Standard Extract Subscription - Extension and Renewal
Methods Analytics Ltd · Supplier
Expired The latest version ended on 1 February 2023. The September 2026 register still lists the agreement, but its term has passed.
- Reference
- DARS-NIC-09519-D5G0R
- Latest version
- v17.2
- Term of latest version
- 2 February 2022 to 1 February 2023
- Start date
- Before 5 December 2019
- Data controller
- Sole Data Controller
- Commercial purposes
- Yes
- Sublicensing
- No
- Files released to date
- 401
Why the data was released
Objective for processing
Methods Analytics Ltd (“Methods”) is a company which uses data to help inform people and organisations so they can improve their performance. NHS Digital datasets have been used to inform Methods' work since 2009, initially as an NHS Organisation, subsequently working with the NHS and other partners since 2012 as a commercial organisation.
Data is processed to support the NHS either directly through the delivery of tools and bespoke analysis to an NHS user or indirectly, where analytics are provided to the NHS as the end beneficiary via a non-NHS organisation.
Methods require national patient event level data. The purpose is for data to be used to help inform improvement in NHS services. The effect of using these data, analysed securely and then provided to NHS decision makers and providers to the NHS in Methods' tools helps decision makers visualise and understand what changes they need to make to their organisations and services to enhance the quality, safety and efficiency of health and care.
The lawful basis for processing is covered under GDPR Article 6 Section 1 (F) – (“Processing is necessary for the purpose of the legitimate interests pursued by the controller or by a third party, except where such interests or fundamental rights and freedoms of the data subject which require protection of personal data , in particular where the subject is a child”) and Article 9 Section 2 (j). (“Processing is necessary for achieving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject”).
The legitimate interest being pursued by Methods is the business of processing data to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non NHS organisations (where analytics are provided to the NHS as the end beneficiary via a non NHS organization). This requirement is met as it is necessary to use these data in undertaking analysis and producing the outputs of analysis to identify good and bad practice, pathways and performance, to enable improvement in performance within the NHS.
The processing is proportionate to that purpose in that national healthcare data is needed in order to undertake benchmarking, demonstrate variation and allow comparison to inform improvement. Further suppression and aggregation is applied to ensure a national data picture, without unnecessary data or risk of identifying any individual person.
Data provided by NHS Digital is pseudonymised prior to dissemination to Methods.
This work is used to support national and local service improvement, policy and regulatory recommendations and peer reviewed scientific articles, contributing to improvement in quality, safety and efficiency of health and care. Without these data there is no other way to achieve the same outcome. It is in the public interest that NHS organisations, directly and through Method’s partners, should use the processed data to enable them to further improve the services they offer to the local and national public.
Clients of Methods require analysis of national data to undertake benchmarking and enable understanding of variation in care and outcomes of care. Through constant review of processes, alongside the additional training and education of the team, Methods are constantly aware of the responsibility of working with the data and continuously work to improve data quality by identifying any issues to NHS Digital. Data asset minimisation and control of the risk of function creep is at the forefront of this work. The datasets requested going forward have been reviewed and significantly reduced to Hospital Episode Statistics (APC and OP), ECDS, Civil Registration Mortality, and Secondary Uses Service Payment by Results Episodes data only, reflecting the change in work Methods are asked to undertake.
Methods require 6 full years of data to enable time series analysis. For example, in calculating Standardised Hospital Mortality (SHMI), presenting a time series of 36 months requires a model developed on the prior 36 months, so 6 full years in total.
Much of the analyses are at a national level, and where they are at a regional or local level, clients commonly require analysis of national data to be able to consider their outcomes and performance in context of benchmarking to enable the understanding of variation in care and outcomes of care. For example, the NHS England/Improvement Getting it Right First Time Programme (GIRFT) national reports require analysis at a national level. GIRFT data packs require analysis at trust or site level, but benchmarking against all other providers in England.
Methods Analytics is the sole Data Controller for data shared under this Data Sharing Agreement.
The data will be used to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non-NHS organisations, where the NHS is the end beneficiary. The organisations who would be considered as supporting the NHS directly are:
• Department of Health and other central government departments (e.g., Ministry of Defence to support Defence Medical Services)
• Care Quality Commission
• Monitor
• NHS Improvement
• NHS England
• NHSX
• NICE
• CCGs
• CSUs
• ICS/STPs (Only NHS bodies can be considered to support the NHS Directly)
• Local Authorities (for Public Health purposes only)
• Providers of NHS-funded care
• Professional bodies supporting the NHS (e.g., Association of General Surgeons of Great Britain and Ireland, Royal College of Surgeons of England)
Organisations who support the NHS indirectly include commercial, charitable, academic and other forms of body working within the health and care space. Analysis is provided to these organisations solely for the purpose of delivering benefit to NHS organisations and/or the public. Methods' target audience is NHS organisations, however the NHS is increasingly looking to industry to support it in the provision of evidence and implementation support for service improvement, and hence Methods offers the tools and services to non-NHS organisations based on their agreeing to license terms and conditions, which include submitting and evidencing training in information governance and the restriction of the use of the tool to the uses outlined in this document, with this purpose statement flowed down as a contract schedule. For clarity, the schedule will include the following:
• Only aggregated small number suppressed data may be used from the tool.
• No data is to be used for direct marketing to individuals or organisations.
• No data is to be used for direct sales activities
There are three objectives of processing.
1) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
2) The NHS England/Improvement Getting it Right First Time Programme (GIRFT). Methods Analytics supports GIRFT with a range of bespoke analytical products. This includes provider level data packs focused on an individual specialty. These are required to be provided to GIRFT with low numbers present, anonymised. Methods Analytics also undertakes analytics for GIRFT relating to National reports and additional bespoke research and analysis using NHS Digital data, all suppressed and anonymized in line with the HES analysis guide.
All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS England/Improvement GIRFT programme, where the Data Controller is required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by the Data Controller and shared securely with the GIRFT programme.
All users working on the GIRFT program (and any organisation receiving a report as outlined below), where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not seek to re-identify any individual from that data.
Reports containing unsuppressed data may only be shared by NHSE/I with :
a. individual organisations to whom the data relates, and/or
b. with other network members (with the agreement of the individual organisation to whom the data relates), and/or
c. within NHSE/I in order to achieve the benefits outlined within the GIRFT programme (whilst NHSE and NHSI have an active data sharing agreement with NHS Digital covering the source data, this is under agreement DARS-NIC-15814-C6W9R).
3) SWORD™ is a programme for a number of the specialist surgical societies (which are registered charities) providing an intelligence tool for only their Consultant Surgeons members. The SWORD™ Consultant view provides access to measures and metrics about their own performance, to inform reflective practice, service improvement and appraisal.
SWORD™ pathway view͛ demonstrates at an organisation-level comparative data for individual surgical pathways, such as cholecystectomy, groin hernia etc. with the ability to filter and investigate how behaviour varies for groups of patients (grouped by a common theme eg: treatment pathway, not by identifiers).
Processing activities
General Requirements & Restrictions:
• Data is processed solely by Methods, and all data processing is carried out by substantive employees who have been trained in data protection and confidentiality.
• Once data is received from NHS Digital, no re-identification is performed and no data linkage with other non-NHS Digital data-sets is carried out.
• With the exception of Purpose 2 (GIRFT) and purpose 3 (SWORD), all outputs visible to 3rd parties are anonymised, aggregated and low numbers suppressed according to the rules specified in the HES Analysis Guide. Outputs for the NHS Improvement GIRFT programme and authorised users of SWORD are anonymised and aggregated but may have low numbers unsuppressed according to the restrictions described later in the Processing for Online Tools section.
Security and Hosting Arrangements:
• NHS Digital data-sets are stored in Redcentric Storage Locations. One Data Centre is where the data is received, loaded and processed and stored and made accessible to authorised employees of Methods Analytics. The other Data Centre is used solely for the storage of backups. Both storage locations are owned by Redcentric Ltd, but Methods own the data servers. Further references to the main processing location, will be abbreviated to Redcentric Data-centre.
• All Storage used for source files, databases and outputs is encrypted. Backup files stored in the Redcentric Back-up Data Centre are encrypted. Transmission of data files between NHS Digital and Redcentric, as well as transmission of backup files between the main and the back-up data centres is encrypted.
• Access to data in Redcentric is restricted to authorised substantive employees of Methods governed by secure access controls. An approvals based request policy is employed before access is granted. Administrators require additional senior level approvals for access.
• All access to Redcentric is done through a 2-factor authenticated and encrypted VPN. Users can only process the data remotely through the use of Remote Desktop Application infrastructure. Therefore there is no need for data to be transmitted between Redcentric and the user’s computer.
• Computers connecting to Redcentric for remote access use encrypted storage, are recorded on a central asset register, and are configured to receive automatic security updates.
• Security testing in the form of infrastructure penetration testing is carried out on a regular basis. Access to the data is continuously audited and regularly monitored.
Processing on receipt of data:
• Pseudonymised data is transferred directly from NHS Digital to Redcentric using NHS Digital’s Secure Electronic File Transfer (SEFT) facility and this is only utilised by Methods employees who have authorised named SEFT accounts.
• Authorised Data Admin staff load the source data files in to secured databases where a number of data quality checks are performed and data derivations are carried out (such as patient spell generation).
• Source data files are stored in folders which are restricted to authorised administrator staff only. The databases have access controls to ensure that the data is only available to staff who have had access granted through an approvals based process.
Processing for Reports/Studies/Analysis (Purpose 1) and NHS GIRFT (Purpose 2)
• Up to 6 full years (and year-to-date) of data is available for the processing for bespoke reports, studies and analyses. Typically this allows a 36 month time series based on data which is statistically modelled from 36 months of data (e.g. the Standardised Hospital-level Mortality Indicator or SHMI).
• All processing of the data is carried out within Redcentric by authorised users.
• All access to the databases containing the data is audited.
• Outputs must be anonymised, aggregated and small numbers suppressed according to the guidance of the HES Analysis guide before they can be exported from Redcentric other than where unsuppressed data is required by the NHS GIRFT programme as outlined in the objectives for processing. . Where GIRFT does require data containing small numbers Methods contractually define the specific use case for the data, require data management assurances such as encryption and access controls and require provision of assurance of destruction upon completion of the defined use-case using a defined data destruction process and certification.
• The ability to export data from Redcentric is limited to a small number of authorised staff.
Processing for Online Tools (Purposes 3)
SWORD (Purpose 3):
• Up to 6 full years (and year-to-date) of data is used for the processing of metrics within the SWORD tool.
