England and NHS Improvement requires routine access to the Primary Care Medicines Data, which is collected from NHS Business Services Authority (NHSBSA) by NHS Digital. The request is to have access to this data set from April 2015 onwards.
NHS England and NHS Improvement have a large range of statutory duties, functions, powers and secondary legislation to support, monitor and make provision of health care services within the National Health Service.
As part of this role, NHS England and Improvement requires access to all patient level prescriptions issued by prescribers and dispensed or supplied in the community for England. There are many purposes this pseudonymised patient level data is required, and below are the main of examples of how the data will be used;
NHS 111 Pathway
- Use for COVID-19 purposes, in response to the significant demand for medicines data to support pandemic research and planning, which NHS England and NHS Improvement have been tasked with co-ordinating the national response. This includes reviewing the dispensation of medicines during the pandemic, for both COVID and Non COVID patients. Access to the data would inform whether there are shortages of medicines that patients are unable to access, and may have inadvertently suffered as a result. Does this have a further impact on support services i.e increase in 111 calls, emergency admissions to hospitals etc. This would allow NHS England and NHS Improvement to follow up outcomes, review current policies and put necessary interventions in place.
Shielded Patient list
Access to the shielded patient list will provide robust analysis to inform decision making based on those at most risk of severe illness from COVID-19. As such the use of the shielded patient list is integral to understand how the pandemic will effect those most vulnerable to COVID-19. This data set will inform a variety of analyses supporting the work in response to COVID-19 providing insight into shielding patients' healthcare usage and pathways.
The addition of this dataset will let the analytical teams take into account shielding patients when commissioning, analysing and reviewing services for patients. This dataset will add detail specifically regarding those most vulnerable to COVID-19.
NHSE will also review vaccination programme delivery methods to improve uptake of the most vulnerable in society, therefore ensuring that survival rates of this cohort can be higher with proper targeting and campaigns to increase uptake.
NHS 111 Dataset
As part of an evaluation of the NHS 111 First programme, which is being rolled out across England, NHSE/I want to understand both the effectiveness of the programme in reducing the risk of nosocomial transmission of Covid-19 in emergency departments (EDs) and the potential impact the programme may have on the wider UEC system and primary care.
Access to these data will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand.
Civil Registrations Data
Obesity is poorly recorded in secondary care data sources. There is emerging evidence that obesity increases the risk of mortality from COVID-19 however it is not possible to understand the magnitude of risk or adjust for obesity in addition to wider risk factors using existing data sources. There is a requirement for population level obesity data to understand the impact of obesity on COVID-19 risk and mortality.
This data will be used to understand the impact of Obesity, overweight patients and other co-morbidities on COVID-19 risk and mortality.
Secondary Uses Service (SUS) Data
Understand the impact of COVID-19 on all areas across the system – at a National, Regional and sub regional level. Identify key areas where demand is high for patients (with underlying Health conditions (ie Diabetics or cardiovascular complications) and getting these services back online. GDDPR is required to investigate certain cohorts of patients, to support the planning and restoration of acute services (Elective and outpatient appointments) where due to COVID-19 these services would have stopped to reduce the risk of infection and transmission. The waiting lists have expanded greatly, as a result.
The SUS data will be used to support strategic interventions to enable the restoration of acute services, as well as provide an evidence base for the transformation of services in the future.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
Palantir Technologies UK Limited
• Analytical dashboards that focus on key decision making
Medicines dispensed in primary care
- Patient level prescribing will help inform policy and planning for CCG Prescribing Resource Allocations – 12% of core CCG programmes or circa £8.5 billion, by developing models using patient level data. This will enable deeper understanding of prescribing at a granularity which will ensure that outputs from the models and forward planning are more precise.
- Supporting reimbursement of funds from NHS England and NHS Improvement back to NHSBSA for Specialised medicines.
- Support the successful delivery of commitments laid out in the;
• NHS Long Term Plan
• Next Steps on the Five Year Forward View
• Antimicrobial Resistance (AMR) Strategy
• Life Sciences Industrial Strategy
• World Health Organisation’s 2017 3rd global challenge, ‘Medication without Harm’
- Secondary uses to inform and support prescribing behaviour, decision making and research. The recommendations published in the PHE Review will now be picked up by NHS England and NHS Improvement for implementation.
Shielded Patient List
• Assessing impact and projections for hospital admissions, particularly critical care bed capacity.
• Vaccination programme review.
• Operational planning reports for shielding patients.
• Further service utilisation analysis for COVID-19 patients.
NHS 111 Dataset
A range of analysis and reports to review NHS 111 First Programme focussing on:
• Potentially reducing patient face-to face contact within the UEC system
• The number and characteristics of patients contacting primary care following a 111 call
• The proportion of those directed from 111 to primary care or ED that attend these services
• Rates of compliance to 111 advice, and whether these rates differ between those callers that have an appointment booked via 111 and those that do not
Civil Registrations Data
• A variety of evaluations and risk impact reports looking at the relationship between obesity, overweight patients and other co-morbidities in relation to COVID-19
Secondary Uses Service Data
• Reports that focus on outcomes for strategic planning and organisation of the COVID-19 response
Benefits reported
Examined the impact of Covid-19 on spirometry activity in general practice using GDPPR. It demonstrated that spirometry activity had fallen off a cliff due to Covid. This was previously suspected based on anecdote, but without access to GDPPR it could not have been verified it in data. In response to this discovery, a number of initiatives have been undertaken by NHSEI primary care and respiratory policy colleagues to support the safe recommencement of spirometry in general practice.
