DSfC - CIPHA - CV19
NHS Cheshire and Merseyside Integrated Care Board · ICB - Integrated Care Board
In term In term in the September 2026 edition: the latest version runs to 23 October 2026.
- Reference
- DARS-NIC-396095-H1P1D
- Current version
- v4.5
- Term of current version
- 24 October 2025 to 23 October 2026
- Start date
- 13 October 2020
- Data controller
- Sole Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 0
Why the data was released
Objective for processing
The overarching purpose for this agreement is to support a set of COVID related population health analytics designed to inform both population level planning for COVID recovery and to support the targeting of direct care to vulnerable populations across the Cheshire & Merseyside Integrated Care Board (C&M ICB).
Data released will only be shared with those parties listed and will only be used for COVID-19 purposes as laid out in this agreement. Any non-COVID-19 purpose and any other COVID-19 purpose, except as set out in this agreement, is excluded.
Although C&M ICB is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing Agreement it has been determined that the ICB are the sole data controllers. The data under this Agreement will be processed under GDPR Article 6(1)(e) - Necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller, and Article 9(2)(h) - Necessary for the purposes of preventive or occupational medicine, for the assessment of the working capacity of the employee, medical diagnosis, the provision of health or social care, or treatment or the management of health or social care systems and service.
The COVID related population health analytics will be achieved via analysis of the data requested in this agreement and the data sets listed in the Processing Activities section producing pseudonymised data for place-based local intelligence services. The proposal is to make a set of person level pseudonymised data available to the local placed based intelligence teams within the ICB. This will enable them to support the local system including the COVID recovery cells, public health teams, Hospital and Out of Hospital cells across the Cheshire and Merseyside patch as well as local with COVID planning, which includes support to General Practice and PCNs in intelligence required.
A further example of analysis is a set of automated dashboards in the areas of COVID sit rep reporting, Capacity and Demand, Epidemiology, and Population Stratification.
These dashboards are required for:
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and Merseyside to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks. Its audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable C&M ICB to have the same up to date information on the spread and challenges in the pandemic and the post pandemic period so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and managing demand across acute, community, mental health and local authority services in as near real time as possible, including the ability to understand if there are possible surges or subsequent ‘waves’ emerging by recognising changing trends. It will enable understanding of whether there is enough capacity to meet that demand and allow the Cells described above to take informed actions to control and prevent the spread of COVID. This dashboard is targeted at those user groups that are responsible for planning system capacity including Cheshire and Merseyside region, sub regional teams i.e. North Mersey and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends in mortality and incidence over time at differing levels of geography. It will also provide insight in terms of demographic and health characteristics of individuals most affected by COVID. It will enable identification of geographical outbreaks or ‘hot spots’ of emerging infection. This dashboard is aimed at Public Health departments; The Out of Hospital and Acute Recovery Cells at Cheshire and Mersey Region that are responsible for planning and those responsible for planning a COVID response with PCNs.
Dashboard 4 Population Stratification: This Dashboard enables GP practices to monitor and manage outbreaks and assist in controlling and preventing the spread of COVID by identifying individuals with certain characteristics that will be vulnerable to adverse outcomes as a result of COVID and target services/interventions appropriately to control and prevent the spread of COVID. (This is not the same as risk stratification in general practice that is most commonly used for stratifying the risk of unplanned admission to acute care)
The outputs of Dashboard 4 may also be used for Direct Care Purposes.
Processing activities
Data must only be used for the purposes stipulated within this Data Sharing Agreement. Any additional disclosure / publication will require further approval from NHS England. All access to data is auditable by NHS England.
The Data Controller must keep a record of locations the data is processed and stored. These addresses must be within the UK. The Data Controller should minimise the number of processing and storage locations to prevent excessive processing. NHS England may request a record of processing and storage locations at any time.
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. Data released will only be used for the purposes laid out in the application/agreement.
NHS England 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 ie: employees, agents and contractors of the Data Recipient who may have access to that data)
The former CCG(s) has submitted their Data Security Protection Toolkit (DSPT) for 23/24. The ICB will submit their DSPT in line with the 22/23 submission timetable.
The following CCG(s) previously occupied the footprint of the ICB:
NHS HALTON CCG
NHS KNOWSLEY CCG
NHS SOUTH SEFTON CCG
NHS SOUTHPORT AND FORMBY CCG
NHS ST HELENS CCG
NHS WARRINGTON CCG
NHS WIRRAL CCG
NHS CHESHIRE CCG
NHS LIVERPOOL CCG
All data previously disseminated to the CCG has been transferred to the ICB.
DATA PROCESSORS
Data Processors must be listed in section 5b of this Data Sharing Agreement. These include Cloud and IT infrastructure providers.
The Data Controller should ensure appropriate data processing agreements with all data processors contracted to undertaking work referenced within this agreement
ONWARD SHARING:
There is no requirement for the analytical teams to re-identify patients, but in the cases of the development of risk stratification or other similar primary use tools, the data controllers may need the facility to provide identifiable results back to direct healthcare professionals or local authority direct care staff only for the purpose of direct care. Additionally clinicians, made aware of a number of cases that they believe would need intervention may request re-identification for that direct care purpose.
These instances of re-identification will generally be carried out as programmes of work or, rarely, on an individual/small group basis. National data opt outs are not applied in these cases as they are for the purposes of direct care which follows the legal basis of implied consent.
The following are typical (generic) examples of instances where the re-identification process may be used:
A&E High Attendance usage
The user can filter data to show for example the number of A&E attendances in a given period for each patient. The user can then flag to the relevant GP of the patient any patients that require intervention. An outcome of this is earlier intervention in the patient(s) care thus potentially reducing future costs and minimising future risk.
Population Stratification
Dashboard 4 allows clinicians to identify individuals with certain characteristics that would be vulnerable to the effects of COVID-19 and offer interventions to avoid adverse outcomes.
The Re-identification process for direct care is as follows:
1. Data pseudonymised with the open pseudonymiser is sent from DSCRO to Graphnet Health Ltd
2. The SALT key used for the pseudonymisation is also sent to Graphnet Health Ltd
3. Graphnet uses the SALT key to create a mapping table to link the pseudonym back to the NHS Number
4. The pseudonymised SUS data is then converted back to identifiable data using the mapping table for direct care purposes related to COVID-19 by approved users only.
All direct care use cases which require the re-identification of person identifiable data are designed with the principles of data minimisation and controlled access using role based access controls and row level security; ensuring that only those individuals with a legitimate purpose for accessing data can.
Where data is included in a direct care analytics tool, the CIPHA pseudonym is used as the main patient identifier. Individuals are able to re-identify patient identifiable data on request by a re-identification button in the report which identifies the patient NHS number and name to the individual. This re-identification button has role based access controls specifically assigned for the re-identification purpose. Each time re-identification is requested, data about the re-identification is recorded for audit purposes.
Graphnet has an established protocol for the assurance and acceptance of user requests to the population health platform. This process is also augmented by pre-checks and authorisation made by a delegated Trusted Authority, Mid Mersey Data Analytics.
The process is such:
a. User request is logged with Mid Mersey Data Analytics
b. Mid Mersey Data Analytics log a Cloud access request on the Graphnet Cloud Access system.
c. The Graphnet Cloud access team validate the user request and set up user access requests. Security to Power BI analytics is secured by assigning an appropriate role based on the RBAC model and assigning row level security based on a requested ODS code. Access can also be assigned for a set period of time to allow for fixed term staff access, assuring that access is removed when a contract ends. The Cloud access desk will communicate with the user the details of their access and the details of the organisations they have been assigned by email. All information is stored on the Jira helpdesk system and is fully auditable allowing users to identify which users currently have access to analytics at any point in time.