• Processing of SWORD involves calculation of a number of metrics, and then producing aggregated, anonymised, unsuppressed data which is copied to a reporting server hosted within Redcentric.
• SWORD outputs are provided to authorised consultant surgeons and may contain unsuppressed low values in the following two scenarios only:
1. Consultant View – only data for the named consultant user is visible. The surgical association’s individual consultants may see their own activity and outcomes without suppression, and national mean data to enable local discussion amongst surgeons of low volume activity and outcomes;
2. Pathway View – this is only available to active consultant surgeons and they can only view pathways developed with and for their specialty association. Suppression is not undertaken because it compromises the quality and accuracy of data, meaning too much data is missing to form a complete and accurate picture of what is going on clinically for patients on these pathways and significantly reduces the value of tool to the surgical community.
These views are available to every consultant with login access to the tool.
• Any other use of data requires low number suppression to be applied in accordance with the HES Analysis Guide.
• Only consultant surgeon members of the associations can access the SWORD tool. Access is further restricted so that surgeons can only access pathways developed with and for their specialist association and not those pertaining to other specialties.
• This is further secured by the request for access being generated by the association and sent to Methods, with Consultant name, GMC number and nhs.net email address that is used for communication with the individual. Methods creates an account for that consultant with access granted only to pathways developed with and for the requesting association.
• All users of the SWORD tool (who are all consultant surgeon members of specialist surgical societies), where unsuppressed small numbers data may be visible, are required to sign terms of use which state that they must not:
1. Onwardly share any data with small numbers within;
2. Seek to re-identify any individual from that data.
Archiving and Data Sanitisation
• Data which is no longer required to be stored at Redcentric is securely deleted in accordance to NHS Digital Guidance. Backups have retention policies in place to ensure data is not held any longer than is necessary. For example, once data is deleted from a database, it will be retained in a backup for no longer than one month.
• Data is securely deleted in the following scenarios:
1. When the first month of a new financial year is loaded, the oldest financial year is deleted so ensure that at most 6 years plus year-to-date is stored;
2. On receipt of a data destruction notice from NHS Digital. In this case, the backup data would be deleted at the same time rather than rely on the retention mechanism;
3. On decommissioning of any infrastructure / storage.
• All storage drives are encrypted with the encryption keys held separately; this renders any storage drive unreadable should it fail and need to be replaced.
All organisations party to this agreement must 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).
Expected output
1 Bespoke analysis
• Bespoke analysis outputs are quite variable as the specific output is dependent on the requirement and use case. A range of output types are produced:
o Data tables
o Charts, graphs and other data visualisations
o Mapping with data overlays such as heat maps
• Outputs can be standalone or embedded in comprehensive reports either produced solely by Methods or as part of a wider product produced by clients and partners.
• Outputs can be static PDF documents or presentations or online interactive tools and solutions. These may be public or private.
• All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS Improvement GIRFT programme, where Methods are required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by Methods and shared securely with the GIRFT program.
o All users working on the GIRFT program, where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not :-
Onwardly share any data with small numbers within
Seek to re-identify any individual from that data.
Methods are continuing to use the data for this purpose, focused reporting for NHS and other clients as described, as well as academic research.
Examples of recent papers where Methods have used NHS Digital data assets include:
- Forecasting the Requirement for Nonelective Hospital Beds in the National Health Service of the United Kingdom: Model Development Study. Shah, K., Sharma, A., Moulton, C., Swift, S., Mann, C., & Jones, S. (2021). JMIR Medical Informatics, 9(9), e21990. https://doi.org/10.2196/21990
- Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England. Simon Jones,PhD, Neil Mason, ACC, Tom Palser, DM, FRCS, Simon Swift, MRCS, MSc, Christopher M Petrilli, MD, Leora I Horwitz, MD, MHS. DOI: 10.12788/jhm.3599. J Hosp Med. May. 2021, Volume 16, Issue Number 5
A further paper modelling the impact of A&E waits across England on all-cause mortality is currently accepted for publication but has not yet been published.
2 NHS GIRFT programme
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for national reports and ad hoc reporting requirements. To date Methods Analytics Ltd have supported over twelve specialty data packs and their associated national reports, those that have progressed to publication are available here: https://www.gettingitrightfirsttime.co.uk/girft-reports/. One of the ad hoc reports Methods Analytics Ltd developed was an internal impact assessment of the programme to date which demonstrated savings to the NHS in excess of £1bn. As previously explained, Methods are not stating that this value is directly derived from Methods' work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
3 SWORD
• The SWORD programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
o The consultant view presents the individual with information about their activity and outcomes, with standard metrics such as counts, readmission rates, length of stay and bespoke metrics for specific pathways. This is benchmarked against their organisation and the national cohort.
o The pathway view presents the same data but at an organisation level such that the user can compare their organisations performance against the rest of the country.
• SWORD data is used in a number of ways:
o To enable individual reflection and change in practice
o To support appraisal and revalidation
o To enable unit review of performance and service improvement
o As the input to original research and publication of scientific papers in peer reviewed journals and conference presentations.
• SWORD contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
The SWORD tool has been re-commissioned again for 2021/22 (contract years begin and end in Autumn) by a number of Surgical Specialist Associations and is provided to their members to understand the outcomes they as individual surgeons achieve, compared to their peers as input into reflective practice and revalidation. This is regularly used with hundreds of downloads a year of summary information for revalidation portfolios.
Expected measurable benefits
Across all three Purposes the legitimate interest for processing under Article 6 section 1 (F) and Article Section 2 (J), have through the benefits delivered below ensured that it is in the public interest to ensure Healthcare providers in the United Kingdom obtain data to help inform them and help make the decisions they need to make for their organisations.
1 Bespoke analysis
Methods Analytics undertakes a range of projects for NHS bodies and other bodies supporting the NHS. A real-life example is a review of urgent care within an NHS Trust: Methods used HES data to build a picture of issues around urgent care including where patients are flowing from, how referral patterns are changing over time and conversion rates that was used by the organisation to initiate a transformation programme and improve urgent care timeliness and outcomes. Similar projects focusing on mortality have resulted in large and lasting reductions in hospital mortality. Projects include a large amount of clinical engagement to ensure that data in the reports is used in the best way possible to make changes to services that benefit patients in any organisation working with Methods Analytics. The Analytics team includes clinicians and consultants to provide the right expertise when discussing any insight with Methods’ NHS clients.
• Methods has been commissioned by NHS Improvement and individual NHS organisations to undertake bespoke analysis to inform understanding of specific areas of care, using data and clinical interpretation to understand how these pathways or processes of care are delivered in order to enable service improvement.
2 NHS GIRFT programme
• Methods works with the NHS Improvement GIRFT programme, generating reports across many specialty areas under Lord Carters NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. Each provider receives a post visit report with recommendations and actions based on the data rich discussion at the clinical lead visit.
• Methods has also supported the development and publication of GIRFT national reports
(http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of potential savings have been identified, with specific recommendations supporting the delivery of each savings opportunity.
3 SWORD
• SWORD is a tool developed with ALS (Association of Laparoscopic Surgeons), AUGIS (Association of Upper Gastrointestinal Surgeons), ACPGBI (Association of Coloproctology of Great Britain and Ireland), and BAPS (British Association of Paediatric Surgeons) to provide to their consultant surgeon members detailed, clinically-validated metrics that report activity, quality, and outcomes for surgical pathways. By allowing surgeons to see how their quality of outcomes varies from other surgeons performing the same operations they can work to improve the levels of care they are able to offer and improve the safety for patients they are operating on.
• Surgeons can also use the data for revalidation purposes therefore supporting patient safety by providing evidence a surgeon is up-to-date and fit-for-practice.
• SWORD program data is also used by Methods and other users to understand areas of surgical practice formally, with peer-reviewed journal articles being created from the platform. To date these are listed below with a further three currently either submitted or being drafted:
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988770/
• https://www.ncbi.nlm.nih.gov/pubmed/29383826
• https://www.ncbi.nlm.nih.gov/pubmed/28792589
• https://www.ncbi.nlm.nih.gov/pubmed/29368285
• https://pubmed.ncbi.nlm.nih.gov/31388639/
Benefits reported so far
Methods has worked with a large NHS Trust to model patient flow, where Methods used SUS data to demonstrate the impact of changes to internal pathways and processes and benchmark this against other organisations. This enabled the Trust to refine its plans and improve flow and capacity. The improved flow improved patients experience of care by reducing the end to end duration of their hospital care.
Methods works with the NHS England and Improvement GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme, which is a review of efficiency in hospitals on how large savings can be made by the NHS. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity. The GIRFT programme uses this analysis to identify changes that will help improve care and patient outcomes as well as delivering efficiencies across the NHS.
Methods Supported the GIRFT programme through a review of actual savings to date, that was used in developing their business case for further funding. Methods has produced programme updates for the GIRFT team, using HES and SUS analysis to demonstrate the impact the GIRFT programme has had across the NHS and supporting policy development. A recent project undertaking an assessment of the impact of the programme to date identified over £1bn of savings in the NHS.
Methods are not stating that this value is directly derived from the work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
Methods used NHS Digital data assets supporting a set of CCGs that are forming into an Integrated Care System (ICS) in the process of transferring services from acute to community providers in their locality. The data was used to understand quality and performance of the services locally and benchmark these against similar services elsewhere in the NHS in England, to inform discussion and judgement on quality risks related to the transfer of services. This informed clinical senate review of the service transfers.
Methods have published a number of original scientific journal articles using NHS Digital data assets. The benefits yielded to the NHS from these publications are difficult to measure, though the intent and context is service and quality improvement.
Datasets on the latest version
Legal basis for provision: Health and Social Care Act 2012 - s261 - 'Other dissemination of information'
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Civil Registrations of Death - Secondary Care Cut | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Diagnostic Imaging Data Set (DID) | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Emergency Care Data Set (ECDS) | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| HES-ID to MPS-ID HES Accident and Emergency | Anonymised - ICO Code Compliant | Non-Sensitive | One-Off | Does not include the flow of confidential data |
| HES-ID to MPS-ID HES Admitted Patient Care | Anonymised - ICO Code Compliant | Non-Sensitive | One-Off | Does not include the flow of confidential data |
| HES-ID to MPS-ID HES Outpatients | Anonymised - ICO Code Compliant | Non-Sensitive | One-Off | Does not include the flow of confidential data |
| HES:Civil Registration (Deaths) bridge | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Hospital Episode Statistics Accident and Emergency (HES A and E) | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Hospital Episode Statistics Critical Care (HES Critical Care) | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Hospital Episode Statistics Outpatients (HES OP) | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Mental Health and Learning Disabilities Data Set (MHLDDS) | Anonymised - ICO Code Compliant | Sensitive | One-Off | Does not include the flow of confidential data |
| Mental Health Services Data Set (MHSDS) | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Secondary Uses Service Payment By Results Accident & Emergency | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Secondary Uses Service Payment By Results Episodes | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
| Secondary Uses Service Payment By Results Outpatients | Anonymised - ICO Code Compliant | Non-Sensitive | Ongoing | Does not include the flow of confidential data |
| Secondary Uses Service Payment By Results Spells | Anonymised - ICO Code Compliant | Sensitive | Ongoing | Does not include the flow of confidential data |
Files released
Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.
