Quality, safety and clinical governance in NHS and independent hospitals
The University of Manchester · Academic
In term In term in the September 2026 edition: the latest version runs to 11 December 2028.
- Reference
- DARS-NIC-695075-J7Y2H
- Current version
- v2.2
- Term of current version
- 12 December 2025 to 11 December 2028
- Start date
- 15 March 2024
- Data controller
- Joint Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 22
Data controllers
Why the data was released
Objective for processing
The University of Manchester and the University of York require access to NHS England Data for the purpose of the following research project: “Quality, safety and clinical governance in NHS and independent hospitals”
The following is a summary of the aims of the research project provided by the University of Manchester and the University of York:
“The overall aim of this research is to provide evidence on the quality and safety of patient care in NHS and independent hospitals and the effectiveness and impact of shared arrangements for clinical governance.
The research aims to answer the following questions:
1. What are the characteristics of the patient population and the care provision in NHS and independent hospitals in England, and what differences are observed by funding type (NHS or private), care setting (NHS or independent), specialty, procedure, geography and over time?
2. Can we map and measure the overall scope of practice of doctors providing care in both NHS and independent hospitals, and explore how well those organisations understand and oversee that scope of practice through the separate and shared arrangements for clinical governance that they have in place?
3. How does the quality and safety of care provided in NHS and independent hospitals differ, and what hospital, consultant, or other characteristics are associated with such variations?
4. How have the practice and working arrangements between NHS and independent hospitals changed during and after the COVID19 pandemic, and what effects have those changes had on clinical governance and the quality and safety of care?”
The following NHS England Data will be accessed:
• Hospital Episode Statistics (HES) Admitted Patient Care (APC), Emergency Care Data Set (ECDS) and Civil Registrations of Deaths
– necessary to:
- characterise the patient population and care provision in NHS hospitals over time, for comparison to equivalent data for independent hospitals provided by the Private Healthcare Information Network (PHIN)
- assess differences in coding of hospital inpatient admission data between providers and sectors
- map the scale and scope of practice of doctors who provide care across the NHS and the independent sector
- analyse whether and how the quality and safety of care differs according to the factors stated in the research questions above
- to inform case study selection of NHS hospitals for a qualitative exploration of clinical governance processes
- to generate ‘scope of practice’ profiles for selected consultants and hospitals and explore how these could be used in clinical governance
The level of the Data will be pseudonymised.
The Data will be minimised as follows:
• Limited to individuals who have had inpatient hospital admissions within England
• Limited to Data between April 2013 to latest available
Data from 2013 to latest available is required to better understand how activity covered in HES data has changed over time. In particular this will allow The University of Manchester and the University of York to look at how NHS funded care that is provided in private hospitals has change over time.
The University of Manchester as the research sponsor, and the University of York as the main collaborator are joint controllers as the organisations responsible for ensuring that the Data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving 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.
This processing is in the public interest because it aims to evaluate the quality, safety and clinical governance in NHS and independent hospitals, and thereby ensure that patients receive consistently high-quality care in all care settings.
The funding is provided by the National Institute for Health Research. The funding is specifically for the project described.
The funder(s) will have no ability to suppress or otherwise limit the publication of findings.
The Project Advisory Group comprises individuals from the General Medical Council, NHS England, NHS Resolution, the Department of Health and Social Care, the Care Quality Commission, the Nuffield Trust, The Health Foundation, University of Oxford, PHIN, BUPA Healthcare, the Independent Healthcare Providers Network. The Project Advisory Group provides guidance to the research team, gives feedback on emerging findings from the research, and advises on their dissemination.
The study has patient and public involvement (PPI) embedded throughout. The whole scope of the project has been informed by discussions with the PPI group and PPI co-applicant. Discussions with the study’s PPI group and PPI co-applicant continue to shape the study design and planning.
Processing activities
No data will flow to NHS England for the purposes of this Data Sharing Agreement (DSA).
NHS England will provide the relevant records from HES APC, ECDS and Civil Registrations of Deaths data to the University of Manchester. The Data will contain no direct identifying data items. The Data will be pseudonymised and patients cannot be reidentified through linkage with other data in the possession of the recipient.
The Data will not be transferred to any other location.
The Data will be stored on servers at the University of Manchester.
The Data will be accessed onsite at the premises of the University of Manchester, or by authorised personnel via remote access.