Aggregated reports only with small number suppression can be shared externally as set out within NHS England guidance applicable to each data set.
SEGREGATION:
Where the Data Processor and/or the Data Controller hold both identifiable and pseudonymised data, the data will be held separately so data cannot be linked.
AUDIT
All access to data is auditable by NHS England in accordance with the Data Sharing Framework Contract and NHS England terms.
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.
DATA MINIMISATION:
Data Minimisation in relation to the data sets listed within the application are listed below. This also includes the purpose on which they would be applied -
For the purpose of Commissioning:
• Patients who are normally registered and/or resident within the ICB regions (including historical activity where the patient was previously registered or resident in another commissioner).
and/or
• Patients treated by a provider where the ICB are the host/co-ordinating commissioner and/or has the primary responsibility for the provider services in the local health economy – this is only for commissioning and relates to both national and local flows.
and/or
• Activity identified by the provider and recorded as such within national systems (such as SUS+) as for the attention of the ICB - this is only for commissioning and relates to both national and local flows.
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
1. SUS+
2. Local Provider Flows (received directly from providers)
a. Acute
b. Ambulance
c. Community
d. Demand for Service
e. Diagnostic Service
f. Emergency Care
g. Experience, Quality and Outcomes
h. Mental Health
i. Other Not Elsewhere Classified
j. Population Data
k. Primary Care Services
l. Public Health Screening
3. Mental Health Minimum Data Set (MHMDS)
4. Mental Health Learning Disability Data Set (MHLDDS)
5. Mental Health Services Data Set (MHSDS)
6. Maternity Services Data Set (MSDS)
7. Improving Access to Psychological Therapy (IAPT)
8. Child and Young People Health Service (CYPHS)
9. Community Services Data Set (CSDS)
10. Diagnostic Imaging Data Set (DIDS)
11. National Cancer Waiting Times Monitoring Data Set (CWT)
12. Civil Registries Data (CRD) (Births)
13. Civil Registries Data (CRD) (Deaths)
14. National Diabetes Audit (NDA)
15. Patient Reported Outcome Measures (PROMs)
16. Shielded Patient List (SPL)
Data quality management and pseudonymisation is completed within the DSCRO and is then disseminated as follows:
Data Processor 1 – Graphnet Health Ltd
1. SUS+, Local Provider data, Mental Health data (MHSDS, MHMDS, MHLDDS), Maternity data (MSDS), Improving Access to Psychological Therapies data (IAPT), Child and Young People’s Health data (CYPHS), Community Services Data Set (CSDS), Diagnostic Imaging data (DIDS), National Cancer Waiting Times Monitoring Data Set (CWT), Civil Registries Data (CRD) (Births and Deaths), National Diabetes Audit (NDA) Patient Reported Outcome Measures (PROMs) and Shielded Patient List (SPL) data only is pseudonymised using the Nottingham Open Pseudonymiser tool in the DSCRO with a specific SALT key for this project. The pseudonymised data is then securely transferred to Arden and GEM Commissioning Support Unit.
2. Arden and GEM Commissioning Support unit add derived fields by using existing data and then transfer the data to Graphnet Health Ltd
3. Graphnet Health Ltd also receive data directly from providers (see points i - iv [Data From Providers below] for details)
4. Graphnet Health Ltd link data and provide analysis
5. Graphnet Health Ltd also receive the specific SALT key for this project from the DSCRO. The key is used to create a mapping table from the pseudonym to NHS Number for the purposes for direct care only by approved users. The data is therefore considered identifiable once transferred to Graphnet Health Ltd.
5. Allowed linkage is between the data sets contained within point 1 and 3.
6. Graphnet Health Ltd then pass the processed, pseudonymised and linked data to the ICB. GPs are also given access to patients to whom they have a legitimate relationship to.
7. Patient level data will not be shared outside of the Data Controllers / Data Processors unless it is for the purpose of direct care and will only be shared within on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression can be shared as set out within NHS England guidance applicable to each data set.
Data From Providers
i. Graphnet Health Ltd receives the following identifiable datasets directly from providers:
Acute HL7
Mental Health
Community
Primary Care
Ambulance 111
Ambulance 999
SDRA Spine
Social Care
Pathology
NPEX
Testing Data
ii. The identifiable data is landed in a segregated section of Graphnet Health Ltd with strict access controls
iii. The data is pseudonymised using the Nottingham Open Pseudonymiser tool and SALT key specific for this project that has been shared via the DSCRO
iv. The pseudonymised data is then sent to Graphnet Healthcare Ltd main system for linkage to other datasets
Expected output
COVID National & Sitrep
This report shows COVID cases, mortality and admissions. It compares trends over time and compares rates by different geographies and providers.
COVID Out of Hospital Capacity & Demand
This report shows capacity and demand for hospital, ready for discharge, care homes, domiciliary care, mental health and community providers.
COVID Testing Report
This report shows numbers, rates, positivity rates of those testing positive. Also homes, schools and organisations that have had an outbreak against the national definitions.
COVID in Hospital Demand Prediction Tool (Manchester Model)
This report provides predicting short term, in hospital COVID bed occupancy split by core and ICU beds.
Enhanced case Finder
This report enables the ability to identify vulnerable cohorts of the population including those advised to shield, with the functionality to drill down to identify patients for targeting of direct care.
COVID Epidemiology
This report shows stratified cases, suspected cases, mortality and people receiving tests by characteristics including age, condition, deprivation and BAME, and over time.
Expected measurable benefits
Benefits at Cheshire and Mersey Region, ICB and Local Authority level
The Cheshire and Merseyside Health Care partnership (C&M HCP) is made up of nine local authority areas (or “places”). The C&M HCP is responsible for planning enough system capacity to respond to any surges in demand due the COVID pandemic, whilst also reintroducing planned care capacity cross both acute, community and mental health providers. It is hoped that demand and capacity reports will enable the C&M HCP and the nine places (eg Cheshire East, Liverpool, Warrington etc) to be sighted on system demand and respond with capacity accordingly.
• Implementation of the system will allow the production of bespoke real-time dashboards to present data in easy to understand visual displays that can then prompt further detailed analysis depending on issues highlighted as being of concern across Cheshire & Merseyside.
• Real-time detailed capacity and demand reporting across all sectors including hospital and out of hospital services will enable accurate reporting as stipulated in NHS England (NHSE) phase three planning guidance and it is hoped allow place-based decision makers to better manage demand and capacity.
What are the potential benefits for GP Practices and Primary Care Networks (PCNs)?
• Identification of vulnerable groups will give Practices and PCNs a better understanding of vulnerable populations and their needs. It is hoped that services can then be planned and targeted more appropriately.
• Analysis of the characteristics of people affected by COVID in their populations and identification of local hotspots may allow targeted interventions based on specific risk factors, for example local shielding advice, patient remote monitoring and specific treatment interventions (such as early use of steroids in selected patients in community). This may lead to reduced morbidity and mortality and better patient outcomes.
What are the potential benefits for patients?
• It is hoped that the detailed data analysis will enable more effective targeted support and/or interventions from services that are available, to at risk individuals.
• Local commissioners may identify service delivery gaps that could be addressed locally by re-organising current service provision or by commissioning additional service provision.
• It is hoped the above will result in improved patient well-being and a reduction in morbidity and mortality associated with Covid infection, over the course of the pandemic.