Patient opt-outs were not applied to any of the 401 files released under this agreement, across every version. About opt-outs
Files released against version 17.2 of this agreement, summarised by dataset.
| Dataset | Files | First released | Last released | Opt-outs applied |
|---|---|---|---|---|
| Emergency Care Data Set (ECDS) | 5 | March 2022 | December 2022 | No |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | 5 | March 2022 | December 2022 | No |
| Hospital Episode Statistics Outpatients (HES OP) | 5 | March 2022 | December 2022 | No |
| Civil Registrations of Death - Secondary Care Cut | 4 | March 2022 | December 2022 | No |
| HES:Civil Registration (Deaths) bridge | 4 | March 2022 | December 2022 | No |
| Secondary Uses Service Payment By Results Episodes | 4 | March 2022 | June 2022 | No |
Version history
The register lists each renewal of this agreement as a separate row. This site has 5 versions — earlier versions existed before this site's records begin.
DARS-NIC-09519-D5G0R-v17.2 2 February 2022 to 1 February 2023
- Title
- Standard Extract Subscription - Extension and Renewal
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 19
- Files released
- 27
Datasets: Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset; Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set; Civil Registrations of Death - Secondary Care Cut; Diagnostic Imaging Data Set (DID); Emergency Care Data Set (ECDS); HES-ID to MPS-ID HES Accident and Emergency; HES-ID to MPS-ID HES Admitted Patient Care; HES-ID to MPS-ID HES Outpatients; HES:Civil Registration (Deaths) bridge; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Services Data Set (MHSDS); Secondary Uses Service Payment By Results Accident & Emergency; Secondary Uses Service Payment By Results Episodes; Secondary Uses Service Payment By Results Outpatients; Secondary Uses Service Payment By Results Spells
What changed from DARS-NIC-09519-D5G0R-v16.5
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Standard Extract Subscription - Extension and Renewal | |
| Start date | 2022-02-02 | |
| End date | 2023-02-01 |
Objective for processing
[8 paragraphs unchanged]
Clients of Methods require analysis of national data to undertake benchmarking and
[74 words unchanged]
been reviewed and significantly reduced to Hospital Episode Statistics (APC and OP),
ECDS
ECDS, Civil Registration Mortality,
and
ONS Mortality
Secondary Uses Service Payment by Results Episodes
data only, reflecting the change in work Methods are asked to undertake.
[1 paragraph unchanged]
Much of the analyses are at a national level, and where they
[29 words unchanged]
the understanding of variation in care and outcomes of care. For example,
GIRFT
the NHS England/Improvement Getting it Right First Time Programme (GIRFT)
national reports require analysis at a national level. GIRFT data packs require analysis at trust or site level, but benchmarking against all other providers in England.
[21 paragraphs unchanged]
2) The NHS
Improvement
England/Improvement
Getting it Right First Time Programme (GIRFT). Methods Analytics supports GIRFT with
[50 words unchanged]
data, all suppressed and anonymized in line with the HES analysis guide.
[8 paragraphs unchanged]
Processing activities
[5 paragraphs unchanged]
• NHS Digital data-sets are stored in Redcentric Storage Locations. One Data
[28 words unchanged]
for the storage of backups. Both storage locations are owned by Redcentric
Ltd.
Ltd, but Methods own the data servers.
Further references to the main processing location, will be abbreviated to Redcentric Data-centre.
[13 paragraphs unchanged]
• Outputs must be anonymised, aggregated and small numbers suppressed according to
[21 words unchanged]
by the NHS GIRFT programme as outlined in the objectives for processing.
. Where GIRFT does require data containing small numbers Methods contractually define the specific use case for the data, require data management assurances such as encryption and access controls and require provision of assurance of destruction upon completion of the defined use-case using a defined data destruction process and certification.
[8 paragraphs unchanged]
These views are available to every consultant with login access to the tool.
[14 paragraphs unchanged]
Expected output
[17 paragraphs unchanged]
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for
[66 words unchanged]
explained, Methods are not stating that this value is directly derived from
our
Methods'
work; Methods have worked on a subset of GIRFT workstreams and the
[94 words unchanged]
£1bn of savings to the NHS. This does not include projected savings.
[10 paragraphs unchanged]
The SWORD tool has been re-commissioned again for 2021/22
(contract years begin and end in Autumn)
by a number of Surgical Specialist Associations and is provided to their
[25 words unchanged]
with hundreds of downloads a year of summary information for revalidation portfolios.
Expected measurable benefits
[6 paragraphs unchanged]
• Methods has produced programme updates for the GIRFT team, using HES and SUS analysis to demonstrate the impact the GIRFT programme has had across the NHS and supporting policy development. A recent project undertaking an assessment of the impact of the programme to date identified over £1bn of savings in the NHS.
Methods are not stating that this value is directly derived from the work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
[11 paragraphs unchanged]
Benefits reported
[1 paragraph unchanged]
Methods works with the
DH
NHS England and Improvement
GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency
programme.
programme, which is a review of efficiency in hospitals on how large savings can be made by the NHS.
These detailed data rich reports are shaped by national lead clinicians for
[21 words unchanged]
quality and efficiency of care. This programme is currently being rolled out.
[1 paragraph unchanged]
Methods Supported the GIRFT programme through a review of actual savings to date, that was used in developing their business case for further funding.
Methods has produced programme updates for the GIRFT team, using HES and SUS analysis to demonstrate the impact the GIRFT programme has had across the NHS and supporting policy development. A recent project undertaking an assessment of the impact of the programme to date identified over £1bn of savings in the NHS.
Methods are not stating that this value is directly derived from the work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
[2 paragraphs unchanged]
DARS-NIC-09519-D5G0R-v16.5 5 December 2021 to 7 January 2022
- Title
- Standard Extract Subscription - Amendment to data assets requested and section 5
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 19
- Files released
- 7
Datasets: Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset; Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set; Civil Registrations of Death - Secondary Care Cut; Diagnostic Imaging Data Set (DID); Emergency Care Data Set (ECDS); HES-ID to MPS-ID HES Accident and Emergency; HES-ID to MPS-ID HES Admitted Patient Care; HES-ID to MPS-ID HES Outpatients; HES:Civil Registration (Deaths) bridge; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Services Data Set (MHSDS); Secondary Uses Service Payment By Results Accident & Emergency; Secondary Uses Service Payment By Results Episodes; Secondary Uses Service Payment By Results Outpatients; Secondary Uses Service Payment By Results Spells
What changed from DARS-NIC-09519-D5G0R-v15.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Standard Extract Subscription - Amendment to data assets requested and section 5 | |
| Start date | 2021-12-05 | |
| End date | 2022-01-07 | |
| Secondary Uses Service Payment By Results Outpatients: sensitivity | Non-Sensitive |
Objective for processing
[2 paragraphs unchanged]
Methods require national patient event level data.
The
aim
purpose
is for data to be used to help inform improvement in NHS
[40 words unchanged]
services to enhance the quality, safety and efficiency of health and care.
[5 paragraphs unchanged]
Clients of Methods require analysis of national data to undertake benchmarking and
[56 words unchanged]
the risk of function creep is at the forefront of this work.
The datasets requested going forward have been reviewed and significantly reduced to Hospital Episode Statistics (APC and OP), ECDS and ONS Mortality data only, reflecting the change in work Methods are asked to undertake.
Methods require 6 full years of data to enable time series analysis. For example, in calculating Standardised Hospital Mortality (SHMI), presenting a time series of 36 months requires a model developed on the prior 36 months, so 6 full years in total.
Much of the analyses are at a national level, and where they are at a regional or local level, clients commonly require analysis of national data to be able to consider their outcomes and performance in context of benchmarking to enable the understanding of variation in care and outcomes of care. For example, GIRFT national reports require analysis at a national level. GIRFT data packs require analysis at trust or site level, but benchmarking against all other providers in England.
[2 paragraphs unchanged]
• Department of Health
• Department of Health and other central government departments (e.g., Ministry of Defence to support Defence Medical Services)
[11 paragraphs unchanged]
• Professional bodies supporting the NHS
(e.g. the British Medical
(e.g.,
Association
or the
of General Surgeons of Great Britain and Ireland,
Royal College of
General Practitioners)
Surgeons of England)
[15 paragraphs unchanged]
Expected output
[11 paragraphs unchanged]
Methods are continuing to use the data for this purpose, focused reporting for NHS and other clients as described, as well as academic research.
Methods have a number of articles looking at urgent care particularly in late stage negotiations with journals and are due for publication shortly.
An example of a recent paper is published in the Journal of Hospital Medicine: Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England, which used HES and linked civil deaths registration data, available here: https://lnkd.in/dmgnFzz.
Examples of recent papers where Methods have used NHS Digital data assets include:
- Forecasting the Requirement for Nonelective Hospital Beds in the National Health Service of the United Kingdom: Model Development Study. Shah, K., Sharma, A., Moulton, C., Swift, S., Mann, C., & Jones, S. (2021). JMIR Medical Informatics, 9(9), e21990. https://doi.org/10.2196/21990
- Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England. Simon Jones,PhD, Neil Mason, ACC, Tom Palser, DM, FRCS, Simon Swift, MRCS, MSc, Christopher M Petrilli, MD, Leora I Horwitz, MD, MHS. DOI: 10.12788/jhm.3599. J Hosp Med. May. 2021, Volume 16, Issue Number 5
A further paper modelling the impact of A&E waits across England on all-cause mortality is currently accepted for publication but has not yet been published.
[1 paragraph unchanged]
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for
[52 words unchanged]
to date which demonstrated savings to the NHS in excess of £1bn.