DARS-NIC-384608-C9B4L-v2.2 6 April 2021 to 30 September 2021
- Title
- COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 7
- Files released
- 0
Datasets: Civil Registrations of Death; COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR); COVID-19 SGSS First Positives (Second Generation Surveillance System); Medicines dispensed in Primary Care (NHSBSA data); NHS Pathways Data Set; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-384608-C9B4L-v1.6
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2021-04-06 |
Datasets: + COVID-19 SGSS First Positives (Second Generation Surveillance System); + Civil Registrations of Death; + Medicines dispensed in Primary Care (NHSBSA data); + NHS Pathways Data Set; + SUS for Commissioners; + Shielded Patient List
Objective for processing
[49 paragraphs unchanged]
With the pandemic of COVID-19, which began in the United Kingdom back
[10 words unchanged]
of the legal entity of NHS England), NHS England and NHS Improvement
(NHS E/I)
have been tasked with leading the national data response to COVID-19. This
[37 words unchanged]
restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the
COPI (Control
Control
of
Patient Information)
patient information (COPI)
notices issued by the Secretary of State for Health and Social Care
[16 words unchanged]
Regulations 2002, and is designed to support a range of activities, including:
[7 paragraphs unchanged]
NHS England requires pseudonymised
GDPPR
The General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR)
data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI)
[32 words unchanged]
COVID-19 pandemic as set out in the COPI notice and shown below:
[5 paragraphs unchanged]
• NHS England will be monitoring and managing jointly with
PHE;
Public Health England (PHE);
[10 paragraphs unchanged]
• Understand both the effectiveness of the NHS 111 First Programme in
[11 words unchanged]
(EDs) and the potential impact the programme may have on the wider
UEC
(Urgent and Emergency Care) system and primary care.
[4 paragraphs unchanged]
To support these patients, NHS England will be looking to perform a
[61 words unchanged]
same as ‘patient level risk stratification’ as known to be done within
GP
General Practitioner (GP)
Practices, where re-identification of patients is needed for the provision of direct care.
[1 paragraph unchanged]
Below
is a
are
specific
example
examples
of how the data will be used and
linked. There are other use case examples in a separate document provided alongside this application. These are:
linked:
[7 paragraphs unchanged]
The
GDPPR data will be used for specific bespoke use cases such as
[33 words unchanged]
Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under
GDPR,
General Data Protection Regulation (GDPR),
NHS England can rely on Article 6(1)(c) – Legal Obligation to receive
[53 words unchanged]
necessary for reasons of public interest in the area of public health.
[1 paragraph unchanged]
The data received by the Joint Data Controllers is pseudonymised data which is processed under strict controls and therefore meets the ICO Anonymisation Code of Practice.
Data processor 2 - Palantir Technologies UK Limited
Palantir Technologies UK Limited is providing the software, Foundry platform, that powers the front-end data platform. Foundry platform, which has been primarily developed in the UK, enables disparate data to be integrated, cleaned, and harmonised in order to develop a more comprehensive view for NHSE/I staff that will support decision-making better. Foundry platform is built to protect data by design. Palantir is a data processor, not a data controller and will only process data as and when instructed by the joint data controllers in this DSA.
Palantir will have access to fully pseudonymised record level data held in the COVID-19 data store, and are operating under strict controls as set out by NHS England, NHSX and NHS Improvement. This also means that Palantir cannot have access to all the data held in the data store. There is no requirement for Palantir to access or process the GDPPR data, which NHS England and Improvement are in receipt of from NHS Digital.
Palantir, have built analytical dashboards for access by NHS England and Improvement staff, together with staff in the following organisations working under contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will not have access to data which is pseudonymised, they will only be able to see dashboards with aggregated data with small number suppression. Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
Medicines dispensed in primary care
NHS England and NHS Improvement requires routine access to the Primary Care Medicines Data, which is collected from NHS Business Services Authority (NHSBSA) by NHS Digital. The request is to have access to this data set from April 2015 onwards.
NHS England and NHS Improvement have a large range of statutory duties, functions, powers and secondary legislation to support, monitor and make provision of health care services within the National Health Service.
As part of this role, NHS England and Improvement requires access to all patient level prescriptions issued by prescribers and dispensed or supplied in the community for England. There are many purposes this pseudonymised patient level data is required, and below are the main of examples of how the data will be used;
NHS 111 Pathway
- Use for COVID-19 purposes, in response to the significant demand for medicines data to support pandemic research and planning, which NHS England and NHS Improvement have been tasked with co-ordinating the national response. This includes reviewing the dispensation of medicines during the pandemic, for both COVID and Non COVID patients. Access to the data would inform whether there are shortages of medicines that patients are unable to access, and may have inadvertently suffered as a result. Does this have a further impact on support services i.e increase in 111 calls, emergency admissions to hospitals etc. This would allow NHS England and NHS Improvement to follow up outcomes, review current policies and put necessary interventions in place.
Shielded Patient list
Access to the shielded patient list will provide robust analysis to inform decision making based on those at most risk of severe illness from COVID-19. As such the use of the shielded patient list is integral to understand how the pandemic will effect those most vulnerable to COVID-19. This data set will inform a variety of analyses supporting the work in response to COVID-19 providing insight into shielding patients' healthcare usage and pathways.
The addition of this dataset will let the analytical teams take into account shielding patients when commissioning, analysing and reviewing services for patients. This dataset will add detail specifically regarding those most vulnerable to COVID-19.
NHSE will also review vaccination programme delivery methods to improve uptake of the most vulnerable in society, therefore ensuring that survival rates of this cohort can be higher with proper targeting and campaigns to increase uptake.
NHS 111 Dataset
As part of an evaluation of the NHS 111 First programme, which is being rolled out across England, NHSE/I want to understand both the effectiveness of the programme in reducing the risk of nosocomial transmission of Covid-19 in emergency departments (EDs) and the potential impact the programme may have on the wider UEC system and primary care.
Access to these data will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand.
Civil Registrations Data
Obesity is poorly recorded in secondary care data sources. There is emerging evidence that obesity increases the risk of mortality from COVID-19 however it is not possible to understand the magnitude of risk or adjust for obesity in addition to wider risk factors using existing data sources. There is a requirement for population level obesity data to understand the impact of obesity on COVID-19 risk and mortality.
This data will be used to understand the impact of Obesity, overweight patients and other co-morbidities on COVID-19 risk and mortality.
Secondary Uses Service (SUS) Data
Understand the impact of COVID-19 on all areas across the system – at a National, Regional and sub regional level. Identify key areas where demand is high for patients (with underlying Health conditions (ie Diabetics or cardiovascular complications) and getting these services back online. GDDPR is required to investigate certain cohorts of patients, to support the planning and restoration of acute services (Elective and outpatient appointments) where due to COVID-19 these services would have stopped to reduce the risk of infection and transmission. The waiting lists have expanded greatly, as a result.