Benefits reported so far
Use of NHS England data outlined within this agreement has contributed to the following:
1) Enhanced case finding tool for COVID-19
CIPHA have developed an enhanced case-finding tool to enable clinicians across a range of services to access the health record of their patients. This has enabled more informed, insightful conversations with the patient as well as allowing service managers to understand more detail about patients using their services. The tool enhances clinical safety by providing the health history of a patient to support clinical decision-making, ensuring the correct intervention is offered. Use of this tool has allowed clinicians to appropriately manage patients where targeted support can aid in caring for vulnerabilities of at risk individuals.
2) Elective recovery tool (PTL Tool)
This PTL report in CIPHA is designed to support the elective recovery programme by providing detail on waiting lists and insight into the patients waiting for treatments. CIPHA have linked NHS-Digital waiting list data with existing CIPHA data sources to provide insight into those on the waiting list in terms of demographics, long term conditions, department and other protected characteristics. The PTL tool enables the ICS to understand their waiting list and identify underlying issues that may prevent the backlog from reducing. Use of this tool has allowed the ICS to identify patients who have been on waiting lists within particular time periods, supporting clinician decision-making into how to appropriately manage those patients to help reduce overall waiting times for patients. Specifically this has tool has continued to support the ICS in reducing the number of cancer 62-day pathways (patients with and without a decision to treat, but yet to be treated) waiting 63 days or more after an urgent suspected cancer referral.
Datasets on the current version
Legal basis for provision: Other-Regulation 3 of the Health Service (Control of Patient Information)
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Acute-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Ambulance-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Children and Young People Health | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Civil Registration - Births | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Civil Registrations of Death | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Community Services Data Set (CSDS) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Community-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Demand for Service-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Diagnostic Imaging Data Set (DID) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Diagnostic Services-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Emergency Care-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Experience, Quality and Outcomes-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Improving Access to Psychological Therapies (IAPT) v1.5 | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Maternity Services Data Set | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Mental Health and Learning Disabilities Data Set (MHLDDS) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Mental Health Minimum Data Set (MHMDS) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Mental Health Services Data Set (MHSDS) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Mental Health-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| National Cancer Waiting Times Monitoring DataSet (NCWTMDS) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| National Diabetes Audit | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Other Not Elsewhere Classified (NEC)-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Patient Reported Outcome Measures (PROMs) | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Population Data-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Primary Care Services-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Public Health and Screening Services-Local Provider Flows | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| Shielded Patient List | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
| SUS for Commissioners | Identifiable | Sensitive | Frequent Adhoc Flow | Statutory exemption to flow confidential data without consent |
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 5 versions.
DARS-NIC-396095-H1P1D-v4.5 24 October 2025 to 23 October 2026
- Title
- DSfC - CIPHA - CV19
- Commercial
- No
- Sublicensing
- No
- Datasets
- 27
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-396095-H1P1D-v3.6
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-10-24 | |
| End date | 2026-10-23 |
Objective for processing
[11 paragraphs unchanged]
The Data Controller involved in this agreement also have an existing agreement for commissioning purposes (NIC-140059).
Processing activities
PROCESSING CONDITIONS:
[109 paragraphs unchanged]
Benefits reported
[1 paragraph unchanged] 1) Enhanced case finding tool for COVID-19 [1 paragraph unchanged] 2) Elective recovery tool (PTL Tool) [1 paragraph unchanged]
Unchanged: Expected output, Expected measurable benefits.
DARS-NIC-396095-H1P1D-v3.6 10 September 2024 to 11 September 2025
- Title
- DSfC - CIPHA - CV19
- Commercial
- No
- Sublicensing
- No
- Datasets
- 27
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-396095-H1P1D-v2.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Data controller basis | Sole Data Controller | |
| Start date | 2024-09-10 | |
| End date | 2025-09-11 | |
| Acute-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Acute-Local Provider Flows: type of data | Identifiable | |
| Ambulance-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Ambulance-Local Provider Flows: type of data | Identifiable | |
| Children and Young People Health: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Children and Young People Health: type of data | Identifiable | |
| Civil Registration - Births: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Civil Registration - Births: type of data | Identifiable | |
| Civil Registrations of Death: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Civil Registrations of Death: type of data | Identifiable | |
| Community Services Data Set (CSDS): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Community Services Data Set (CSDS): type of data | Identifiable | |
| Community-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Community-Local Provider Flows: type of data | Identifiable | |
| Demand for Service-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Demand for Service-Local Provider Flows: type of data | Identifiable | |
| Diagnostic Imaging Data Set (DID): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Diagnostic Imaging Data Set (DID): type of data | Identifiable | |
| Diagnostic Services-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Diagnostic Services-Local Provider Flows: type of data | Identifiable | |
| Emergency Care-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Emergency Care-Local Provider Flows: type of data | Identifiable | |
| Experience, Quality and Outcomes-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Experience, Quality and Outcomes-Local Provider Flows: type of data | Identifiable | |
| Improving Access to Psychological Therapies Data Set_v1.5: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Improving Access to Psychological Therapies Data Set_v1.5: type of data | Identifiable | |
| Maternity Services Data Set v1.5: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Maternity Services Data Set v1.5: type of data | Identifiable | |
| Mental Health Minimum Data Set (MHMDS): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Mental Health Minimum Data Set (MHMDS): type of data | Identifiable | |
| Mental Health Services Data Set (MHSDS): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Mental Health Services Data Set (MHSDS): type of data | Identifiable | |
| Mental Health and Learning Disabilities Data Set (MHLDDS): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Mental Health and Learning Disabilities Data Set (MHLDDS): type of data | Identifiable | |
| Mental Health-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Mental Health-Local Provider Flows: type of data | Identifiable | |
| National Cancer Waiting Times Monitoring DataSet (NCWTMDS): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| National Cancer Waiting Times Monitoring DataSet (NCWTMDS): type of data | Identifiable | |
| National Diabetes Audit: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| National Diabetes Audit: type of data | Identifiable | |
| Other Not Elsewhere Classified (NEC)-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Other Not Elsewhere Classified (NEC)-Local Provider Flows: type of data | Identifiable | |
| Patient Reported Outcome Measures (PROMs): legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Patient Reported Outcome Measures (PROMs): type of data | Identifiable | |
| Population Data-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Population Data-Local Provider Flows: type of data | Identifiable | |
| Primary Care Services-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Primary Care Services-Local Provider Flows: type of data | Identifiable | |
| Public Health and Screening Services-Local Provider Flows: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Public Health and Screening Services-Local Provider Flows: type of data | Identifiable | |
| SUS for Commissioners: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| SUS for Commissioners: type of data | Identifiable | |
| Shielded Patient List: legal basis | Other-Regulation 3 of the Health Service (Control of Patient Information) | |
| Shielded Patient List: type of data | Identifiable |
Data controllers:
− CHESHIRE EAST COUNCIL; − CHESHIRE WEST AND CHESTER COUNCIL; − HALTON BOROUGH COUNCIL; − KNOWSLEY METROPOLITAN BOROUGH COUNCIL; − LIVERPOOL CITY COUNCIL; − SEFTON METROPOLITAN BOROUGH COUNCIL; − ST HELENS COUNCIL; − WARRINGTON BOROUGH COUNCIL; − WIRRAL BOROUGH COUNCIL
Objective for processing
The overarching purpose for this agreement is to support a set of
[19 words unchanged]
targeting of direct care to vulnerable populations across the Cheshire & Merseyside
Sustainable Transformation Partnership (C&MSTP).
Integrated Care Board (C&M ICB).