As previously explained, Methods are not stating that this value is directly derived from our work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
[11 paragraphs unchanged]
Expected measurable benefits
[7 paragraphs unchanged] Methods are not stating that this value is directly derived from the work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings. [10 paragraphs unchanged] • https://pubmed.ncbi.nlm.nih.gov/31388639/
Benefits reported
[3 paragraphs unchanged] Methods Supported the GIRFT programme through a review of actual savings to date, that was used in developing their business case for further funding. Methods used NHS Digital data assets supporting a set of CCGs that are forming into an Integrated Care System (ICS) in the process of transferring services from acute to community providers in their locality. The data was used to understand quality and performance of the services locally and benchmark these against similar services elsewhere in the NHS in England, to inform discussion and judgement on quality risks related to the transfer of services. This informed clinical senate review of the service transfers. Methods have published a number of original scientific journal articles using NHS Digital data assets. The benefits yielded to the NHS from these publications are difficult to measure, though the intent and context is service and quality improvement.
Unchanged: Processing activities.
Objective for processing
Methods Analytics Ltd (“Methods”) is a company which uses data to help inform people and organisations so they can improve their performance. NHS Digital datasets have been used to inform Methods' work since 2009, initially as an NHS Organisation, subsequently working with the NHS and other partners since 2012 as a commercial organisation.
Data is processed to support the NHS either directly through the delivery of tools and bespoke analysis to an NHS user or indirectly, where analytics are provided to the NHS as the end beneficiary via a non-NHS organisation.
Methods require national patient event level data. The purpose is for data to be used to help inform improvement in NHS services. The effect of using these data, analysed securely and then provided to NHS decision makers and providers to the NHS in Methods' tools helps decision makers visualise and understand what changes they need to make to their organisations and services to enhance the quality, safety and efficiency of health and care.
The lawful basis for processing is covered under GDPR Article 6 Section 1 (F) – (“Processing is necessary for the purpose of the legitimate interests pursued by the controller or by a third party, except where such interests or fundamental rights and freedoms of the data subject which require protection of personal data , in particular where the subject is a child”) and Article 9 Section 2 (j). (“Processing is necessary for achieving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject”).
The legitimate interest being pursued by Methods is the business of processing data to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non NHS organisations (where analytics are provided to the NHS as the end beneficiary via a non NHS organization). This requirement is met as it is necessary to use these data in undertaking analysis and producing the outputs of analysis to identify good and bad practice, pathways and performance, to enable improvement in performance within the NHS.
The processing is proportionate to that purpose in that national healthcare data is needed in order to undertake benchmarking, demonstrate variation and allow comparison to inform improvement. Further suppression and aggregation is applied to ensure a national data picture, without unnecessary data or risk of identifying any individual person.
Data provided by NHS Digital is pseudonymised prior to dissemination to Methods.
This work is used to support national and local service improvement, policy and regulatory recommendations and peer reviewed scientific articles, contributing to improvement in quality, safety and efficiency of health and care. Without these data there is no other way to achieve the same outcome. It is in the public interest that NHS organisations, directly and through Method’s partners, should use the processed data to enable them to further improve the services they offer to the local and national public.
Clients of Methods require analysis of national data to undertake benchmarking and enable understanding of variation in care and outcomes of care. Through constant review of processes, alongside the additional training and education of the team, Methods are constantly aware of the responsibility of working with the data and continuously work to improve data quality by identifying any issues to NHS Digital. Data asset minimisation and control of the risk of function creep is at the forefront of this work. The datasets requested going forward have been reviewed and significantly reduced to Hospital Episode Statistics (APC and OP), ECDS and ONS Mortality data only, reflecting the change in work Methods are asked to undertake.
Methods require 6 full years of data to enable time series analysis. For example, in calculating Standardised Hospital Mortality (SHMI), presenting a time series of 36 months requires a model developed on the prior 36 months, so 6 full years in total.
Much of the analyses are at a national level, and where they are at a regional or local level, clients commonly require analysis of national data to be able to consider their outcomes and performance in context of benchmarking to enable the understanding of variation in care and outcomes of care. For example, GIRFT national reports require analysis at a national level. GIRFT data packs require analysis at trust or site level, but benchmarking against all other providers in England.
Methods Analytics is the sole Data Controller for data shared under this Data Sharing Agreement.
The data will be used to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non-NHS organisations, where the NHS is the end beneficiary. The organisations who would be considered as supporting the NHS directly are:
• Department of Health and other central government departments (e.g., Ministry of Defence to support Defence Medical Services)
• Care Quality Commission
• Monitor
• NHS Improvement
• NHS England
• NHSX
• NICE
• CCGs
• CSUs
• ICS/STPs (Only NHS bodies can be considered to support the NHS Directly)
• Local Authorities (for Public Health purposes only)
• Providers of NHS-funded care
• Professional bodies supporting the NHS (e.g., Association of General Surgeons of Great Britain and Ireland, Royal College of Surgeons of England)
Organisations who support the NHS indirectly include commercial, charitable, academic and other forms of body working within the health and care space. Analysis is provided to these organisations solely for the purpose of delivering benefit to NHS organisations and/or the public. Methods' target audience is NHS organisations, however the NHS is increasingly looking to industry to support it in the provision of evidence and implementation support for service improvement, and hence Methods offers the tools and services to non-NHS organisations based on their agreeing to license terms and conditions, which include submitting and evidencing training in information governance and the restriction of the use of the tool to the uses outlined in this document, with this purpose statement flowed down as a contract schedule. For clarity, the schedule will include the following:
• Only aggregated small number suppressed data may be used from the tool.
• No data is to be used for direct marketing to individuals or organisations.
• No data is to be used for direct sales activities
There are three objectives of processing.
1) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
2) The NHS Improvement Getting it Right First Time Programme (GIRFT). Methods Analytics supports GIRFT with a range of bespoke analytical products. This includes provider level data packs focused on an individual specialty. These are required to be provided to GIRFT with low numbers present, anonymised. Methods Analytics also undertakes analytics for GIRFT relating to National reports and additional bespoke research and analysis using NHS Digital data, all suppressed and anonymized in line with the HES analysis guide.
All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS England/Improvement GIRFT programme, where the Data Controller is required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by the Data Controller and shared securely with the GIRFT programme.
All users working on the GIRFT program (and any organisation receiving a report as outlined below), where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not seek to re-identify any individual from that data.
Reports containing unsuppressed data may only be shared by NHSE/I with :
a. individual organisations to whom the data relates, and/or
b. with other network members (with the agreement of the individual organisation to whom the data relates), and/or
c. within NHSE/I in order to achieve the benefits outlined within the GIRFT programme (whilst NHSE and NHSI have an active data sharing agreement with NHS Digital covering the source data, this is under agreement DARS-NIC-15814-C6W9R).
3) SWORD™ is a programme for a number of the specialist surgical societies (which are registered charities) providing an intelligence tool for only their Consultant Surgeons members. The SWORD™ Consultant view provides access to measures and metrics about their own performance, to inform reflective practice, service improvement and appraisal.
SWORD™ pathway view͛ demonstrates at an organisation-level comparative data for individual surgical pathways, such as cholecystectomy, groin hernia etc. with the ability to filter and investigate how behaviour varies for groups of patients (grouped by a common theme eg: treatment pathway, not by identifiers).
Expected output
1 Bespoke analysis
• Bespoke analysis outputs are quite variable as the specific output is dependent on the requirement and use case. A range of output types are produced:
o Data tables
o Charts, graphs and other data visualisations
o Mapping with data overlays such as heat maps
• Outputs can be standalone or embedded in comprehensive reports either produced solely by Methods or as part of a wider product produced by clients and partners.
• Outputs can be static PDF documents or presentations or online interactive tools and solutions. These may be public or private.
• All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS Improvement GIRFT programme, where Methods are required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by Methods and shared securely with the GIRFT program.
o All users working on the GIRFT program, where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not :-
Onwardly share any data with small numbers within
Seek to re-identify any individual from that data.
Methods are continuing to use the data for this purpose, focused reporting for NHS and other clients as described, as well as academic research.
Examples of recent papers where Methods have used NHS Digital data assets include:
- Forecasting the Requirement for Nonelective Hospital Beds in the National Health Service of the United Kingdom: Model Development Study. Shah, K., Sharma, A., Moulton, C., Swift, S., Mann, C., & Jones, S. (2021). JMIR Medical Informatics, 9(9), e21990. https://doi.org/10.2196/21990
- Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England. Simon Jones,PhD, Neil Mason, ACC, Tom Palser, DM, FRCS, Simon Swift, MRCS, MSc, Christopher M Petrilli, MD, Leora I Horwitz, MD, MHS. DOI: 10.12788/jhm.3599. J Hosp Med. May. 2021, Volume 16, Issue Number 5
A further paper modelling the impact of A&E waits across England on all-cause mortality is currently accepted for publication but has not yet been published.
2 NHS GIRFT programme
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for national reports and ad hoc reporting requirements. To date Methods Analytics Ltd have supported over twelve specialty data packs and their associated national reports, those that have progressed to publication are available here: https://www.gettingitrightfirsttime.co.uk/girft-reports/. One of the ad hoc reports Methods Analytics Ltd developed was an internal impact assessment of the programme to date which demonstrated savings to the NHS in excess of £1bn. As previously explained, Methods are not stating that this value is directly derived from our work; Methods have worked on a subset of GIRFT workstreams and the analytical input into the program is only a part of the GIRFT methodology. It is not possible to quantify what proportion of the impact of the program is due to Methods' work; it is intrinsic to the GIRFT approach. This impact analysis looked at nine completed GIRFT workstreams, of which Methods Analytics supported the analytical effort in five. Methods were asked to undertake a data driven review of the program impact, and doing so using NHS Digital data, Methods were able to demonstrate that across England GIRFT had delivered, to date, in excess of £1bn of savings to the NHS. This does not include projected savings.
3 SWORD
• The SWORD programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
o The consultant view presents the individual with information about their activity and outcomes, with standard metrics such as counts, readmission rates, length of stay and bespoke metrics for specific pathways. This is benchmarked against their organisation and the national cohort.
o The pathway view presents the same data but at an organisation level such that the user can compare their organisations performance against the rest of the country.
• SWORD data is used in a number of ways:
o To enable individual reflection and change in practice
o To support appraisal and revalidation
o To enable unit review of performance and service improvement
o As the input to original research and publication of scientific papers in peer reviewed journals and conference presentations.
• SWORD contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
The SWORD tool has been re-commissioned again for 2021/22 by a number of Surgical Specialist Associations and is provided to their members to understand the outcomes they as individual surgeons achieve, compared to their peers as input into reflective practice and revalidation. This is regularly used with hundreds of downloads a year of summary information for revalidation portfolios.
Benefits reported
Methods has worked with a large NHS Trust to model patient flow, where Methods used SUS data to demonstrate the impact of changes to internal pathways and processes and benchmark this against other organisations. This enabled the Trust to refine its plans and improve flow and capacity. The improved flow improved patients experience of care by reducing the end to end duration of their hospital care.