The SUS data will be used to support strategic interventions to enable the restoration of acute services, as well as provide an evidence base for the transformation of services in the future.
Processing activities
[1 paragraph unchanged]
The
As the
bespoke
Use
use
cases
as
highlighted in Section
5a,
5a require datasets not currently available within the Trusted Research Environment (TRE),
it would not be feasible to utilise the
Trusted Research Environment (TRE),
TRE
and therefore a direct feed from NHS Digital to NHS England is required.
[14 paragraphs unchanged]
Amazon Web Services supply Cloud Services for The Foundry Platform and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
[15 paragraphs unchanged]
• NHS Midlands and Lancashire Commissioning Support Unit
(M&L CSU)
[6 paragraphs unchanged]
NHSE/I are leading on the management of COVID Data store as NHSX have handed it over to NHSE/I. NHSE/I will implement a triage process that will continually monitor what data is being processed, the access controls and controls to mitigate the risk of re-identification. Access to all data or the dashboards is managed by the front door triage process attended by representatives from NHSE/I, PHE, NHSX, NHSD and the Department for Health and Social Care (DHSC). This process involves assessment of the: Purpose/processing required; minimised data items required; roles requiring access and storage and processing locations.
Data processor 7 - Palantir Technologies UK Limited
1. A range of data extracts including pseudonymised record level data from the COVID-19 data store excluding GDPPR data is made accessible to Palantir Technologies UK Ltd.
2. Palantir Technologies UK Limited operating under strict controls by the joint data controllers analyse the selected data extracts and produce dashboards for access by NHS E/I staff.
The GDPPR data is held on it's own server within the National Commissioning Data Repository (NCDR) boundaries and any data to be linked to the GDPPR data is copied into that server.
For clarity, NHS England/Improvement and the CSUs will access the Shielded Patient List, SGSS, NHS 111 data and GDPPR data.
AGEM CSU will access SUS, SGSS, Deaths and Medicines Dispensed in Primary Care data.
Palantir Technologies UK Limited will access a range of extracts from the COVID-19 data store excluding GDPPR data.
Additionally no data flows from NCDR to Palantir Technologies UK Limited.
Although the GDPPR data is pseudonymised, the data is treated as confidential patient data due to this being a restricted data set that is collected only for the purpose of COVID-19 management.
Expected output
[11 paragraphs unchanged] Palantir Technologies UK Limited • Analytical dashboards that focus on key decision making Medicines dispensed in primary care - Patient level prescribing will help inform policy and planning for CCG Prescribing Resource Allocations – 12% of core CCG programmes or circa £8.5 billion, by developing models using patient level data. This will enable deeper understanding of prescribing at a granularity which will ensure that outputs from the models and forward planning are more precise. - Supporting reimbursement of funds from NHS England and NHS Improvement back to NHSBSA for Specialised medicines. - Support the successful delivery of commitments laid out in the; • NHS Long Term Plan • Next Steps on the Five Year Forward View • Antimicrobial Resistance (AMR) Strategy • Life Sciences Industrial Strategy • World Health Organisation’s 2017 3rd global challenge, ‘Medication without Harm’ - Secondary uses to inform and support prescribing behaviour, decision making and research. The recommendations published in the PHE Review will now be picked up by NHS England and NHS Improvement for implementation. Shielded Patient List • Assessing impact and projections for hospital admissions, particularly critical care bed capacity. • Vaccination programme review. • Operational planning reports for shielding patients. • Further service utilisation analysis for COVID-19 patients. NHS 111 Dataset A range of analysis and reports to review NHS 111 First Programme focussing on: • Potentially reducing patient face-to face contact within the UEC system • The number and characteristics of patients contacting primary care following a 111 call • The proportion of those directed from 111 to primary care or ED that attend these services • Rates of compliance to 111 advice, and whether these rates differ between those callers that have an appointment booked via 111 and those that do not Civil Registrations Data • A variety of evaluations and risk impact reports looking at the relationship between obesity, overweight patients and other co-morbidities in relation to COVID-19 Secondary Uses Service Data • Reports that focus on outcomes for strategic planning and organisation of the COVID-19 response
Expected measurable benefits
[1 paragraph unchanged]
• Support primary care to increase capacity and to meet heightened demand as a result of a left shift based on 111 first
• Assessment of the impact of the NHS 111 First Programme on primary care capacity.
[4 paragraphs unchanged]
• Increase resilience in supply chain for PPE
(Personal Protective Equipment)
based on localised demand from primary care
[4 paragraphs unchanged]
• Use the shielded list data to target patients at risk of developing severe complications of COVID-19 with letters and advice to stay at home, as per government message.
• Use the Shielded list data to drive the vaccination programme for ensuring patients are targeted as per the Joint Committee on Vaccination and Immunisation (JVCI) committee guidance.
• NHS England through accessing the data provided, have been able to develop insight and understanding of the services supporting the COVID-19 response and ultimately view how this organisation can better respond and improve the care and quality patients receive. The aim set out to protect patients from the virus and help people live longer. There is a continuing requirement for NHS England to have access the data so that all objectives, purposes, outputs and benefits can continue to be realised. NHS England are accountable to the government on the way the pandemic is being handled from the leaders of the healthcare system, where there is a requirement to feed into government meetings and situation reports to Cabinet Office and ministers. This is to provide assurance as well as direction on key decisions for the work NHS England carries out with the governments commitment to save lives and manage capacity in the hospitals with severely ill patients.
• Reports and dashboards have been created to demonstrate management of pandemic, including hospital management, shifts from face to face activities to telephone and online consultations, management of inequalities analysis, service reviews and development, planning, budgets and allocations for procurement of vaccinations and personal protective equipment.
• The use of the data also ensures BAME (black, Asian, and minority ethnic) – Key workers and citizens are not disadvantaged when advice is given or vaccinations are provided for COVID -19.
Palantir
• Inform key decision making.
• Make it easier for NHSE/I analytical staff to work with the data.
Medicines dispensed in primary care
Data utilisation to understand more about and make improvements to:
• Identifying where individuals are being over prescribed medicines and how that aligns to published guidance.
• Better understand the health needs of the population, and therefore understand stock levels of medicines used for certain conditions.