[1 paragraph unchanged]
Although
CMSTP
C&M ICB
is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing
Agreements
Agreement
it has been determined that the
8 Clinical Commissioning Groups and 8 Local Authorities
ICB
are the
Joint Data Controllers. These organisations form
sole data controllers. The data under this Agreement will be processed under GDPR Article 6(1)(e) - Necessary for
the
membership
performance of a task carried out in the public interest or in the exercise of official authority vested in the controller, and Article 9(2)(h) - Necessary for the purposes of preventive or occupational medicine, for the assessment
of the
Data Access
working capacity of the employee, medical diagnosis, the provision of health or social care, or treatment or the management of health or social care systems
and
Asset Group within the STP and so for the purpose of this agreement are deemed to be Joint Data Controllers.
service.
The COVID related population health analytics will be achieved via analysis of
[32 words unchanged]
person level pseudonymised data available to the local placed based intelligence teams
that being
within
the
CCG and Local Authorities.
ICB.
This will enable them to support the local system including the COVID
[19 words unchanged]
as local with COVID planning, which includes support to General Practice and
PCN’s
PCNs
in intelligence required.
[2 paragraphs unchanged]
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and
Mersey
Merseyside
to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks.
It’s
Its
audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable
them
C&M ICB
to have the same up to date information on the spread and challenges in the pandemic
and the post pandemic period
so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and
[42 words unchanged]
there is enough capacity to meet that demand and allow the Cells
and STO
described above to take informed actions to control and prevent the spread
[15 words unchanged]
system capacity including Cheshire and Merseyside region, sub regional teams i.e. North
Mersey, individual CCG’s
Mersey
and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends
[65 words unchanged]
responsible for planning and those responsible for planning a COVID response with
PCN’s.
PCNs.
[2 paragraphs unchanged]
The
9 CCGs
Data Controller
involved in this agreement also have an existing agreement for commissioning purposes
(NIC-140059)
(NIC-140059).
Processing activities
[1 paragraph unchanged]
Data must only be used for the purposes stipulated within this Data Sharing Agreement. Any additional disclosure / publication will require further approval from NHS
Digital.
England. All access to data is auditable by NHS England.
Data Processors must only act upon specific instructions from the Data Controller.
The Data Controller must keep a record of locations the data is processed and stored. These addresses must be within the UK. The Data Controller should minimise the number of processing and storage locations to prevent excessive processing. NHS England may request a record of processing and storage locations at any time.
Data can only be stored at the addresses listed under storage addresses.
[1 paragraph unchanged]
Patient level data will not be linked other than as specifically detailed within this Data Sharing Agreement.
Data released will only be used for the purposes laid out in the application/agreement.
NHS
Digital
England
reminds all organisations party to this agreement of the need to comply
[31 words unchanged]
contractors of the Data Recipient who may have access to that data)
The Recipients will 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 Recipients will keep a log of all copies of the disseminated data and who is controlling them and ensure these are updated and destroyed securely.
The former CCG(s) has submitted their Data Security Protection Toolkit (DSPT) for 23/24. The ICB will submit their DSPT in line with the 22/23 submission timetable.
The following CCG(s) previously occupied the footprint of the ICB:
NHS HALTON CCG
NHS KNOWSLEY CCG
NHS SOUTH SEFTON CCG
NHS SOUTHPORT AND FORMBY CCG
NHS ST HELENS CCG
NHS WARRINGTON CCG
NHS WIRRAL CCG
NHS CHESHIRE CCG
NHS LIVERPOOL CCG
All data previously disseminated to the CCG has been transferred to the ICB.
DATA PROCESSORS
Data Processors must be listed in section 5b of this Data Sharing Agreement. These include Cloud and IT infrastructure providers.
The Data Controller should ensure appropriate data processing agreements with all data processors contracted to undertaking work referenced within this agreement
[1 paragraph unchanged]
There is no requirement for the analytical teams to re-identify patients, but in the
cases of the
development of
cohorts of patients considered to be at risk,
risk stratification or other similar primary use tools,
the data controllers may need the facility to provide identifiable results back
[5 words unchanged]
local authority direct care staff only for the purpose of direct care.
All re-id requests will be processed and authorised by the DSCRO on
Additionally clinicians, made aware of
a
case by case basis. National data opt outs are not applied in these
number of
cases
as
that
they
are
believe would need intervention may request re-identification
for
the purposes of
that
direct care
which follows the legal basis of implied consent.
purpose.
An example of a request for the re-id of patients for direct care may be;
These instances of re-identification will generally be carried out as programmes of work or, rarely, on an individual/small group basis. National data opt outs are not applied in these cases as they are for the purposes of direct care which follows the legal basis of implied consent.
The following are typical (generic) examples of instances where the re-identification process may be used:
[1 paragraph unchanged]
The
CCG
user
can filter data to show for example the number of A&E attendances in a given period for each patient. The
CCG
user
can then flag to the relevant GP of the patient any patients
[11 words unchanged]
the patient(s) care thus potentially reducing future costs and minimising future risk.
Polypharmacy re-IDs
Population Stratification
CCG's can request re-ID of a list of patients to be sent to the relevant GP with a high number of medications (ingredient count) and review the medication for these patients. This can help address the risk of polypharmacy which is recognised as an adverse risk factor for patient safety. A by-product of such reviews may be to reduce costs of medication.
Dashboard 4 allows clinicians to identify individuals with certain characteristics that would be vulnerable to the effects of COVID-19 and offer interventions to avoid adverse outcomes.
[1 paragraph unchanged]
1. The CCG identifies a patient cohort (typically small numbers) to be re-identified for the purpose of direct care.
1. Data pseudonymised with the open pseudonymiser is sent from DSCRO to Graphnet Health Ltd
2. The CCG sends a re-id request to the DSCRO. This may be done through the CCG or CSU’s Business Intelligence (BI) Tool, or through a manual form.
2. The SALT key used for the pseudonymisation is also sent to Graphnet Health Ltd
3. The DSCRO (either through an automated system or manual checking in line with the request) assesses as to whether the request passes the specified re-identification process checks. Checks include if the requester is authorised to access identifiable data, if the number of patients in the cohort is appropriate, and that the request does not seem inappropriate or outside of expected parameters, including for example around timings and the requestor’s relationship with patients in the data
3. Graphnet uses the SALT key to create a mapping table to link the pseudonym back to the NHS Number
4. If successful/approved, the DSCRO re-identifies the relevant data item(s) for the appropriate patients and returns the identifiable fields to Health or care professional(s) with a legitimate relationship to the patient. The CCG does not see the identifiable record.
4. The pseudonymised SUS data is then converted back to identifiable data using the mapping table for direct care purposes related to COVID-19 by approved users only.
5. DSCROs retain an audit trail of all re-id requests
All direct care use cases which require the re-identification of person identifiable data are designed with the principles of data minimisation and controlled access using role based access controls and row level security; ensuring that only those individuals with a legitimate purpose for accessing data can.
6. National Data opt outs are not applied for the purpose of direct care
Where data is included in a direct care analytics tool, the CIPHA pseudonym is used as the main patient identifier. Individuals are able to re-identify patient identifiable data on request by a re-identification button in the report which identifies the patient NHS number and name to the individual. This re-identification button has role based access controls specifically assigned for the re-identification purpose. Each time re-identification is requested, data about the re-identification is recorded for audit purposes.
Aggregated reports only with small number suppression can be shared externally as set out within NHS Digital guidance applicable to each data set.
Graphnet has an established protocol for the assurance and acceptance of user requests to the population health platform. This process is also augmented by pre-checks and authorisation made by a delegated Trusted Authority, Mid Mersey Data Analytics.