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity. The GIRFT programme uses this analysis to identify changes that will help improve care and patient outcomes as well as delivering efficiencies across the NHS.
Methods Supported the GIRFT programme through a review of actual savings to date, that was used in developing their business case for further funding.
Methods used NHS Digital data assets supporting a set of CCGs that are forming into an Integrated Care System (ICS) in the process of transferring services from acute to community providers in their locality. The data was used to understand quality and performance of the services locally and benchmark these against similar services elsewhere in the NHS in England, to inform discussion and judgement on quality risks related to the transfer of services. This informed clinical senate review of the service transfers.
Methods have published a number of original scientific journal articles using NHS Digital data assets. The benefits yielded to the NHS from these publications are difficult to measure, though the intent and context is service and quality improvement.
DARS-NIC-09519-D5G0R-v15.2 29 March 2021 to 4 December 2021
- Title
- Standard Extract Subscription - Amendment to purpose section
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 19
- Files released
- 131
Datasets: Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset; Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set; Civil Registrations of Death - Secondary Care Cut; Diagnostic Imaging Data Set (DID); Emergency Care Data Set (ECDS); HES-ID to MPS-ID HES Accident and Emergency; HES-ID to MPS-ID HES Admitted Patient Care; HES-ID to MPS-ID HES Outpatients; HES:Civil Registration (Deaths) bridge; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Services Data Set (MHSDS); Secondary Uses Service Payment By Results Accident & Emergency; Secondary Uses Service Payment By Results Episodes; Secondary Uses Service Payment By Results Outpatients; Secondary Uses Service Payment By Results Spells
What changed from DARS-NIC-09519-D5G0R-v14.4
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Standard Extract Subscription - Amendment to purpose section | |
| Start date | 2021-03-29 |
Datasets: + HES-ID to MPS-ID HES Accident and Emergency; + HES-ID to MPS-ID HES Admitted Patient Care; + HES-ID to MPS-ID HES Outpatients
Objective for processing
Aim and Purpose of application
[3 paragraphs unchanged]
Legal Basis
[4 paragraphs unchanged]
Public Interest
[1 paragraph unchanged]
Data required and data management
[1 paragraph unchanged]
Who Methods work with
Methods Analytics is the sole Data Controller for data shared under this Data Sharing Agreement.
Methods Analytics is the data controller for data shared under this DSA.
[6 paragraphs unchanged]
• NHSX
[3 paragraphs unchanged]
• ICS/STPs (Only NHS bodies can be considered to support the NHS Directly)
[2 paragraphs unchanged]
• Professional bodies
• Professional bodies supporting the NHS (e.g. the British Medical Association or the Royal College of General Practitioners)
[5 paragraphs unchanged]
1) Stethoscope™ - a quality variation tool which provides local and national benchmarking of indicators derived from NHS Digital and other data, that is made available free to the public at an organisation roll-up level, and more granular information to subscribing organisations. Stethoscope™ is a complex analysis and visualisation platform that allows users to understand patterns in care provision, pathway and organisational performance and variation in these across the country. The aim is that users will be more able to understand the needs, demand, services and outcomes of care for the population they respond to and be able to make informed decisions to improve the efficiency and quality of care.
1) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
2) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
2) The NHS Improvement Getting it Right First Time Programme (GIRFT). Methods Analytics supports GIRFT with a range of bespoke analytical products. This includes provider level data packs focused on an individual specialty. These are required to be provided to GIRFT with low numbers present, anonymised. Methods Analytics also undertakes analytics for GIRFT relating to National reports and additional bespoke research and analysis using NHS Digital data, all suppressed and anonymized in line with the HES analysis guide.
All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS England/Improvement GIRFT programme, where the Data Controller is required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by the Data Controller and shared securely with the GIRFT programme.
All users working on the GIRFT program (and any organisation receiving a report as outlined below), where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not seek to re-identify any individual from that data.
Reports containing unsuppressed data may only be shared by NHSE/I with :
a. individual organisations to whom the data relates, and/or
b. with other network members (with the agreement of the individual organisation to whom the data relates), and/or
c. within NHSE/I in order to achieve the benefits outlined within the GIRFT programme (whilst NHSE and NHSI have an active data sharing agreement with NHS Digital covering the source data, this is under agreement DARS-NIC-15814-C6W9R).
[2 paragraphs unchanged]
Processing activities
[3 paragraphs unchanged]
• With the exception of Purpose
2 (GIRFT) and purpose
3 (SWORD), all outputs visible to 3rd parties are anonymised, aggregated and low numbers suppressed according to the rules specified in the HES Analysis Guide. Outputs for
the NHS Improvement GIRFT programme and
authorised users of SWORD are anonymised and aggregated but may have low numbers unsuppressed according to the restrictions described later in the Processing for Online Tools section.
[8 paragraphs unchanged]
•
Data
Pseudonymised data
is transferred directly from NHS Digital to Redcentric using NHS Digital’s Secure
[7 words unchanged]
is only utilised by Methods employees who have authorised named SEFT accounts.
[2 paragraphs unchanged]
Processing for Reports/Studies/Analysis (Purpose
1) and NHS GIRFT (Purpose
2)
[3 paragraphs unchanged]
• Outputs must be anonymised, aggregated and small numbers suppressed according to the guidance of the HES Analysis guide before they can be exported from
Redcentric.
Redcentric other than where unsuppressed data is required by the NHS GIRFT programme as outlined in the objectives for processing.
[1 paragraph unchanged]
Processing for Online Tools (Purposes
1 and
3)
Stethoscope (Purpose 1):
• Up to 6 full years (and year-to-date) of data is used for the processing of Stethoscope Indicators including the SHMI indicators which require the full 6 years in order to provide a 36 month time series.
• Processing for Stethoscope involves calculation of a number of indicators, and then outputting these in 2 ways:
1. Aggregated, anonymised and low number suppressed indicator data is generated and then exported outside of Redcentric to Method’s web servers in an Amazon Web Services data centre (within the EU Ireland Region). There is no direct link between the AWS hosted web server and the Redcentric data-centre.
2. Aggregated, anonymised, unsuppressed indicator is generated and then copied to reporting servers which are hosted within Redcentric. The reporting servers perform additional aggregation and processing, and then apply low number suppression before outputting the data to users.
• Suppression is performed in accordance with the HES Analysis Guide.
• The Stethoscope tool provides access controls to ensure access is limited to authorised users.
[20 paragraphs unchanged]
Expected output
1
Stethoscope™
Bespoke analysis
• The primary output is an online intelligence platform available to users containing over 500 benchmarked metrics on NHS activity. This is designed to be visually attractive to users but convey rich statistical intelligence.
• The platform includes domain dashboards, filtered views with users able to explore areas of interest and shape metric views to their requirements, users are able to create bespoke reports containing information relevant to them. Stethoscope™ contains alert reporting, algorithmically surfacing to users metrics and organisations that are outliers and might require consideration, for action.
• Views include graphs, maps and data tables representing national, peer group and regional organisations performance compared to each other for any metric or filtered metric.
• All Stethoscope output is suppressed as per NHS Digital disclosure rules and uses the sensitive consultant ID field to enable personal scorecard creation to inform reflective practice and appraisal.
2 Bespoke analysis
[3 paragraphs unchanged]
o Mapping with data overlays such as
heatmaps
heat maps
[6 paragraphs unchanged]
3 SWORD™
Methods are continuing to use the data for this purpose, focused reporting for NHS and other clients as described, as well as academic research. Methods have a number of articles looking at urgent care particularly in late stage negotiations with journals and are due for publication shortly.
• The SWORD™ programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
An example of a recent paper is published in the Journal of Hospital Medicine: Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England, which used HES and linked civil deaths registration data, available here: https://lnkd.in/dmgnFzz.
2 NHS GIRFT programme
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for national reports and ad hoc reporting requirements. To date Methods Analytics Ltd have supported over twelve specialty data packs and their associated national reports, those that have progressed to publication are available here: https://www.gettingitrightfirsttime.co.uk/girft-reports/. One of the ad hoc reports Methods Analytics Ltd developed was an internal impact assessment of the programme to date which demonstrated savings to the NHS in excess of £1bn.
3 SWORD
• The SWORD programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
[2 paragraphs unchanged]
•
SWORD™
SWORD
data is used in a number of ways:
[4 paragraphs unchanged]
•
SWORD™
SWORD
contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
The SWORD tool has been re-commissioned again for 2021/22 by a number of Surgical Specialist Associations and is provided to their members to understand the outcomes they as individual surgeons achieve, compared to their peers as input into reflective practice and revalidation. This is regularly used with hundreds of downloads a year of summary information for revalidation portfolios.
Expected measurable benefits
[2 paragraphs unchanged]
Methods Analytics undertakes a range of projects for NHS bodies and other
[32 words unchanged]
patients are flowing from, how referral patterns are changing over time and
conAcross all three Purposes
conversion rates that was used by
the
legitimate interest for processing under Article 6 section 1 (F)
organisation to initiate a transformation programme
and
Article Section 2 (J),
improve urgent care timeliness and outcomes. Similar projects focusing on mortality
have
through the benefits delivered below ensured
resulted in large and lasting reductions in hospital mortality. Projects include a large amount of clinical engagement to ensure
that
it is
data
in the
public interest to ensure Healthcare providers
reports is used
in the
United Kingdom obtain data to help inform them and help make the decisions they need
best way possible
to make
for their organisations.
changes to services that benefit patients in any organisation working with Methods Analytics. The Analytics team includes clinicians and consultants to provide the right expertise when discussing any insight with Methods’ NHS clients.
1 Stethoscope
• Methods has been commissioned by NHS Improvement and individual NHS organisations to undertake bespoke analysis to inform understanding of specific areas of care, using data and clinical interpretation to understand how these pathways or processes of care are delivered in order to enable service improvement.
• Stethoscope has significant usage across the NHS with over 600 enrolled users. The platform services hundreds of visits each month and users can download a free pdf report, with up to 1200 page views per day. The Stethoscope website was used as input for the Keogh mortality reviews and is visited by Monitor, CQC and NTDA among many others. Methods are aware that the downloadable pdf reports are used to inform Trust boards, having been asked for permission by Trust secretaries.
2 NHS GIRFT programme
• The Stethoscope platform supports a range of uses including supporting Method’s work with the GIRFT programme and providing information and insight to inform service improvement undertaken within organisations across the NHS, with outputs received by 50 NHS hospitals and CCGs.
• Users who choose to can receive automated standard and bespoke reports from the platform, with over 1200 disseminated each month.