• Determine the level of generic vs branded dispensing – this informs and impacts funding levels.
• Determine if certain pharmacies are declining to dispense drugs on which they would be dispensing at a loss.
• Understand the difference in prescribing by dispensing doctors to dispensing and prescribing patients.
Shielded Patient List
• Better understanding of the health needs of the shielded patient population.
• More detail added to existing and future analysis that takes into consideration the shielded patients.
NHS 111 Dataset
• Better understanding of the current impact of NHS 111 Service on the wider NHS.
• Inform decision makers of the current models of care and patient pathways and effectiveness of those models and pathways.
Civil Registrations Data
• Better understanding of the risk impact of being overweight, obese and having other co-morbidities with COVID-19.
• Inform commissioning teams to understand their local population's needs and better inform their decision making when planning services for those with co-morbidities.
Secondary Uses Service Data
• Better understanding of the services most effected by the pandemic.
• Inform transformation teams on the services with the largest waiting lists and service usage so they can plan accordingly.
Benefits reported
Not stated in the previous version; added here.
NHS 111 Dataset
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX (an organisation which operates as part of the legal entity of NHS England), NHS England and NHS Improvement (NHS E/I) have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the Control of patient information (COPI) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002, and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England requires pseudonymised The General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with Public Health England (PHE);
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within General Practitioner (GP) Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below are specific examples of how the data will be used and linked:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under General Data Protection Regulation (GDPR), NHS England can rely on Article 6(1)(c) – Legal Obligation to receive and process the Disseminated data from NHS Digital for the Agreed Purposes under the Recipient COPI Notice. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
Data processor 2 - Palantir Technologies UK Limited
Palantir Technologies UK Limited is providing the software, Foundry platform, that powers the front-end data platform. Foundry platform, which has been primarily developed in the UK, enables disparate data to be integrated, cleaned, and harmonised in order to develop a more comprehensive view for NHSE/I staff that will support decision-making better. Foundry platform is built to protect data by design. Palantir is a data processor, not a data controller and will only process data as and when instructed by the joint data controllers in this DSA.
Palantir will have access to fully pseudonymised record level data held in the COVID-19 data store, and are operating under strict controls as set out by NHS England, NHSX and NHS Improvement. This also means that Palantir cannot have access to all the data held in the data store. There is no requirement for Palantir to access or process the GDPPR data, which NHS England and Improvement are in receipt of from NHS Digital.
Palantir, have built analytical dashboards for access by NHS England and Improvement staff, together with staff in the following organisations working under contract: Faculty AI, McKinsey and Deloittes. Faculty AI, McKinsey and Deloittes will not have access to data which is pseudonymised, they will only be able to see dashboards with aggregated data with small number suppression. Data from these dashboards is only available to staff working under contract with the organisations operating jointly under the NHSX banner.
Medicines dispensed in primary care
NHS England and NHS Improvement requires routine access to the Primary Care Medicines Data, which is collected from NHS Business Services Authority (NHSBSA) by NHS Digital. The request is to have access to this data set from April 2015 onwards.
NHS England and NHS Improvement have a large range of statutory duties, functions, powers and secondary legislation to support, monitor and make provision of health care services within the National Health Service.
As part of this role, NHS England and Improvement requires access to all patient level prescriptions issued by prescribers and dispensed or supplied in the community for England. There are many purposes this pseudonymised patient level data is required, and below are the main of examples of how the data will be used;
NHS 111 Pathway
- Use for COVID-19 purposes, in response to the significant demand for medicines data to support pandemic research and planning, which NHS England and NHS Improvement have been tasked with co-ordinating the national response. This includes reviewing the dispensation of medicines during the pandemic, for both COVID and Non COVID patients. Access to the data would inform whether there are shortages of medicines that patients are unable to access, and may have inadvertently suffered as a result. Does this have a further impact on support services i.e increase in 111 calls, emergency admissions to hospitals etc. This would allow NHS England and NHS Improvement to follow up outcomes, review current policies and put necessary interventions in place.
Shielded Patient list
Access to the shielded patient list will provide robust analysis to inform decision making based on those at most risk of severe illness from COVID-19. As such the use of the shielded patient list is integral to understand how the pandemic will effect those most vulnerable to COVID-19. This data set will inform a variety of analyses supporting the work in response to COVID-19 providing insight into shielding patients' healthcare usage and pathways.
The addition of this dataset will let the analytical teams take into account shielding patients when commissioning, analysing and reviewing services for patients. This dataset will add detail specifically regarding those most vulnerable to COVID-19.
NHSE will also review vaccination programme delivery methods to improve uptake of the most vulnerable in society, therefore ensuring that survival rates of this cohort can be higher with proper targeting and campaigns to increase uptake.
NHS 111 Dataset
As part of an evaluation of the NHS 111 First programme, which is being rolled out across England, NHSE/I want to understand both the effectiveness of the programme in reducing the risk of nosocomial transmission of Covid-19 in emergency departments (EDs) and the potential impact the programme may have on the wider UEC system and primary care.
Access to these data will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand.
Civil Registrations Data
Obesity is poorly recorded in secondary care data sources. There is emerging evidence that obesity increases the risk of mortality from COVID-19 however it is not possible to understand the magnitude of risk or adjust for obesity in addition to wider risk factors using existing data sources. There is a requirement for population level obesity data to understand the impact of obesity on COVID-19 risk and mortality.
This data will be used to understand the impact of Obesity, overweight patients and other co-morbidities on COVID-19 risk and mortality.
Secondary Uses Service (SUS) Data
Understand the impact of COVID-19 on all areas across the system – at a National, Regional and sub regional level. Identify key areas where demand is high for patients (with underlying Health conditions (ie Diabetics or cardiovascular complications) and getting these services back online. GDDPR is required to investigate certain cohorts of patients, to support the planning and restoration of acute services (Elective and outpatient appointments) where due to COVID-19 these services would have stopped to reduce the risk of infection and transmission. The waiting lists have expanded greatly, as a result.