The process is such:
a. User request is logged with Mid Mersey Data Analytics
b. Mid Mersey Data Analytics log a Cloud access request on the Graphnet Cloud Access system.
c. The Graphnet Cloud access team validate the user request and set up user access requests. Security to Power BI analytics is secured by assigning an appropriate role based on the RBAC model and assigning row level security based on a requested ODS code. Access can also be assigned for a set period of time to allow for fixed term staff access, assuring that access is removed when a contract ends. The Cloud access desk will communicate with the user the details of their access and the details of the organisations they have been assigned by email. All information is stored on the Jira helpdesk system and is fully auditable allowing users to identify which users currently have access to analytics at any point in time.
Aggregated reports only with small number suppression can be shared externally as set out within NHS England guidance applicable to each data set.
[3 paragraphs unchanged]
All access to data is auditable by NHS
Digital
England
in accordance with the Data Sharing Framework Contract and NHS
Digital
England
terms.
[4 paragraphs unchanged]
• Patients who are normally registered and/or resident within the
CCG
ICB
regions (including historical activity where the patient was previously registered or resident in another commissioner).
[1 paragraph unchanged]
• Patients treated by a provider where the
CCG
ICB
are the host/co-ordinating commissioner and/or has the primary responsibility for the provider
[8 words unchanged]
is only for commissioning and relates to both national and local flows.
[1 paragraph unchanged]
• Activity identified by the provider and recorded as such within national systems (such as SUS+) as for the attention of the
CCG
ICB
- this is only for commissioning and relates to both national and local flows.
[33 paragraphs unchanged]
3. Graphnet Health Ltd also receive data directly from providers (see points i -
v
iv [Data From Providers below]
for details)
[1 paragraph unchanged]
5. Graphnet Health Ltd also receive the specific SALT key for this project from the DSCRO. The key is used to create a mapping table from the pseudonym to NHS Number for the purposes for direct care only by approved users. The data is therefore considered identifiable once transferred to Graphnet Health Ltd.
[1 paragraph unchanged]
6. Graphnet Health Ltd then pass the processed, pseudonymised and linked data to the
Data Controllers.
ICB. GPs are also given access to patients to whom they have a legitimate relationship to.
7. Patient level data will not be shared outside of the Data
[39 words unchanged]
with small number suppression can be shared as set out within NHS
Digital
England
guidance applicable to each data set.
[16 paragraphs unchanged]
v. The identifiable data is then deleted from the segregated area
For clarity, the reidentification of individuals for GP Direct Care purposes is carried out by the DSCRO.
Expected measurable benefits
Benefits at Cheshire and Mersey Region,
CCG
ICB
and Local Authority level
The Cheshire and Merseyside Health Care partnership (C&M HCP) is made up
[30 words unchanged]
reintroducing planned care capacity cross both acute, community and mental health providers.
Demand
It is hoped that demand
and capacity reports will enable the C&M HCP and the nine places
[5 words unchanged]
etc) to be sighted on system demand and respond with capacity accordingly.
[1 paragraph unchanged]
Available once data flows.
• C&M Covid dashboards including cases rates, testing rates and system metrics such as hospital admissions and local mortality rates will enable local health care systems within the C&M footprint to understand the current Covid situation and respond with appropriate policy.
Available within 3-6 months.
• An epidemiology dashboard will allow place-based decision makers to identify the population characteristics of people presenting for tests, cases and mortality to better understand the nature of the pandemic and identify if there are particular cohorts that are consuming testing at a greater rate than others to help manage testing capacity.
Available within 3-6 months.
• A specific testing dashboard will help place-based decision makers to identify geographical Covid hot spots and drill down to identify patterns and/or vulnerable cohorts for management. This may allow more targeted intervention at place-based or more local geographies.
Available within 3-6 months.
[1 paragraph unchanged]
Available within 3-6 months.
What are the potential benefits for GP Practices and Primary Care Networks (PCNs)?
• The system will provide the data to enable the C&M HCP and place-based NHS organisations to follow the NHSE planning guidance which includes the following:
“Restore NHS services inclusively, so that they are used by those in greatest need. This will be guided by new, core performance monitoring of service use and outcomes among those from the most deprived neighbourhoods and from Black and Asian communities, by 31 October 2020.
Ensure datasets are complete and timely, to underpin an understanding of and response to inequalities. All NHS organisations should proactively review and ensure the completeness of patient ethnicity data by no later than 31 December 2020, with general practice prioritising those groups at significant risk of COVID-19 from 1 September 2020.
Collaborate locally in planning and delivering action to address health inequalities, including incorporating in plans for restoring critical services by 21 September; better listening to communities and strengthening local accountability; deepening partnerships with local authorities and the voluntary and community sector; and maintaining a continual focus on implementation of these actions, resources and impact, including a full report by 31 March 2021.”
https://www.england.nhs.uk/publication/implementing-phase-3-of-the-nhs-response-to-the-covid-19-pandemic/
What are the benefits for GP Practices and Primary Care Networks (PCNs)?
[1 paragraph unchanged]
Available within 3-6 months.
• Analysis of the characteristics of people affected by COVID in their populations and identification of local hotspots may allow targeted interventions based on specific risk factors, for example local shielding advice, patient remote monitoring and specific treatment interventions (such as early use of steroids in selected patients in community). This may lead to reduced morbidity and mortality and better patient outcomes.
• Analysis of the characteristics of people affected by COVID in their populations and identification of local hotspots may allow targeted interventions based on specific risk factors, for example local shielding advice, patient remote monitoring and specific treatment interventions (such as early use of steroids in selected patients in community). This may lead to reduced morbidity and mortality and so better patient outcomes.
What are the potential benefits for patients?
Available within 3-6 months.
What are the benefits for patients?
[1 paragraph unchanged]
Available within 3-6 months.
[1 paragraph unchanged]
Available within 3-6 months.
• It is hoped the above will result in improved patient well-being and a reduction in morbidity and mortality associated with Covid infection, over the course of the pandemic.
• It is hoped the above will result in improved patient well-being and a reduction in morbidity and mortality associated with Covid infection.
Available over the course of the pandemic, may be seen within 3-6 months.
Benefits reported
Not stated in the previous version; added here.
Use of NHS England data outlined within this agreement has contributed to the following:
Enhanced case finding tool for COVID-19
CIPHA have developed an enhanced case-finding tool to enable clinicians across a range of services to access the health record of their patients. This has enabled more informed, insightful conversations with the patient as well as allowing service managers to understand more detail about patients using their services. The tool enhances clinical safety by providing the health history of a patient to support clinical decision-making, ensuring the correct intervention is offered. Use of this tool has allowed clinicians to appropriately manage patients where targeted support can aid in caring for vulnerabilities of at risk individuals.
Elective recovery tool (PTL Tool)
This PTL report in CIPHA is designed to support the elective recovery programme by providing detail on waiting lists and insight into the patients waiting for treatments. CIPHA have linked NHS-Digital waiting list data with existing CIPHA data sources to provide insight into those on the waiting list in terms of demographics, long term conditions, department and other protected characteristics. The PTL tool enables the ICS to understand their waiting list and identify underlying issues that may prevent the backlog from reducing. Use of this tool has allowed the ICS to identify patients who have been on waiting lists within particular time periods, supporting clinician decision-making into how to appropriately manage those patients to help reduce overall waiting times for patients. Specifically this has tool has continued to support the ICS in reducing the number of cancer 62-day pathways (patients with and without a decision to treat, but yet to be treated) waiting 63 days or more after an urgent suspected cancer referral.