The Controllers must confirm and provide evidence upon audit by NHS England that access via any remote device complies with the data security obligations within this DSA and the Data Sharing Framework Contract.
For remote access:
- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;
- Access controls granting users the minimum level of access required are in place;
- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;
- Multifactor authentication (MFA) is required for remote access;
- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;
- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.
The above applies in addition to any condition set out elsewhere within the DSA (e.g. who may carry out processing, and for what purpose).
Remote processing will be from secure locations within England. The Data will not leave England at any time.
Access is restricted to employees of the University of Manchester who have authorisation from the Principal Investigator or nominated co-Investigator.
The University of York is not permitted to access the Data.
All personnel accessing the Data have been appropriately trained in data protection and confidentiality.
The aggregated information derived from the Data will be combined with aggregated equivalent private hospital inpatient admission data from the Private Healthcare Information Network (PHIN). This will enable comparison of, for example, how many procedures are undertaken in each sector overall and by consultant. All analysis of NHS England Data and PHIN data will be conducted in separate secure environments.
The Data will be linked to data which is publicly available in the General Medical Council (GMC) register (https://www.gmc-uk.org/registration-and-licensing/the-medical-register). The consultant code available in the HES Data will be used to retrieve the gender, qualification, year of qualification, place of qualification country, full registration date, registration status, specialty, sub-specialty, and revalidation status of consultants. The Data will not be linked with any other data.
There will be no requirement and no attempt to reidentify individuals when using the Data.
Researchers from the University of Manchester will analyse the Data for the purposes described in Objectives for Processing.
Expected output
The expected outputs of the processing will be:
• Submissions to peer reviewed journals such as Health Economics, Health Services Journal, Journal of Health Services Research & Policy, and BMJ Quality & Safety in autumn 2024 and spring 2025
• Presentations at national and international conferences to audiences of academics and health professionals, such as the UK Health Economists’ Study Group and Health Services Research UK
• A report of findings to the National Institute for Health and Care Research (NIHR) on the final outcome of the research project (anticipated mid-late 2025)
• Bespoke hospital and consultant level reports defining scale and scope of clinical activity
The outputs will not contain NHS England Data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
The outputs will be communicated to relevant recipients through the following dissemination channels:
• Journals
• Summary reports/ video presentations shared via social media, aimed at practitioners and at the public/ patients
• Press/ media engagement
• Seminars for NHS and independent hospital staff involved in clinical governance
• Direct bilateral engagement with existing forums such as the NHS England Responsible Officer networks
The Data requested from NHS England is one component of a larger project which will also involve analysis of data from the private healthcare sector, and qualitative research across the NHS and private sector. Outputs will largely relate to the project as a whole, therefore dissemination dates may be impacted by delays to other work packages.
Expected measurable benefits
The findings of this research study are expected to contribute to evidence-based decision-making for policy-makers, local decision-makers such as doctors, and patients to inform policy around shared arrangements for clinical governance and patient choice about which hospital setting is likely to provide the best quality care for their needs.
The use of the Data could:
• help the system to better understand the health and care needs of populations.
• lead to the identification or improvement of health and care system design to improve health and care outcomes or experience.
• advance understanding of regional and national trends in healthcare needs.
• inform planning health services and programmes, for example to improve equity of access, experience and outcomes.
• inform decisions on how to effectively allocate and evaluate funding according to health needs.
• provide a mechanism for checking the quality of care. This could include identifying areas of good practice to learn from, or areas of poorer practice which need to be addressed.
• support knowledge creation or exploratory research (and the innovations and developments that might result from that exploratory work).
Patients are expected to be better informed about the types of care that are provided and financed by the NHS as compared to the independent sector. This may help patients make more informed choices about the care they might receive, and how this differs by clinical speciality. The research is expected to identify which types of procedures are conducted more routinely within which sector. This is a factor which might help a patient to decide where they would prefer to receive their care.
It is also expected that if the research findings support that particular procedures are more suited to certain settings or patient groups, this could facilitate decisions about which setting is most appropriate for NHS-funded care.
It is hoped that through publication of findings in appropriate media and direct engagement of key stakeholder organisations, the findings of this research will add to the body of evidence that is considered by the organisations and individual care practitioners charged with making policy decisions for or within the NHS and across the independent sector. Providing information in the form of consultant profiles on scale and scope of clinical activity is expected to have benefits to the clinical governance process. For example, the process for medical revalidation may be improved with access to more information on scale and scope of clinical activity.