The SUS data will be used to support strategic interventions to enable the restoration of acute services, as well as provide an evidence base for the transformation of services in the future.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
Palantir Technologies UK Limited
• Analytical dashboards that focus on key decision making
Medicines dispensed in primary care
- Patient level prescribing will help inform policy and planning for CCG Prescribing Resource Allocations – 12% of core CCG programmes or circa £8.5 billion, by developing models using patient level data. This will enable deeper understanding of prescribing at a granularity which will ensure that outputs from the models and forward planning are more precise.
- Supporting reimbursement of funds from NHS England and NHS Improvement back to NHSBSA for Specialised medicines.
- Support the successful delivery of commitments laid out in the;
• NHS Long Term Plan
• Next Steps on the Five Year Forward View
• Antimicrobial Resistance (AMR) Strategy
• Life Sciences Industrial Strategy
• World Health Organisation’s 2017 3rd global challenge, ‘Medication without Harm’
- Secondary uses to inform and support prescribing behaviour, decision making and research. The recommendations published in the PHE Review will now be picked up by NHS England and NHS Improvement for implementation.
Shielded Patient List
• Assessing impact and projections for hospital admissions, particularly critical care bed capacity.
• Vaccination programme review.
• Operational planning reports for shielding patients.
• Further service utilisation analysis for COVID-19 patients.
NHS 111 Dataset
A range of analysis and reports to review NHS 111 First Programme focussing on:
• Potentially reducing patient face-to face contact within the UEC system
• The number and characteristics of patients contacting primary care following a 111 call
• The proportion of those directed from 111 to primary care or ED that attend these services
• Rates of compliance to 111 advice, and whether these rates differ between those callers that have an appointment booked via 111 and those that do not
Civil Registrations Data
• A variety of evaluations and risk impact reports looking at the relationship between obesity, overweight patients and other co-morbidities in relation to COVID-19
Secondary Uses Service Data
• Reports that focus on outcomes for strategic planning and organisation of the COVID-19 response
Benefits reported
NHS 111 Dataset
DARS-NIC-384608-C9B4L-v1.6 1 April 2021 to 30 September 2021
- Title
- COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 0
Datasets: COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR)
What changed from DARS-NIC-384608-C9B4L-v0.7
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | COVID-19 – NHS England Application | |
| Start date | 2021-04-01 | |
| End date | 2021-09-30 |
Objective for processing
[49 paragraphs unchanged]
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020,
NHSX,
NHSX (an organisation which operates as part of the legal entity of NHS England),
NHS England and NHS Improvement have been tasked with leading the national
[42 words unchanged]
restoration of health services as the need for COVID-19 specific services reduce.
[6 paragraphs unchanged]
The COVID-19 Data Store is a strictly controlled central point that brings
[49 words unchanged]
how the pandemic is impacting all areas of the National Health Service.
One area of the service NHS England does not currently have data for, is Primary Care – specifically the GPES (General Practice Extraction Service) Data for Pandemic Planning and Research (GDPPR) data.
Data stored within the data store, including GDPPR, all share a common pseudo key. This means that GDPPR is linkable, however it must only be linked for purposes listed under this DSA.
[32 paragraphs unchanged]
Data will only be linked with other COVID-19 data where the analysis required has gone through an approval process. This ensures that it is clearly in line with the purposes of NHS England and the COPI Notice.
[5 paragraphs unchanged]
Processing activities
[3 paragraphs unchanged]
The COVID Data Store consists of different areas for processing, and one of those is the Palantir Foundry platform. The GDPPR data will not be processed by Palantir or ingested into the Foundry platform. Palantir Foundry Platform are not involved with the dataset, storage or other form of processing under this application
Under the terms of the DSA, this data can only be accessed by NHSE and NHSI employees and can not be onwardly shared (which for the avoidance of doubt, includes extracts and/or access to online systems within or outside of NHSE and NHSI).
[4 paragraphs unchanged]
The GDPPR data will only be processed by the Joint Data Controllers teams under strict access controls. It will not be disseminated outside of the Joint Data Controller's boundaries and will only be linked with other COVID-19 data where the analysis required has gone through an approval process which demonstrates that it is clearly in line with the purposes outlined in section 5a.
Under the terms of the DSA, this data can only be accessed by the joint data controllers and data processors listed in this DSA.
There will be no Sub-licencing and the GDPPR data will not be shared outside of NHS England.
Aggregated reports only with small number suppression can be shared externally as set out within NHS Digital guidance applicable to each data set.
A secure one-way pseudonymisation process will be implemented in all processing activities where pseudonymisation is mentioned. This process ensures that the linked data is only made available to analysts in a pseudonymised form. Outputs of the analysis from the secure environments will be fully anonymised in aggregated reports with small number suppression.
[5 paragraphs unchanged]
Microsoft Limited provide
IT infrastructure
cloud services
and are therefore listed as
a
data
processors.
processor.
They supply support to the system, but do not access data. Therefore,
[16 words unchanged]
agreement. This includes granting of access to the database[s] containing the data.
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
Data processor 1 - NHS Arden and GEM Commissioning Support Unit
- GDPPR Data
Pseudonymisation is completed within the DSCRO (GEM DSCRO / NW DSCRO) using an open pseudonymiser with a key specific to this project.
Pseudonymisation is completed within the DSCRO (GEM DSCRO / NW DSCRO) and
The data
is then disseminated as follows:
1. Pseudonymised
GDPPR
GDPPR, Shielded Patient List (SPL), Second Generation Surveillance System (SGSS) and NHS 111
data is securely transferred from the DSCRO to
the Joint Data Controllers / Processor
NHS Arden and GEM Commissioning Support Unit.
2. Allowed linkage is between the data sets contained within point 1.
2. NHS England / Improvement also receives identifiable data directly for COVID-19 purposes from providers under COPI.
3. Aggregation of required data will be completed by the Joint Data Controllers (or the Processor as instructed by NHS England).
3. NHS Arden and GEM Commissioning Support Unit share the pseudonymisation key specific to this project with NHS England
Any further reports sent beyond the joint data controllers and processors as stipulated in this agreement will contain aggregate data only, and will be subject to the disclosure controls of the relevant datasets as NHS Digital and ONS guidance: https://www.ons.gov.uk/methodology/methodologytopicsandstatisticalconcepts/disclosurecontrol/healthstatistics
4. NHS England then pseudonymise the data received directly in point 2 and send this to NHS Arden and GEM Commissioning Support Unit.