Applicant organisation: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Organisation type: renamed from Sub ICB Location to ICB - Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Data controllers: renamed from NHS Cheshire and Merseyside ICB to NHS Cheshire and Merseyside Integrated Care Board. The same organisation under a new name, so not counted as a change.
Changed only in punctuation, spacing or capitalisation: Expected output.
Objective for processing
The overarching purpose for this agreement is to support a set of COVID related population health analytics designed to inform both population level planning for COVID recovery and to support the targeting of direct care to vulnerable populations across the Cheshire & Merseyside Integrated Care Board (C&M ICB).
Data released will only be shared with those parties listed and will only be used for COVID-19 purposes as laid out in this agreement. Any non-COVID-19 purpose and any other COVID-19 purpose, except as set out in this agreement, is excluded.
Although C&M ICB is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing Agreement it has been determined that the ICB are the sole data controllers. The data under this Agreement will be processed under GDPR Article 6(1)(e) - Necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller, and Article 9(2)(h) - Necessary for the purposes of preventive or occupational medicine, for the assessment of the working capacity of the employee, medical diagnosis, the provision of health or social care, or treatment or the management of health or social care systems and service.
The COVID related population health analytics will be achieved via analysis of the data requested in this agreement and the data sets listed in the Processing Activities section producing pseudonymised data for place-based local intelligence services. The proposal is to make a set of person level pseudonymised data available to the local placed based intelligence teams within the ICB. This will enable them to support the local system including the COVID recovery cells, public health teams, Hospital and Out of Hospital cells across the Cheshire and Merseyside patch as well as local with COVID planning, which includes support to General Practice and PCNs in intelligence required.
A further example of analysis is a set of automated dashboards in the areas of COVID sit rep reporting, Capacity and Demand, Epidemiology, and Population Stratification.
These dashboards are required for:
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and Merseyside to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks. Its audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable C&M ICB to have the same up to date information on the spread and challenges in the pandemic and the post pandemic period so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and managing demand across acute, community, mental health and local authority services in as near real time as possible, including the ability to understand if there are possible surges or subsequent ‘waves’ emerging by recognising changing trends. It will enable understanding of whether there is enough capacity to meet that demand and allow the Cells described above to take informed actions to control and prevent the spread of COVID. This dashboard is targeted at those user groups that are responsible for planning system capacity including Cheshire and Merseyside region, sub regional teams i.e. North Mersey and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends in mortality and incidence over time at differing levels of geography. It will also provide insight in terms of demographic and health characteristics of individuals most affected by COVID. It will enable identification of geographical outbreaks or ‘hot spots’ of emerging infection. This dashboard is aimed at Public Health departments; The Out of Hospital and Acute Recovery Cells at Cheshire and Mersey Region that are responsible for planning and those responsible for planning a COVID response with PCNs.
Dashboard 4 Population Stratification: This Dashboard enables GP practices to monitor and manage outbreaks and assist in controlling and preventing the spread of COVID by identifying individuals with certain characteristics that will be vulnerable to adverse outcomes as a result of COVID and target services/interventions appropriately to control and prevent the spread of COVID. (This is not the same as risk stratification in general practice that is most commonly used for stratifying the risk of unplanned admission to acute care)
The outputs of Dashboard 4 may also be used for Direct Care Purposes.
The Data Controller involved in this agreement also have an existing agreement for commissioning purposes (NIC-140059).
Expected output
COVID National & Sitrep
This report shows COVID cases, mortality and admissions. It compares trends over time and compares rates by different geographies and providers.
COVID Out of Hospital Capacity & Demand
This report shows capacity and demand for hospital, ready for discharge, care homes, domiciliary care, mental health and community providers.
COVID Testing Report
This report shows numbers, rates, positivity rates of those testing positive. Also homes, schools and organisations that have had an outbreak against the national definitions.
COVID in Hospital Demand Prediction Tool (Manchester Model)
This report provides predicting short term, in hospital COVID bed occupancy split by core and ICU beds.
Enhanced case Finder
This report enables the ability to identify vulnerable cohorts of the population including those advised to shield, with the functionality to drill down to identify patients for targeting of direct care.
COVID Epidemiology
This report shows stratified cases, suspected cases, mortality and people receiving tests by characteristics including age, condition, deprivation and BAME, and over time.
Benefits reported
Use of NHS England data outlined within this agreement has contributed to the following:
Enhanced case finding tool for COVID-19
CIPHA have developed an enhanced case-finding tool to enable clinicians across a range of services to access the health record of their patients. This has enabled more informed, insightful conversations with the patient as well as allowing service managers to understand more detail about patients using their services. The tool enhances clinical safety by providing the health history of a patient to support clinical decision-making, ensuring the correct intervention is offered. Use of this tool has allowed clinicians to appropriately manage patients where targeted support can aid in caring for vulnerabilities of at risk individuals.
Elective recovery tool (PTL Tool)
This PTL report in CIPHA is designed to support the elective recovery programme by providing detail on waiting lists and insight into the patients waiting for treatments. CIPHA have linked NHS-Digital waiting list data with existing CIPHA data sources to provide insight into those on the waiting list in terms of demographics, long term conditions, department and other protected characteristics. The PTL tool enables the ICS to understand their waiting list and identify underlying issues that may prevent the backlog from reducing. Use of this tool has allowed the ICS to identify patients who have been on waiting lists within particular time periods, supporting clinician decision-making into how to appropriately manage those patients to help reduce overall waiting times for patients. Specifically this has tool has continued to support the ICS in reducing the number of cancer 62-day pathways (patients with and without a decision to treat, but yet to be treated) waiting 63 days or more after an urgent suspected cancer referral.
DARS-NIC-396095-H1P1D-v2.2 16 September 2021 to 31 March 2022
- Title
- DSfC - CIPHA - CV19
- Commercial
- No
- Sublicensing
- No
- Datasets
- 27
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-396095-H1P1D-v1.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2021-09-16 | |
| End date | 2022-03-31 |
Data controllers:
+ WIRRAL BOROUGH COUNCIL · − WIRRAL METROPOLITAN BOROUGH COUNCIL - PUBLIC HEALTH
Processing activities
[9 paragraphs unchanged]
Patient level data will not be shared outside of the Data Controllers / Data Processors unless it is for the purpose of Direct Care, where it may be shared only with those health professionals who have a legitimate relationship with the patient and a legitimate reason to access the data.
There is no requirement for the analytical teams to re-identify patients, but in the development of cohorts of patients considered to be at risk, the data controllers may need the facility to provide identifiable results back to direct healthcare professionals or local authority direct care staff only for the purpose of direct care. All re-id requests will be processed and authorised by the DSCRO on a case by case basis. National data opt outs are not applied in these cases as they are for the purposes of direct care which follows the legal basis of implied consent.
An example of a request for the re-id of patients for direct care may be;
A&E High Attendance usage
The CCG can filter data to show for example the number of A&E attendances in a given period for each patient. The CCG can then flag to the relevant GP of the patient any patients that require intervention. An outcome of this is earlier intervention in the patient(s) care thus potentially reducing future costs and minimising future risk.
Polypharmacy re-IDs
CCG's can request re-ID of a list of patients to be sent to the relevant GP with a high number of medications (ingredient count) and review the medication for these patients. This can help address the risk of polypharmacy which is recognised as an adverse risk factor for patient safety. A by-product of such reviews may be to reduce costs of medication.
The Re-identification process for direct care is as follows:
1. The CCG identifies a patient cohort (typically small numbers) to be re-identified for the purpose of direct care.
2. The CCG sends a re-id request to the DSCRO. This may be done through the CCG or CSU’s Business Intelligence (BI) Tool, or through a manual form.