• It is challenging to demonstrate impact from a platform such as this, though as an example of perceived benefit, board level users who on moving role to a new organisation have rapidly ensured their new organisation provides them with access to the platform. Similarly there has been an instance of an organisation that ended their access due to budgetary pressures returning and re-subscribing as the benefit they received was perceived as providing value to them.
• Users have identified areas of significant variation in national performance through the Stethoscope platform and contacted us to explore the area of interest in greater detail, resulting in a range of focused reports for users up to and including peer reviewed journal articles (as bespoke analysis):
• http://www.iaas-med.com/files/Journal/21.4/Swift_et_al.pdf
2 Bespoke analysis
[1 paragraph unchanged]
• Methods has produced programme updates for the GIRFT team, using HES and SUS analysis to demonstrate the
early
impact the GIRFT programme has had across the NHS and supporting policy
development, such as, realising
development. A recent project undertaking an assessment of the impact of the programme to date identified
over
£4m
£1bn
of
cashable saving and releasing over 50,000 bed days of surgical occupancy while improving
savings in
the
quality of care just in Orthopaedic Surgery.
NHS.
[2 paragraphs unchanged]
• A real-life example is a review of urgent care within an NHS Trust: Methods used HES data to build a picture of issues around urgent care including where patients are flowing from, how referral patterns are changing over time and conversion rates that was used by the organisation to initiate a transformation programme and improve urgent care timeliness and outcomes. Similar projects focusing on mortality have resulted in large and lasting reductions in hospital mortality. Projects include a large amount of clinical engagement to ensure that data in the reports is used in the best way possible to make changes to services that benefit patients in any organisation working with Methods Analytics. The Analytics team includes clinicians and consultants to provide the right expertise when discussing any insight with Methods’ NHS clients.
• Methods has been commissioned by NHS Improvement and individual NHS organisations to undertake bespoke analysis to inform understanding of specific areas of care, using data and clinical interpretation to understand how these pathways or processes of care are delivered in order to enable service improvement. At this time this is planned to lead to 5 peer reviewed journal article submissions.
[8 paragraphs unchanged]
Benefits reported
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out. Methods Analytics have produced programme updates for the GIRFT team, using HES analysis to demonstrate the estimated programme impact to date at over £1bn.
Methods has worked with a large NHS Trust to model patient flow, where Methods used SUS data to demonstrate the impact of changes to internal pathways and processes and benchmark this against other organisations. This enabled the Trust to refine its plans and improve flow and capacity. The improved flow improved patients experience of care by reducing the end to end duration of their hospital care.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity.
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity. The GIRFT programme uses this analysis to identify changes that will help improve care and patient outcomes as well as delivering efficiencies across the NHS.
Objective for processing
Methods Analytics Ltd (“Methods”) is a company which uses data to help inform people and organisations so they can improve their performance. NHS Digital datasets have been used to inform Methods' work since 2009, initially as an NHS Organisation, subsequently working with the NHS and other partners since 2012 as a commercial organisation.
Data is processed to support the NHS either directly through the delivery of tools and bespoke analysis to an NHS user or indirectly, where analytics are provided to the NHS as the end beneficiary via a non-NHS organisation.
The aim is for data to be used to help inform improvement in NHS services. The effect of using these data, analysed securely and then provided to NHS decision makers and providers to the NHS in Methods' tools helps decision makers visualise and understand what changes they need to make to their organisations and services to enhance the quality, safety and efficiency of health and care.
The lawful basis for processing is covered under GDPR Article 6 Section 1 (F) – (“Processing is necessary for the purpose of the legitimate interests pursued by the controller or by a third party, except where such interests or fundamental rights and freedoms of the data subject which require protection of personal data , in particular where the subject is a child”) and Article 9 Section 2 (j). (“Processing is necessary for achieving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject”).
The legitimate interest being pursued by Methods is the business of processing data to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non NHS organisations (where analytics are provided to the NHS as the end beneficiary via a non NHS organization). This requirement is met as it is necessary to use these data in undertaking analysis and producing the outputs of analysis to identify good and bad practice, pathways and performance, to enable improvement in performance within the NHS.
The processing is proportionate to that purpose in that national healthcare data is needed in order to undertake benchmarking, demonstrate variation and allow comparison to inform improvement. Further suppression and aggregation is applied to ensure a national data picture, without unnecessary data or risk of identifying any individual person.
Data provided by NHS Digital is pseudonymised prior to dissemination to Methods.
This work is used to support national and local service improvement, policy and regulatory recommendations and peer reviewed scientific articles, contributing to improvement in quality, safety and efficiency of health and care. Without these data there is no other way to achieve the same outcome. It is in the public interest that NHS organisations, directly and through Method’s partners, should use the processed data to enable them to further improve the services they offer to the local and national public.
Clients of Methods require analysis of national data to undertake benchmarking and enable understanding of variation in care and outcomes of care. Through constant review of processes, alongside the additional training and education of the team, Methods are constantly aware of the responsibility of working with the data and continuously work to improve data quality by identifying any issues to NHS Digital. Data asset minimisation and control of the risk of function creep is at the forefront of this work.
Methods Analytics is the sole Data Controller for data shared under this Data Sharing Agreement.
The data will be used to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non-NHS organisations, where the NHS is the end beneficiary. The organisations who would be considered as supporting the NHS directly are:
• Department of Health
• Care Quality Commission
• Monitor
• NHS Improvement
• NHS England
• NHSX
• NICE
• CCGs
• CSUs
• ICS/STPs (Only NHS bodies can be considered to support the NHS Directly)
• Local Authorities (for Public Health purposes only)
• Providers of NHS-funded care
• Professional bodies supporting the NHS (e.g. the British Medical Association or the Royal College of General Practitioners)
Organisations who support the NHS indirectly include commercial, charitable, academic and other forms of body working within the health and care space. Analysis is provided to these organisations solely for the purpose of delivering benefit to NHS organisations and/or the public. Methods' target audience is NHS organisations, however the NHS is increasingly looking to industry to support it in the provision of evidence and implementation support for service improvement, and hence Methods offers the tools and services to non-NHS organisations based on their agreeing to license terms and conditions, which include submitting and evidencing training in information governance and the restriction of the use of the tool to the uses outlined in this document, with this purpose statement flowed down as a contract schedule. For clarity, the schedule will include the following:
• Only aggregated small number suppressed data may be used from the tool.
• No data is to be used for direct marketing to individuals or organisations.
• No data is to be used for direct sales activities
There are three objectives of processing.
1) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
2) The NHS Improvement Getting it Right First Time Programme (GIRFT). Methods Analytics supports GIRFT with a range of bespoke analytical products. This includes provider level data packs focused on an individual specialty. These are required to be provided to GIRFT with low numbers present, anonymised. Methods Analytics also undertakes analytics for GIRFT relating to National reports and additional bespoke research and analysis using NHS Digital data, all suppressed and anonymized in line with the HES analysis guide.
All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS England/Improvement GIRFT programme, where the Data Controller is required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by the Data Controller and shared securely with the GIRFT programme.
All users working on the GIRFT program (and any organisation receiving a report as outlined below), where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not seek to re-identify any individual from that data.
Reports containing unsuppressed data may only be shared by NHSE/I with :
a. individual organisations to whom the data relates, and/or
b. with other network members (with the agreement of the individual organisation to whom the data relates), and/or
c. within NHSE/I in order to achieve the benefits outlined within the GIRFT programme (whilst NHSE and NHSI have an active data sharing agreement with NHS Digital covering the source data, this is under agreement DARS-NIC-15814-C6W9R).
3) SWORD™ is a programme for a number of the specialist surgical societies (which are registered charities) providing an intelligence tool for only their Consultant Surgeons members. The SWORD™ Consultant view provides access to measures and metrics about their own performance, to inform reflective practice, service improvement and appraisal.
SWORD™ pathway view͛ demonstrates at an organisation-level comparative data for individual surgical pathways, such as cholecystectomy, groin hernia etc. with the ability to filter and investigate how behaviour varies for groups of patients (grouped by a common theme eg: treatment pathway, not by identifiers).
Expected output
1 Bespoke analysis
• Bespoke analysis outputs are quite variable as the specific output is dependent on the requirement and use case. A range of output types are produced:
o Data tables
o Charts, graphs and other data visualisations
o Mapping with data overlays such as heat maps
• Outputs can be standalone or embedded in comprehensive reports either produced solely by Methods or as part of a wider product produced by clients and partners.
• Outputs can be static PDF documents or presentations or online interactive tools and solutions. These may be public or private.
• All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS Improvement GIRFT programme, where Methods are required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by Methods and shared securely with the GIRFT program.
o All users working on the GIRFT program, where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not :-
Onwardly share any data with small numbers within
Seek to re-identify any individual from that data.
Methods are continuing to use the data for this purpose, focused reporting for NHS and other clients as described, as well as academic research. Methods have a number of articles looking at urgent care particularly in late stage negotiations with journals and are due for publication shortly.
An example of a recent paper is published in the Journal of Hospital Medicine: Trends in Risk-Adjusted 28-Day Mortality Rates for Patients Hospitalized with COVID-19 in England, which used HES and linked civil deaths registration data, available here: https://lnkd.in/dmgnFzz.
2 NHS GIRFT programme
Methods Analytics supports GIRFT with delivery of specialty data packs, analytics for national reports and ad hoc reporting requirements. To date Methods Analytics Ltd have supported over twelve specialty data packs and their associated national reports, those that have progressed to publication are available here: https://www.gettingitrightfirsttime.co.uk/girft-reports/. One of the ad hoc reports Methods Analytics Ltd developed was an internal impact assessment of the programme to date which demonstrated savings to the NHS in excess of £1bn.
3 SWORD
• The SWORD programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
o The consultant view presents the individual with information about their activity and outcomes, with standard metrics such as counts, readmission rates, length of stay and bespoke metrics for specific pathways. This is benchmarked against their organisation and the national cohort.
o The pathway view presents the same data but at an organisation level such that the user can compare their organisations performance against the rest of the country.
• SWORD data is used in a number of ways:
o To enable individual reflection and change in practice
o To support appraisal and revalidation
o To enable unit review of performance and service improvement
o As the input to original research and publication of scientific papers in peer reviewed journals and conference presentations.
• SWORD contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
The SWORD tool has been re-commissioned again for 2021/22 by a number of Surgical Specialist Associations and is provided to their members to understand the outcomes they as individual surgeons achieve, compared to their peers as input into reflective practice and revalidation. This is regularly used with hundreds of downloads a year of summary information for revalidation portfolios.