5. Allowed linkage is between data in point 1 & 2 and pseudonymised data NHS England receives under application DARS-NIC-139035-X4B7K.
6. The data is then re-pseudonymised before allowing access to the Data Controllers. The Data Controllers are therefore unable to reverse the pseudonymisation key
[2 paragraphs unchanged]
•
NHS
Arden and Greater East Midlands Commissioning Support Unit (AGEM CSU)
[4 paragraphs unchanged]
When the NHS England CSU teams are undertaking analysis they are prohibited from sharing anything other than anonymous data with any third parties. In this instance, “anonymous data” means data that is aggregated (with small numbers suppressed in line with NHS Digital guidance).
[6 paragraphs unchanged]
Benefits reported
Stated in the previous version and removed here.
Yielded Benefits is not a requirement for new applications.
Applicant organisation: renamed from NHS England London (Skipton House) to NHS England. The same organisation under a new name, so not counted as a change.
Unchanged: Expected output, Expected measurable benefits.
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX (an organisation which operates as part of the legal entity of NHS England), NHS England and NHS Improvement have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the COPI (Control of Patient Information) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002, and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England requires pseudonymised GDPPR data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with PHE;
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider UEC (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within GP Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below is a specific example of how the data will be used and linked. There are other use case examples in a separate document provided alongside this application. These are:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
The GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under GDPR, NHS England can rely on Article 6(1)(c) – Legal Obligation to receive and process the Disseminated data from NHS Digital for the Agreed Purposes under the Recipient COPI Notice. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
The data received by the Joint Data Controllers is pseudonymised data which is processed under strict controls and therefore meets the ICO Anonymisation Code of Practice.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
DARS-NIC-384608-C9B4L-v0.7 16 July 2020 to 31 March 2021
- Title
- GDPPR COVID-19 – NHS England Application
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 0
Datasets: COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR)
Objective for processing
NHS England, also known as the ‘National Commissioning Board’ leads the National Health Service (NHS) in England. NHS England are responsible for the budget, planning, delivery and day-to-day operation of the commissioning side of the NHS in England as set out in the Health and Social Care Act 2012.
NHS England has responsibility for a wide range of purposes and hold Statutory Duties, including commissioning specialised services, paying for primary care, public health services, offender healthcare and specific services for the armed forces. NHS England is also legally required to undertake a range of non-commissioning functions, including oversight of Clinical Commissioning Group (CCG) and new care models assurance, reviewing major service changes, development of policy and financial allocations.
NHS England’s statutory duties are set out in the NHS Act 2006 and by the Health and Social Care Act 2012 amendments. To enable NHS England to assess the value, quality and effectiveness of the services it commissions, the Health and Social Care Act 2012 (Section 254) empowers NHS England to direct NHS Digital to collect the data it requires. NHS Digital are required to process confidential patient-level data, transform it into an agreed anonymised format which NHS England can legally receive and safely use without impacting the privacy of service users.
The legal bases underpinning some of NHS England’s statutory commissioning and population health management duties are set out below:
Legal Basis
Ref Statute
A1 DUTY: Eliminate discrimination, harassment and victimisation and advance equality of opportunity
A2 DUTY: Have regard to impact on services in certain areas
A3 DUTY: Payment of sums
A4 DUTY: Performance of functions outside England
A5 DUTY: Prevent people from being drawn into terrorism
A6 DUTY: Process data for the prevention or detection of crime
A7 DUTY: Provide integrated services to improve outcomes and reduce inequalities
A8 DUTY: Safeguard and promote the welfare of children
A9 DUTY: Securing continuous improvement in quality of services provided to individuals
A10 DUTY: To arrange the provision of health services in England
A11 DUTY: To collect and analyse information relating to safety of services
A12 DUTY: To commission secondary dental, armed forces and health and justice health services
A13 DUTY: To consider the economic, social and environmental benefits to be achieved through commissioning
A14 DUTY: To ensure health services are provided in an integrated way
A15 DUTY: To exercise functions relating to primary dental services
A16 DUTY: To exercise relevant public health functions
A17 DUTY: To improve quality of services
A18 DUTY: To monitor and improve the quality of care
A19 DUTY: To pay CCGs to meet their expenditure
A20 DUTY: To promote a comprehensive health service
A21 DUTY: To provide certain specified services
A22 DUTY: To provide high secure psychiatric services
A23 DUTY: To provide pharmaceutical services
A24 DUTY: To provide primary medical services
A25 DUTY: To provide primary ophthalmic services
A26 DUTY: To provide secondary community ambulance mental health services or facilities
A27 DUTY: To put and keep in place arrangements to monitor and improve the quality of health care
A28 DUTY: To secure continuous improvement in the quality of services
A29 DUTY: Understand impact of commissioning decisions on provision of services to Welsh and Scottish residents
A30 POWER: Produce documents to support counter fraud and security management functions
A31 POWER: Reimbursement for pharmaceutical remuneration
A32 POWER: To assist SoS in providing health services and exercising public health functions
A33 POWER: To commission certain health services as requested by SoS
A34 POWER: To conduct research
A35 POWER: To make payments to CCGs in respect of quality of services
A36 POWER: To pay for community services
A37 POWER: To scrutinise or review areas of the health service with local authorities
A38 REGULATION: To ensure buying decisions are fair and improve quality and efficiency of healthcare services
A39 REGULATION: To enter into prescribed arrangements between NHSE, CCGs, providers and local authorities
A40 SECONDARY LEGISLATION: Carry out financial duties
A41 SECONDARY LEGISLATION: To provide community dental, health and justice, armed forces and specialised services
In order for NHS England to discharge its statutory duties, all elements of the contracting cycle, from assessing population health needs, through service planning and contract management, to service evaluation and redesign, requires access to high quality data within the appropriate legal framework. As part of its duties, NHS England also has responsibilities to respond to major incidents.
In general data access is required for the purposes of commissioning and underpinning system activities within the NHS England demographic area, including reducing health inequalities, identifying and managing preventable and existing conditions, managing demand, monitoring pathway compliance, comparison to peers, monitoring outcomes, understanding how services impact across the health economy and designing the future healthcare system.