3. The DSCRO (either through an automated system or manual checking in line with the request) assesses as to whether the request passes the specified re-identification process checks. Checks include if the requester is authorised to access identifiable data, if the number of patients in the cohort is appropriate, and that the request does not seem inappropriate or outside of expected parameters, including for example around timings and the requestor’s relationship with patients in the data
4. If successful/approved, the DSCRO re-identifies the relevant data item(s) for the appropriate patients and returns the identifiable fields to Health or care professional(s) with a legitimate relationship to the patient. The CCG does not see the identifiable record.
5. DSCROs retain an audit trail of all re-id requests
6. National Data opt outs are not applied for the purpose of direct care
[70 paragraphs unchanged]
Unchanged: Objective for processing, Expected output, Expected measurable benefits.
Objective for processing
The overarching purpose for this agreement is to support a set of COVID related population health analytics designed to inform both population level planning for COVID recovery and to support the targeting of direct care to vulnerable populations across the Cheshire & Merseyside Sustainable Transformation Partnership (C&MSTP).
Data released will only be shared with those parties listed and will only be used for COVID-19 purposes as laid out in this agreement. Any non-COVID-19 purpose and any other COVID-19 purpose, except as set out in this agreement, is excluded.
Although CMSTP is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing Agreements it has been determined that the 8 Clinical Commissioning Groups and 8 Local Authorities are the Joint Data Controllers. These organisations form the membership of the Data Access and Asset Group within the STP and so for the purpose of this agreement are deemed to be Joint Data Controllers.
The COVID related population health analytics will be achieved via analysis of the data requested in this agreement and the data sets listed in the Processing Activities section producing pseudonymised data for place-based local intelligence services. The proposal is to make a set of person level pseudonymised data available to the local placed based intelligence teams that being the CCG and Local Authorities. This will enable them to support the local system including the COVID recovery cells, public health teams, Hospital and Out of Hospital cells across the Cheshire and Merseyside patch as well as local with COVID planning, which includes support to General Practice and PCN’s in intelligence required.
A further example of analysis is a set of automated dashboards in the areas of COVID sit rep reporting, Capacity and Demand, Epidemiology, and Population Stratification.
These dashboards are required for:
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and Mersey to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks. It’s audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable them to have the same up to date information on the spread and challenges in the pandemic so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and managing demand across acute, community, mental health and local authority services in as near real time as possible, including the ability to understand if there are possible surges or subsequent ‘waves’ emerging by recognising changing trends. It will enable understanding of whether there is enough capacity to meet that demand and allow the Cells and STO described above to take informed actions to control and prevent the spread of COVID. This dashboard is targeted at those user groups that are responsible for planning system capacity including Cheshire and Merseyside region, sub regional teams i.e. North Mersey, individual CCG’s and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends in mortality and incidence over time at differing levels of geography. It will also provide insight in terms of demographic and health characteristics of individuals most affected by COVID. It will enable identification of geographical outbreaks or ‘hot spots’ of emerging infection. This dashboard is aimed at Public Health departments; The Out of Hospital and Acute Recovery Cells at Cheshire and Mersey Region that are responsible for planning and those responsible for planning a COVID response with PCN’s.
Dashboard 4 Population Stratification: This Dashboard enables GP practices to monitor and manage outbreaks and assist in controlling and preventing the spread of COVID by identifying individuals with certain characteristics that will be vulnerable to adverse outcomes as a result of COVID and target services/interventions appropriately to control and prevent the spread of COVID. (This is not the same as risk stratification in general practice that is most commonly used for stratifying the risk of unplanned admission to acute care)
The outputs of Dashboard 4 may also be used for Direct Care Purposes.
The 9 CCGs involved in this agreement also have an existing agreement for commissioning purposes (NIC-140059)
Expected output
COVID National & Sitrep
This report shows COVID cases, mortality and admissions. It compares trends
over time and compares rates by different geographies and providers.
COVID Out of Hospital Capacity & Demand
This report shows capacity and demand for hospital, ready for discharge,
care homes, domiciliary care, mental health and community providers.
COVID Testing Report
This report shows numbers, rates, positivity rates of those testing positive.
Also homes, schools and organisations that have had an outbreak against
The national definitions.
COVID in Hospital Demand Prediction Tool (Manchester Model)
This report provides predicting short term, in hospital COVID bed occupancy
split by core and ICU beds.
Enhanced case Finder
This report enables the ability to identify vulnerable cohorts of the
population including those advised to shield, with the functionality to drill
down to identify patients for targeting of direct care.
COVID Epidemiology
This report shows stratified cases, suspected cases, mortality and people
receiving tests by characteristics including age, condition, deprivation and BAME,
and over time.
DARS-NIC-396095-H1P1D-v1.2 18 March 2021 to 30 September 2021
- Title
- DSfC - CIPHA - CV19
- Commercial
- No
- Sublicensing
- No
- Datasets
- 27
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Shielded Patient List; SUS for Commissioners
What changed from DARS-NIC-396095-H1P1D-v0.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2021-03-18 | |
| End date | 2021-09-30 |
Objective for processing
[11 paragraphs unchanged]
The 9 CCGs involved in this agreement also have
a
an existing agreement for commissioning purposes (NIC-140059)
Benefits reported
Stated in the previous version and removed here.
Yielded Benefits is not a requirement for new applications.
Unchanged: Processing activities, Expected output, Expected measurable benefits.
Objective for processing
The overarching purpose for this agreement is to support a set of COVID related population health analytics designed to inform both population level planning for COVID recovery and to support the targeting of direct care to vulnerable populations across the Cheshire & Merseyside Sustainable Transformation Partnership (C&MSTP).
Data released will only be shared with those parties listed and will only be used for COVID-19 purposes as laid out in this agreement. Any non-COVID-19 purpose and any other COVID-19 purpose, except as set out in this agreement, is excluded.
Although CMSTP is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing Agreements it has been determined that the 8 Clinical Commissioning Groups and 8 Local Authorities are the Joint Data Controllers. These organisations form the membership of the Data Access and Asset Group within the STP and so for the purpose of this agreement are deemed to be Joint Data Controllers.
The COVID related population health analytics will be achieved via analysis of the data requested in this agreement and the data sets listed in the Processing Activities section producing pseudonymised data for place-based local intelligence services. The proposal is to make a set of person level pseudonymised data available to the local placed based intelligence teams that being the CCG and Local Authorities. This will enable them to support the local system including the COVID recovery cells, public health teams, Hospital and Out of Hospital cells across the Cheshire and Merseyside patch as well as local with COVID planning, which includes support to General Practice and PCN’s in intelligence required.
A further example of analysis is a set of automated dashboards in the areas of COVID sit rep reporting, Capacity and Demand, Epidemiology, and Population Stratification.
These dashboards are required for:
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and Mersey to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks. It’s audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable them to have the same up to date information on the spread and challenges in the pandemic so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and managing demand across acute, community, mental health and local authority services in as near real time as possible, including the ability to understand if there are possible surges or subsequent ‘waves’ emerging by recognising changing trends. It will enable understanding of whether there is enough capacity to meet that demand and allow the Cells and STO described above to take informed actions to control and prevent the spread of COVID. This dashboard is targeted at those user groups that are responsible for planning system capacity including Cheshire and Merseyside region, sub regional teams i.e. North Mersey, individual CCG’s and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends in mortality and incidence over time at differing levels of geography. It will also provide insight in terms of demographic and health characteristics of individuals most affected by COVID. It will enable identification of geographical outbreaks or ‘hot spots’ of emerging infection. This dashboard is aimed at Public Health departments; The Out of Hospital and Acute Recovery Cells at Cheshire and Mersey Region that are responsible for planning and those responsible for planning a COVID response with PCN’s.