Benefits reported
Methods has worked with a large NHS Trust to model patient flow, where Methods used SUS data to demonstrate the impact of changes to internal pathways and processes and benchmark this against other organisations. This enabled the Trust to refine its plans and improve flow and capacity. The improved flow improved patients experience of care by reducing the end to end duration of their hospital care.
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity. The GIRFT programme uses this analysis to identify changes that will help improve care and patient outcomes as well as delivering efficiencies across the NHS.
DARS-NIC-09519-D5G0R-v14.4 5 December 2020 to 4 December 2021
- Title
- Standard Extract Subscription - Purpose section scope amendment
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 16
- Files released
- 53
Datasets: Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset; Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set; Civil Registrations of Death - Secondary Care Cut; Diagnostic Imaging Data Set (DID); Emergency Care Data Set (ECDS); HES:Civil Registration (Deaths) bridge; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Services Data Set (MHSDS); Secondary Uses Service Payment By Results Accident & Emergency; Secondary Uses Service Payment By Results Episodes; Secondary Uses Service Payment By Results Outpatients; Secondary Uses Service Payment By Results Spells
What changed from DARS-NIC-09519-D5G0R-v13.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | Standard Extract Subscription - Purpose section scope amendment | |
| Start date | 2020-12-05 | |
| End date | 2021-12-04 | |
| Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Civil Registrations of Death - Secondary Care Cut: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Diagnostic Imaging Data Set (DID): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Emergency Care Data Set (ECDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| HES:Civil Registration (Deaths) bridge: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Hospital Episode Statistics Accident and Emergency (HES A and E): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Hospital Episode Statistics Admitted Patient Care (HES APC): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Hospital Episode Statistics Critical Care (HES Critical Care): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Hospital Episode Statistics Outpatients (HES OP): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health Services Data Set (MHSDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health and Learning Disabilities Data Set (MHLDDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Secondary Uses Service Payment By Results Accident & Emergency: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Secondary Uses Service Payment By Results Episodes: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Secondary Uses Service Payment By Results Outpatients: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Secondary Uses Service Payment By Results Spells: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' |
Expected measurable benefits
[1 paragraph unchanged] 1 Bespoke analysis Methods Analytics undertakes a range of projects for NHS bodies and other bodies supporting the NHS. A real-life example is a review of urgent care within an NHS Trust: Methods used HES data to build a picture of issues around urgent care including where patients are flowing from, how referral patterns are changing over time and conAcross all three Purposes the legitimate interest for processing under Article 6 section 1 (F) and Article Section 2 (J), have through the benefits delivered below ensured that it is in the public interest to ensure Healthcare providers in the United Kingdom obtain data to help inform them and help make the decisions they need to make for their organisations. [22 paragraphs unchanged]
Benefits reported
Methods works with the DH GIRFT programme, generating report across many specialty
[56 words unchanged]
programme updates for the GIRFT team, using HES analysis to demonstrate the
early
estimated programme
impact
the GIRFT programme has had across the NHS and supporting policy development, such as, realising
to date at
over
£4m of cashable saving and releasing over 50,000 bed days of surgical occupancy while improving the quality of care just in Orthopaedic Surgery.
£1bn.
[1 paragraph unchanged]
Changed only in punctuation, spacing or capitalisation: Objective for processing.
Unchanged: Processing activities, Expected output.
Objective for processing
Aim and Purpose of application
Methods Analytics Ltd (“Methods”) is a company which uses data to help inform people and organisations so they can improve their performance. NHS Digital datasets have been used to inform Methods' work since 2009, initially as an NHS Organisation, subsequently working with the NHS and other partners since 2012 as a commercial organisation.
Data is processed to support the NHS either directly through the delivery of tools and bespoke analysis to an NHS user or indirectly, where analytics are provided to the NHS as the end beneficiary via a non-NHS organisation.
The aim is for data to be used to help inform improvement in NHS services. The effect of using these data, analysed securely and then provided to NHS decision makers and providers to the NHS in Methods' tools helps decision makers visualise and understand what changes they need to make to their organisations and services to enhance the quality, safety and efficiency of health and care.
Legal Basis
The lawful basis for processing is covered under GDPR Article 6 Section 1 (F) – (“Processing is necessary for the purpose of the legitimate interests pursued by the controller or by a third party, except where such interests or fundamental rights and freedoms of the data subject which require protection of personal data , in particular where the subject is a child”) and Article 9 Section 2 (j). (“Processing is necessary for achieving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject”).
The legitimate interest being pursued by Methods is the business of processing data to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non NHS organisations (where analytics are provided to the NHS as the end beneficiary via a non NHS organization). This requirement is met as it is necessary to use these data in undertaking analysis and producing the outputs of analysis to identify good and bad practice, pathways and performance, to enable improvement in performance within the NHS.
The processing is proportionate to that purpose in that national healthcare data is needed in order to undertake benchmarking, demonstrate variation and allow comparison to inform improvement. Further suppression and aggregation is applied to ensure a national data picture, without unnecessary data or risk of identifying any individual person.
Data provided by NHS Digital is pseudonymised prior to dissemination to Methods.
Public Interest
This work is used to support national and local service improvement, policy and regulatory recommendations and peer reviewed scientific articles, contributing to improvement in quality, safety and efficiency of health and care. Without these data there is no other way to achieve the same outcome. It is in the public interest that NHS organisations, directly and through Method’s partners, should use the processed data to enable them to further improve the services they offer to the local and national public.
Data required and data management
Clients of Methods require analysis of national data to undertake benchmarking and enable understanding of variation in care and outcomes of care. Through constant review of processes, alongside the additional training and education of the team, Methods are constantly aware of the responsibility of working with the data and continuously work to improve data quality by identifying any issues to NHS Digital. Data asset minimisation and control of the risk of function creep is at the forefront of this work.
Who Methods work with
Methods Analytics is the data controller for data shared under this DSA.
The data will be used to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non-NHS organisations, where the NHS is the end beneficiary. The organisations who would be considered as supporting the NHS directly are:
• Department of Health
• Care Quality Commission
• Monitor
• NHS Improvement
• NHS England
• NICE
• CCGs
• CSUs
• Local Authorities (for Public Health purposes only)
• Providers of NHS-funded care
• Professional bodies
Organisations who support the NHS indirectly include commercial, charitable, academic and other forms of body working within the health and care space. Analysis is provided to these organisations solely for the purpose of delivering benefit to NHS organisations and/or the public. Methods' target audience is NHS organisations, however the NHS is increasingly looking to industry to support it in the provision of evidence and implementation support for service improvement, and hence Methods offers the tools and services to non-NHS organisations based on their agreeing to license terms and conditions, which include submitting and evidencing training in information governance and the restriction of the use of the tool to the uses outlined in this document, with this purpose statement flowed down as a contract schedule. For clarity, the schedule will include the following:
• Only aggregated small number suppressed data may be used from the tool.
• No data is to be used for direct marketing to individuals or organisations.
• No data is to be used for direct sales activities
There are three objectives of processing.
1) Stethoscope™ - a quality variation tool which provides local and national benchmarking of indicators derived from NHS Digital and other data, that is made available free to the public at an organisation roll-up level, and more granular information to subscribing organisations. Stethoscope™ is a complex analysis and visualisation platform that allows users to understand patterns in care provision, pathway and organisational performance and variation in these across the country. The aim is that users will be more able to understand the needs, demand, services and outcomes of care for the population they respond to and be able to make informed decisions to improve the efficiency and quality of care.
2) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
3) SWORD™ is a programme for a number of the specialist surgical societies (which are registered charities) providing an intelligence tool for only their Consultant Surgeons members. The SWORD™ Consultant view provides access to measures and metrics about their own performance, to inform reflective practice, service improvement and appraisal.
SWORD™ pathway view͛ demonstrates at an organisation-level comparative data for individual surgical pathways, such as cholecystectomy, groin hernia etc. with the ability to filter and investigate how behaviour varies for groups of patients (grouped by a common theme eg: treatment pathway, not by identifiers).
Expected output
1 Stethoscope™
• The primary output is an online intelligence platform available to users containing over 500 benchmarked metrics on NHS activity. This is designed to be visually attractive to users but convey rich statistical intelligence.
• The platform includes domain dashboards, filtered views with users able to explore areas of interest and shape metric views to their requirements, users are able to create bespoke reports containing information relevant to them. Stethoscope™ contains alert reporting, algorithmically surfacing to users metrics and organisations that are outliers and might require consideration, for action.
• Views include graphs, maps and data tables representing national, peer group and regional organisations performance compared to each other for any metric or filtered metric.
• All Stethoscope output is suppressed as per NHS Digital disclosure rules and uses the sensitive consultant ID field to enable personal scorecard creation to inform reflective practice and appraisal.
2 Bespoke analysis
• Bespoke analysis outputs are quite variable as the specific output is dependent on the requirement and use case. A range of output types are produced:
o Data tables
o Charts, graphs and other data visualisations
o Mapping with data overlays such as heatmaps
• Outputs can be standalone or embedded in comprehensive reports either produced solely by Methods or as part of a wider product produced by clients and partners.
• Outputs can be static PDF documents or presentations or online interactive tools and solutions. These may be public or private.
• All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS Improvement GIRFT programme, where Methods are required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by Methods and shared securely with the GIRFT program.
o All users working on the GIRFT program, where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not :-
Onwardly share any data with small numbers within
Seek to re-identify any individual from that data.
3 SWORD™
• The SWORD™ programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
o The consultant view presents the individual with information about their activity and outcomes, with standard metrics such as counts, readmission rates, length of stay and bespoke metrics for specific pathways. This is benchmarked against their organisation and the national cohort.
o The pathway view presents the same data but at an organisation level such that the user can compare their organisations performance against the rest of the country.
• SWORD™ data is used in a number of ways:
o To enable individual reflection and change in practice
o To support appraisal and revalidation
o To enable unit review of performance and service improvement
o As the input to original research and publication of scientific papers in peer reviewed journals and conference presentations.
• SWORD™ contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
Benefits reported
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out. Methods Analytics have produced programme updates for the GIRFT team, using HES analysis to demonstrate the estimated programme impact to date at over £1bn.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity.
DARS-NIC-09519-D5G0R-v13.2 5 December 2019 to 4 December 2020
- Title
- Standard Extract Subscription - Renewal
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 16
- Files released
- 183
Datasets: Bridge file: Hospital Episode Statistics to Diagnostic Imaging Dataset; Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set; Civil Registrations of Death - Secondary Care Cut; Diagnostic Imaging Data Set (DID); Emergency Care Data Set (ECDS); HES:Civil Registration (Deaths) bridge; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Services Data Set (MHSDS); Secondary Uses Service Payment By Results Accident & Emergency; Secondary Uses Service Payment By Results Episodes; Secondary Uses Service Payment By Results Outpatients; Secondary Uses Service Payment By Results Spells
Objective for processing
Aim and Purpose of application
Methods Analytics Ltd (“Methods”) is a company which uses data to help inform people and organisations so they can improve their performance. NHS Digital datasets have been used to inform Methods' work since 2009, initially as an NHS Organisation, subsequently working with the NHS and other partners since 2012 as a commercial organisation.