With the pandemic of COVID-19, which began in the United Kingdom back in January 2020, NHSX, NHS England and NHS Improvement have been tasked with leading the national data response to COVID-19. This required a Data Store (specific for COVID-19 data) to be created that ensures data can be used effectively to support the national response to protecting citizens against the COVID-19 virus. This response also includes the recovery and restoration of health services as the need for COVID-19 specific services reduce.
The NHS COVID-19 Data Store has been established under the provisions of the COPI (Control of Patient Information) notices issued by the Secretary of State for Health and Social Care using powers available to him under regulation 3 of the Health Service (Control of Patient Information) Regulations 2002, and is designed to support a range of activities, including:
● Understanding COVID-19 and impact to provision of NHS services and patient outcomes;
● Identifying and understanding information about patients or potential patients with or at risk of COVID-19;
● Delivering services to patients, clinicians, the health services;
● Planning in relation to COVID-19.
These powers give NHS England, an organisation which falls under regulation 3(3) of the COPI regulations, powers delegated by the Secretary of State to require the disclosure of confidential patient information.
The COVID-19 Data Store is a strictly controlled central point that brings together all data necessary to provide NHS England and NHS improvement analysts only, with the most comprehensive datasets related to COVID-19. There is however a requirement to ensure that all necessary data sets, required to support the national response are acquired, as this will provide a full picture of how the pandemic is impacting all areas of the National Health Service. One area of the service NHS England does not currently have data for, is Primary Care – specifically the GPES (General Practice Extraction Service) Data for Pandemic Planning and Research (GDPPR) data.
Data stored within the data store, including GDPPR, all share a common pseudo key. This means that GDPPR is linkable, however it must only be linked for purposes listed under this DSA.
The Data Protection Impact Assessment (DPIA) and Privacy Notice for the use of NHS COVID-19 data can be found at https://www.england.nhs.uk/ourwork/tsd/data-info/
NHS England requires pseudonymised GDPPR data under Regulation 3 the Control of Patient Information Regulations 2002 (COPI) Notice which was issued by the Secretary of State for Health in March 2020. The GDPPR data will be used to provide intelligence to support NHS England in their response to the COVID-19 pandemic as set out in the COPI notice and shown below:
NHS England and NHS Improvement is required to process confidential patient information in the manner set out below for purposes set out in Regulation 3(1) of COPI (insofar as those purposes relate to the current outbreak of COVID-19).
NHS England and NHS Improvement (under the legal entities of Monitor and NHS Trust Development Authority (TRA)) are joint data controllers in this agreement.
The data will be analysed so that health care provision can be planned to support the needs of the population for the COVID-19 purposes and to better understand and plan the impacts on NHS Services and patient outcomes.
Such uses cases of the data include but are not limited to:
• To help plan, monitor and manage the national response to the COVID-19 pandemic, which will help save lives.
• NHS England will be monitoring and managing jointly with PHE;
(i) outbreaks of communicable disease to anticipate downstream impacts to NHS services and patient outcomes;
(ii) incidents of exposure to communicable disease;
(iii) the delivery, efficacy and safety of immunisation programmes;
(iv) adverse reactions to vaccines and medicines;
(v) risks of infection acquired from food or the environment (including water supplies);
(vi) the giving of information to persons about the diagnosis of communicable disease and risks of acquiring such disease.
• Provide comprehensive national pictures of COVID-19 care and outcomes in England (at National, Regional and Sub regional levels) which included understanding COVID-19 and risks to public health, trends in COVID-19 and risks, and controlling and preventing the spread of COVID-19 and its impact on NHS Services and patient outcomes.
• Understand the scope and scale of variation of COVID-19 identification, diagnoses, hospitalisation, treatments, deaths across the national, regional and sub-regional areas.
• Identifying and understanding information about patients or potential patients with or at risk of COVID-19 (for example Obese or Diabetic patients).
• Delivering through NHS services including primary care to patients, the provision of information, fit notes, immunisations, and vaccinations (including school vaccinations).
• Understand both the effectiveness of the NHS 111 First Programme in reducing the risk of nosocomial transmission of COVID-19 in Emergency Departments (EDs) and the potential impact the programme may have on the wider UEC (Urgent and Emergency Care) system and primary care.
• Understanding impacts of patient access to health services for example reviewing the referrals rates to Cancer services a direct or indirect result of COVID-19 and the availability and capacity of those services or that care.
• Review and plan restoration of Health care services and providing funding where necessary to bring services back online, where COVID-19 has had an impact.
Research Ethics Committee (REC) approval is not appropriate under these conditions, as the data will be used to support analysis for policy, guidance and operational management of the NHS.
Poor management and control of COVID-19 will be associated with higher risk of hospitalisations (therefore increased demand and reduced capacity within hospitals) as well as death and long-term health complications of patients. Those who are from a minority ethnic background as well as those patients that have underlying health conditions are more vulnerable to adverse health outcomes from COVID-19.
To support these patients, NHS England will be looking to perform a system level risk stratification. This means NHS England will need to know the overall population and be able to understand the cohorts of patients that are more susceptible to COVID-19. This will be done nationally using Population Segmentation – identifying groups of patients based on diagnoses, ethnicity etc, where there is no requirement to re-identify patients. It is therefore not the same as ‘patient level risk stratification’ as known to be done within GP Practices, where re-identification of patients is needed for the provision of direct care.
Looking at the Primary care system as a whole, the 111 First programme is anticipating an increase in the use of NHS 111 so it is important to understand how any increase in 111 demand impacts on demand for primary care services and the wider urgent and emergency care (UEC) system.
Below is a specific example of how the data will be used and linked. There are other use case examples in a separate document provided alongside this application. These are:
• Use Case 01 – 111 First Programme Evaluation
• Use Case 02 – Public health screening
• Use Case 03 – Flu Vaccination Programme
• Use Case 04 – Mortality increased risk in patients that are overweight
• Use Case 05 – Vaccinations & Immunisations
• Use Case 06 – Restoration of Health Care Services
Data will only be linked with other COVID-19 data where the analysis required has gone through an approval process. This ensures that it is clearly in line with the purposes of NHS England and the COPI Notice.