Dashboard 4 Population Stratification: This Dashboard enables GP practices to monitor and manage outbreaks and assist in controlling and preventing the spread of COVID by identifying individuals with certain characteristics that will be vulnerable to adverse outcomes as a result of COVID and target services/interventions appropriately to control and prevent the spread of COVID. (This is not the same as risk stratification in general practice that is most commonly used for stratifying the risk of unplanned admission to acute care)
The outputs of Dashboard 4 may also be used for Direct Care Purposes.
The 9 CCGs involved in this agreement also have an existing agreement for commissioning purposes (NIC-140059)
Expected output
COVID National & Sitrep
This report shows COVID cases, mortality and admissions. It compares trends
over time and compares rates by different geographies and providers.
COVID Out of Hospital Capacity & Demand
This report shows capacity and demand for hospital, ready for discharge,
care homes, domiciliary care, mental health and community providers.
COVID Testing Report
This report shows numbers, rates, positivity rates of those testing positive.
Also homes, schools and organisations that have had an outbreak against
The national definitions.
COVID in Hospital Demand Prediction Tool (Manchester Model)
This report provides predicting short term, in hospital COVID bed occupancy
split by core and ICU beds.
Enhanced case Finder
This report enables the ability to identify vulnerable cohorts of the
population including those advised to shield, with the functionality to drill
down to identify patients for targeting of direct care.
COVID Epidemiology
This report shows stratified cases, suspected cases, mortality and people
receiving tests by characteristics including age, condition, deprivation and BAME,
and over time.
DARS-NIC-396095-H1P1D-v0.2 13 October 2020 to 31 March 2021
- Title
- DSfC - CIPHA - CV19
- Commercial
- No
- Sublicensing
- No
- Datasets
- 27
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Shielded Patient List; SUS for Commissioners
Objective for processing
The overarching purpose for this agreement is to support a set of COVID related population health analytics designed to inform both population level planning for COVID recovery and to support the targeting of direct care to vulnerable populations across the Cheshire & Merseyside Sustainable Transformation Partnership (C&MSTP).
Data released will only be shared with those parties listed and will only be used for COVID-19 purposes as laid out in this agreement. Any non-COVID-19 purpose and any other COVID-19 purpose, except as set out in this agreement, is excluded.
Although CMSTP is made up of over 450 organisations (including more than 350 GP practices) for the purposes of this Data Sharing Agreements it has been determined that the 8 Clinical Commissioning Groups and 8 Local Authorities are the Joint Data Controllers. These organisations form the membership of the Data Access and Asset Group within the STP and so for the purpose of this agreement are deemed to be Joint Data Controllers.
The COVID related population health analytics will be achieved via analysis of the data requested in this agreement and the data sets listed in the Processing Activities section producing pseudonymised data for place-based local intelligence services. The proposal is to make a set of person level pseudonymised data available to the local placed based intelligence teams that being the CCG and Local Authorities. This will enable them to support the local system including the COVID recovery cells, public health teams, Hospital and Out of Hospital cells across the Cheshire and Merseyside patch as well as local with COVID planning, which includes support to General Practice and PCN’s in intelligence required.
A further example of analysis is a set of automated dashboards in the areas of COVID sit rep reporting, Capacity and Demand, Epidemiology, and Population Stratification.
These dashboards are required for:
Dashboard 1: COVID sit rep reporting: this suite of reports will show the daily situation of COVID in Cheshire and Mersey to aid the monitoring and management of outbreaks and incidents including cases, mortality, hospital admissions, testing and outbreaks. It’s audience is system wide including local Recovery Cells and Hospital and Out of Hospital cells, all designated by government to locally manage the pandemic. It will enable them to have the same up to date information on the spread and challenges in the pandemic so they can make informed population management decisions.
Dashboard 2 Capacity and Demand: This dashboard will assist in monitoring and managing demand across acute, community, mental health and local authority services in as near real time as possible, including the ability to understand if there are possible surges or subsequent ‘waves’ emerging by recognising changing trends. It will enable understanding of whether there is enough capacity to meet that demand and allow the Cells and STO described above to take informed actions to control and prevent the spread of COVID. This dashboard is targeted at those user groups that are responsible for planning system capacity including Cheshire and Merseyside region, sub regional teams i.e. North Mersey, individual CCG’s and Primary Care Networks.
Dashboard 3 Epidemiology: This dashboard will enable monitoring and recognition of trends in mortality and incidence over time at differing levels of geography. It will also provide insight in terms of demographic and health characteristics of individuals most affected by COVID. It will enable identification of geographical outbreaks or ‘hot spots’ of emerging infection. This dashboard is aimed at Public Health departments; The Out of Hospital and Acute Recovery Cells at Cheshire and Mersey Region that are responsible for planning and those responsible for planning a COVID response with PCN’s.
Dashboard 4 Population Stratification: This Dashboard enables GP practices to monitor and manage outbreaks and assist in controlling and preventing the spread of COVID by identifying individuals with certain characteristics that will be vulnerable to adverse outcomes as a result of COVID and target services/interventions appropriately to control and prevent the spread of COVID. (This is not the same as risk stratification in general practice that is most commonly used for stratifying the risk of unplanned admission to acute care)
The outputs of Dashboard 4 may also be used for Direct Care Purposes.
The 9 CCGs involved in this agreement also have a an existing agreement for commissioning purposes (NIC-140059)
Expected output
COVID National & Sitrep
This report shows COVID cases, mortality and admissions. It compares trends
over time and compares rates by different geographies and providers.
COVID Out of Hospital Capacity & Demand
This report shows capacity and demand for hospital, ready for discharge,
care homes, domiciliary care, mental health and community providers.
COVID Testing Report
This report shows numbers, rates, positivity rates of those testing positive.
Also homes, schools and organisations that have had an outbreak against
The national definitions.
COVID in Hospital Demand Prediction Tool (Manchester Model)
This report provides predicting short term, in hospital COVID bed occupancy
split by core and ICU beds.
Enhanced case Finder
This report enables the ability to identify vulnerable cohorts of the
population including those advised to shield, with the functionality to drill
down to identify patients for targeting of direct care.
COVID Epidemiology
This report shows stratified cases, suspected cases, mortality and people
receiving tests by characteristics including age, condition, deprivation and BAME,
and over time.
Benefits reported
Yielded Benefits is not a requirement for new applications.
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.
-
July 2021 —
already listed in the earliest edition this site holds, so it may be older. 2 versions: DARS-NIC-396095-H1P1D-v0.2, DARS-NIC-396095-H1P1D-v1.2
-
January 2022
1 version added: DARS-NIC-396095-H1P1D-v2.2
-
October 2022
Succeeded Applicant organisation: NHS Liverpool CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Cheshire CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Halton CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Knowsley CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Liverpool CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS South Sefton CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Southport and Formby CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS St Helens CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Warrington CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Wirral CCG succeeded by NHS Cheshire and Merseyside ICB from 1 July 2022, according to NHS ODS. Not counted as a change.
-
November 2024
1 version added: DARS-NIC-396095-H1P1D-v3.6
-
December 2025
1 version added: DARS-NIC-396095-H1P1D-v4.5
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-396095-H1P1D, “DSfC - CIPHA - CV19”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-396095-h1p1d/ (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-396095-H1P1D to see the original rows.