Data is processed to support the NHS either directly through the delivery of tools and bespoke analysis to an NHS user or indirectly, where analytics are provided to the NHS as the end beneficiary via a non-NHS organisation.
The aim is for data to be used to help inform improvement in NHS services. The effect of using these data, analysed securely and then provided to NHS decision makers and providers to the NHS in Methods' tools helps decision makers visualise and understand what changes they need to make to their organisations and services to enhance the quality, safety and efficiency of health and care.
Legal Basis
The lawful basis for processing is covered under GDPR Article 6 Section 1 (F) – (“Processing is necessary for the purpose of the legitimate interests pursued by the controller or by a third party, except where such interests or fundamental rights and freedoms of the data subject which require protection of personal data , in particular where the subject is a child”) and Article 9 Section 2 (j). (“Processing is necessary for achieving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject”).
The legitimate interest being pursued by Methods is the business of processing data to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non NHS organisations (where analytics are provided to the NHS as the end beneficiary via a non NHS organization). This requirement is met as it is necessary to use these data in undertaking analysis and producing the outputs of analysis to identify good and bad practice, pathways and performance, to enable improvement in performance within the NHS.
The processing is proportionate to that purpose in that national healthcare data is needed in order to undertake benchmarking, demonstrate variation and allow comparison to inform improvement. Further suppression and aggregation is applied to ensure a national data picture, without unnecessary data or risk of identifying any individual person.
Data provided by NHS Digital is pseudonymised prior to dissemination to Methods.
Public Interest
This work is used to support national and local service improvement, policy and regulatory recommendations and peer reviewed scientific articles, contributing to improvement in quality, safety and efficiency of health and care. Without these data there is no other way to achieve the same outcome. It is in the public interest that NHS organisations, directly and through Method’s partners, should use the processed data to enable them to further improve the services they offer to the local and national public.
Data required and data management
Clients of Methods require analysis of national data to undertake benchmarking and enable understanding of variation in care and outcomes of care. Through constant review of processes, alongside the additional training and education of the team, Methods are constantly aware of the responsibility of working with the data and continuously work to improve data quality by identifying any issues to NHS Digital. Data asset minimisation and control of the risk of function creep is at the forefront of this work.
Who Methods work with
Methods Analytics is the data controller for data shared under this DSA.
The data will be used to support the NHS either directly through the delivery of tools and bespoke analysis or indirectly through non-NHS organisations, where the NHS is the end beneficiary. The organisations who would be considered as supporting the NHS directly are:
• Department of Health
• Care Quality Commission
• Monitor
• NHS Improvement
• NHS England
• NICE
• CCGs
• CSUs
• Local Authorities (for Public Health purposes only)
• Providers of NHS-funded care
• Professional bodies
Organisations who support the NHS indirectly include commercial, charitable, academic and other forms of body working within the health and care space. Analysis is provided to these organisations solely for the purpose of delivering benefit to NHS organisations and/or the public. Methods' target audience is NHS organisations, however the NHS is increasingly looking to industry to support it in the provision of evidence and implementation support for service improvement, and hence Methods offers the tools and services to non-NHS organisations based on their agreeing to license terms and conditions, which include submitting and evidencing training in information governance and the restriction of the use of the tool to the uses outlined in this document, with this purpose statement flowed down as a contract schedule. For clarity, the schedule will include the following:
• Only aggregated small number suppressed data may be used from the tool.
• No data is to be used for direct marketing to individuals or organisations.
• No data is to be used for direct sales activities
There are three objectives of processing.
1) Stethoscope™ - a quality variation tool which provides local and national benchmarking of indicators derived from NHS Digital and other data, that is made available free to the public at an organisation roll-up level, and more granular information to subscribing organisations. Stethoscope™ is a complex analysis and visualisation platform that allows users to understand patterns in care provision, pathway and organisational performance and variation in these across the country. The aim is that users will be more able to understand the needs, demand, services and outcomes of care for the population they respond to and be able to make informed decisions to improve the efficiency and quality of care.
2) Bespoke tools and analysis. Method’s deliver specialised healthcare analytics to clients through online and offline reporting, shaping outputs to deliver actionable intelligence to the user. Reports may contain standard or bespoke metric items, tables, maps, graphs as is most appropriate to enable the user to interpret the information presented.
3) SWORD™ is a programme for a number of the specialist surgical societies (which are registered charities) providing an intelligence tool for only their Consultant Surgeons members. The SWORD™ Consultant view provides access to measures and metrics about their own performance, to inform reflective practice, service improvement and appraisal.
SWORD™ pathway view͛ demonstrates at an organisation-level comparative data for individual surgical pathways, such as cholecystectomy, groin hernia etc. with the ability to filter and investigate how behaviour varies for groups of patients (grouped by a common theme eg: treatment pathway, not by identifiers).
Expected output
1 Stethoscope™
• The primary output is an online intelligence platform available to users containing over 500 benchmarked metrics on NHS activity. This is designed to be visually attractive to users but convey rich statistical intelligence.
• The platform includes domain dashboards, filtered views with users able to explore areas of interest and shape metric views to their requirements, users are able to create bespoke reports containing information relevant to them. Stethoscope™ contains alert reporting, algorithmically surfacing to users metrics and organisations that are outliers and might require consideration, for action.
• Views include graphs, maps and data tables representing national, peer group and regional organisations performance compared to each other for any metric or filtered metric.
• All Stethoscope output is suppressed as per NHS Digital disclosure rules and uses the sensitive consultant ID field to enable personal scorecard creation to inform reflective practice and appraisal.
2 Bespoke analysis
• Bespoke analysis outputs are quite variable as the specific output is dependent on the requirement and use case. A range of output types are produced:
o Data tables
o Charts, graphs and other data visualisations
o Mapping with data overlays such as heatmaps
• Outputs can be standalone or embedded in comprehensive reports either produced solely by Methods or as part of a wider product produced by clients and partners.
• Outputs can be static PDF documents or presentations or online interactive tools and solutions. These may be public or private.
• All output of bespoke analysis is suppressed as per NHS Digital disclosure rules other than work undertaken for the NHS Improvement GIRFT programme, where Methods are required to provide unsuppressed (low count) data in these outputs to enable national clinical leads, who are NHS employees, to explore and understand low volume activity in their conversations with providers as part of the picture of the service that is being considered. These outputs are produced by Methods and shared securely with the GIRFT program.
o All users working on the GIRFT program, where unsuppressed small numbers data may be visible, are informed of the terms of use which state that they must not :-
Onwardly share any data with small numbers within
Seek to re-identify any individual from that data.
3 SWORD™
• The SWORD™ programme product set is an online portal that encompasses data visualisation tooling and reference data for users such as definition sets and other metadata information. There are two views of analysis:
o The consultant view presents the individual with information about their activity and outcomes, with standard metrics such as counts, readmission rates, length of stay and bespoke metrics for specific pathways. This is benchmarked against their organisation and the national cohort.
o The pathway view presents the same data but at an organisation level such that the user can compare their organisations performance against the rest of the country.
• SWORD™ data is used in a number of ways:
o To enable individual reflection and change in practice
o To support appraisal and revalidation
o To enable unit review of performance and service improvement
o As the input to original research and publication of scientific papers in peer reviewed journals and conference presentations.
• SWORD™ contains unsuppressed (low count) data and utilises the sensitive consultant ID field.
Benefits reported
Methods works with the DH GIRFT programme, generating report across many specialty areas under Lord Carter’s NHS efficiency programme. These detailed data rich reports are shaped by national lead clinicians for each specialty and they then visit every provider in England to discuss their data with them in order to improve the quality and efficiency of care. This programme is currently being rolled out. Methods Analytics have produced programme updates for the GIRFT team, using HES analysis to demonstrate the early impact the GIRFT programme has had across the NHS and supporting policy development, such as, realising over £4m of cashable saving and releasing over 50,000 bed days of surgical occupancy while improving the quality of care just in Orthopaedic Surgery.
Methods has also supported the development and publication of GIRFT national reports (http://gettingitrightfirsttime.co.uk/girft-reports/) through use of NHS Digital data to enable the development of national level recommendations on policy and regulation of the services based on sound analysis. Across these reports many hundreds of millions of pounds of savings have been identified, with specific recommendations supporting the delivery of each savings opportunity.
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. 3 versions: DARS-NIC-09519-D5G0R-v13.2, DARS-NIC-09519-D5G0R-v14.4, DARS-NIC-09519-D5G0R-v15.2
-
October 2021
Amended DARS-NIC-09519-D5G0R-v15.2
- Datasets: + HES-ID to MPS-ID HES Accident and Emergency; + HES-ID to MPS-ID HES Admitted Patient Care; + HES-ID to MPS-ID HES Outpatients
- Objective for processing:
reworded
Show the change
Aim and Purpose of application[3 paragraphs unchanged]Legal Basis[4 paragraphs unchanged]Public Interest[1 paragraph unchanged]Data required and data management[1 paragraph unchanged]Who Methods work withMethods Analytics is the sole Data Controller for data shared under this Data Sharing Agreement.Methods Analytics is the data controller for data shared under this DSA.[29 paragraphs unchanged] - Processing activities:
reworded
Show the change
[12 paragraphs unchanged] •
DataPseudonymised data is transferred directly from NHS Digital to Redcentric using NHS Digital’s Secure [7 words unchanged] is only utilised by Methods employees who have authorised named SEFT accounts. [29 paragraphs unchanged]
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January 2022
1 version added: DARS-NIC-09519-D5G0R-v16.5
-
March 2022
1 version added: DARS-NIC-09519-D5G0R-v17.2
-
December 2022
Register-wide edit DARS-NIC-09519-D5G0R-v13.2 — Datasets: legal basis: “
s261(1) and” taken out. Made to 639 agreements in this edition, so it is reported once, on the changes page, and not counted as an amendment of this agreement.
"Amended in place" means NHS England changed the record without issuing a new version number. The register publishes no changelog for those edits; this site infers them by comparing editions. An edit is attributed to the edition it first appears in, not to the date it was made.
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-09519-D5G0R, “Standard Extract Subscription - Extension and Renewal”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-09519-d5g0r/ (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-09519-D5G0R to see the original rows.