Access to both GPES and 111 Pathways data, will allow robust analysis to be conducted to inform decision making and development of improved models of care in the UEC system and mitigate the risk of other parts of the health services becoming overburdened with additional demand. It would not be statistically valid to undertake the analysis only using an extract of the GPES data for the cohort who presented at 111, as this would not provide a robust comparison with baseline activities.
The GDPPR data will be used for specific bespoke use cases such as the one illustrated above, it would not be feasible to utilise the Trusted Research Environment (TRE), and therefore a direct feed from NHS Digital to NHS England is required, in order for the Organisation to perform the additional duties in supporting with the COVID-19 efforts.
Under GDPR, NHS England can rely on Article 6(1)(c) – Legal Obligation to receive and process the Disseminated data from NHS Digital for the Agreed Purposes under the Recipient COPI Notice. As this is health information and therefore special category personal data the Recipients can also rely on Article 9(2)(h) – processing is necessary for the purposes of preventative or occupational medicine and 9(2)(i) – processing is necessary for reasons of public interest in the area of public health.
With regard to the application of the Type 1 and national data opt outs to data processed under the COPI notice, our view is that as the COPI notice places a legal requirement on organisations to process Confidential Patient Information (CPI), opt outs will not apply to any data accessed by virtue of the notice. In any case, as set out in NHS Digital’s National Data Opt-Out operational policy guidance CPI processed under regulation 3 of the COPI regulations is not subject to the national data opt- out.
The data received by the Joint Data Controllers is pseudonymised data which is processed under strict controls and therefore meets the ICO Anonymisation Code of Practice.
Expected output
Any outputs to 3rd parties not included as a Data Controller/Processor in this application/agreement must be aggregated
(with small number suppression applied in line with NHS Digital requirements).
Within 1 week of NHS England receiving the data from NHS Digital, it will be able to use the dataset to provide analysis that starts to respond to the following:
• Support the NHS response to COVID-19
• Analyse the spread of COVID-19 diagnoses geographically and demographically, to identify any trends. Appointment activity will also be analysed to better understand use of non-face to face consultation trends and potential differences across geographical areas.
• Operational planning to predict likely demand on primary, community and acute service for vulnerable patients.
• Analysis of resource allocation.
• Diagnosing and monitoring the effects of COVID-19 at a National, Regional and sub regional level.
• Ensuring NHS England has adequate data to inform that interventions and measures put in place to reduce the transmission of COVID-19 are being effective and impactful.
• Analyse factors that result in increased service utilisation for COVID-19 patients.
• Start building modelling and forecasting tools for COVID-19 from Primary care perspective. Learning from and predicting likely patient pathways in order to influence early interventions and other alternatives for patients.
Benefits reported
Yielded Benefits is not a requirement for new applications.
Versions no longer in the register
Earlier editions listed this version of the agreement; the September 2026 edition does not. Each is shown as last published, and none is counted in this page's figures.
DARS-NIC-384608-C9B4L-v6.2 4 October 2022 to 3 October 2023 Last listed January 2023
- Title
- COVID-19 – NHS England Application
- Applicant
- NHS England (Quarry House)
- Datasets
- 13
- Files released
- 0
Datasets: Civil Registrations of Death; COVID-19 Electronic Prescribing and Medicines Administration (ePMA) in Secondary Care; COVID-19 Ethnic Category Data Set; COVID-19 General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR); COVID-19 Hospitalization in England Surveillance System; COVID-19 ICNARC Case Mix Programme for Adult Critical Care; COVID-19 Second Generation Surveillance System (SGSS); COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2); COVID-19 UK Non-hospital Antigen Testing Results (Pillar 2); Medicines dispensed in Primary Care (NHSBSA data); NHS Pathways Data Set; Shielded Patient List; SUS for Commissioners
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds, the earliest of which is July 2021.
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July 2021 —
already listed in the earliest edition this site holds, so it may be older. 2 versions: DARS-NIC-384608-C9B4L-v0.7, DARS-NIC-384608-C9B4L-v1.6
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August 2021
Renamed Applicant organisation: NHS England (Skipton House) now named NHS England London (Skipton House). Not counted as a change.
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September 2021
1 version added: DARS-NIC-384608-C9B4L-v2.2
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November 2021
1 version added: DARS-NIC-384608-C9B4L-v3.2
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December 2021
1 version added: DARS-NIC-384608-C9B4L-v4.2
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August 2022
1 version added: DARS-NIC-384608-C9B4L-v5.2
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November 2022
1 version added: DARS-NIC-384608-C9B4L-v6.2
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January 2023
Amended DARS-NIC-384608-C9B4L-v2.2
- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
− COVID-19 Second Generation Surveillance System (SGSS)
Amended DARS-NIC-384608-C9B4L-v3.2- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
− COVID-19 Second Generation Surveillance System (SGSS)
Amended DARS-NIC-384608-C9B4L-v4.2- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
− COVID-19 Second Generation Surveillance System (SGSS)
Amended DARS-NIC-384608-C9B4L-v5.2- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
− COVID-19 Second Generation Surveillance System (SGSS)
Amended DARS-NIC-384608-C9B4L-v6.2- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
− COVID-19 Second Generation Surveillance System (SGSS)
- Datasets:
+ COVID-19 SGSS First Positives (Second Generation Surveillance System) ·
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February 2023
1 no longer listed: DARS-NIC-384608-C9B4L-v6.2(NHS Digital merged into NHS England that month, and agreements within the merged organisation moved to a separate internal register)
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October 2025
Renamed Data controllers: NHS England (Quarry House) now named NHS England. Not counted as a change.Renamed Applicant organisation: NHS England (Quarry House) now named NHS England. Not counted as a change.
"Amended in place" means NHS England changed the record without issuing a new version number. The register publishes no changelog for those edits; this site infers them by comparing editions. An edit is attributed to the edition it first appears in, not to the date it was made.
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-384608-C9B4L, “COVID-19 – NHS England Application”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-384608-c9b4l/ (accessed [date]).
This address stays the same, but the page is rebuilt with each monthly edition, so the citation names the edition it shows. Every edition's data is kept in the facts store.
Source: datausesregister_september2026.xlsx, September 2026 edition of the NHS England Data Uses Register. Search that workbook for DARS-NIC-384608-C9B4L to see the original rows.