The University of Manchester and University of York intend to share emerging research findings with the Project Advisory Group and Patient and Public Involvement (PPI) group to facilitate dissemination to other key stakeholders nationally, as well as share key findings via social and traditional media coverage, in order to optimise the potential public benefits.
Benefits reported so far
Analysis is ongoing and benefits have yet to be yielded
Datasets on the current version
Legal basis for provision: Health and Social Care Act 2012 – s261(2)(a)
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Civil Registrations of Death | Anonymised - ICO Code Compliant | Sensitive | One-Off | Does not include the flow of confidential data |
| Emergency Care Data Set (ECDS) | Anonymised - ICO Code Compliant | Sensitive | One-Off | Does not include the flow of confidential data |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | Anonymised - ICO Code Compliant | Sensitive | One-Off | 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 22 files released under this agreement, across every version. About opt-outs
Files released against version 2.2 of this agreement, summarised by dataset.
| Dataset | Files | First released | Last released | Opt-outs applied |
|---|---|---|---|---|
| Emergency Care Data Set (ECDS) | 2 | February 2026 | February 2026 | No |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | 2 | February 2026 | February 2026 | No |
| Civil Registrations of Death | 1 | February 2026 | February 2026 | No |
Version history
The register lists each renewal of this agreement as a separate row. This site has 3 versions.
DARS-NIC-695075-J7Y2H-v2.2 12 December 2025 to 11 December 2028
- Title
- Quality, safety and clinical governance in NHS and independent hospitals
- Commercial
- No
- Sublicensing
- No
- Datasets
- 3
- Files released
- 5
Datasets: Civil Registrations of Death; Emergency Care Data Set (ECDS); Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-695075-J7Y2H-v1.5
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-12-12 | |
| End date | 2028-12-11 |
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits, Benefits reported.
DARS-NIC-695075-J7Y2H-v1.5 22 November 2024 to 21 November 2027
- Title
- Quality, safety and clinical governance in NHS and independent hospitals
- Commercial
- No
- Sublicensing
- No
- Datasets
- 3
- Files released
- 10
Datasets: Civil Registrations of Death; Emergency Care Data Set (ECDS); Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-695075-J7Y2H-v0.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-11-22 | |
| End date | 2027-11-21 |
Datasets: + Civil Registrations of Death; + Emergency Care Data Set (ECDS)
Objective for processing
[9 paragraphs unchanged]
• Hospital Episode Statistics (HES) Admitted Patient Care
(APC) – necessary to:
(APC), Emergency Care Data Set (ECDS) and Civil Registrations of Deaths
1) characterise the patient population and care provision in NHS hospitals over time, for comparison to equivalent data for independent hospitals provided by the Private Healthcare Information Network (PHIN)
– necessary to:
2) assess differences in coding of hospital inpatient admission data between providers and sectors
- characterise the patient population and care provision in NHS hospitals over time, for comparison to equivalent data for independent hospitals provided by the Private Healthcare Information Network (PHIN)
3) map the scale and scope of practice of doctors who provide care across the NHS and the independent sector
- assess differences in coding of hospital inpatient admission data between providers and sectors
4) analyse whether and how the quality and safety of care differs according to the factors stated in the research questions above
- map the scale and scope of practice of doctors who provide care across the NHS and the independent sector
5) to inform case study selection of NHS hospitals for a qualitative exploration of clinical governance processes
- analyse whether and how the quality and safety of care differs according to the factors stated in the research questions above
6) to generate ‘scope of practice’ profiles for selected consultants and hospitals and explore how these could be used in clinical governance
- to inform case study selection of NHS hospitals for a qualitative exploration of clinical governance processes
- to generate ‘scope of practice’ profiles for selected consultants and hospitals and explore how these could be used in clinical governance
[3 paragraphs unchanged]
• Limited to Data between April
2017 and March 2024
2013 to latest available
Data from 2013 to latest available is required to better understand how activity covered in HES data has changed over time. In particular this will allow The University of Manchester and the University of York to look at how NHS funded care that is provided in private hospitals has change over time.
[6 paragraphs unchanged]
The funding is provided by the National Institute for Health Research. The funding is specifically for the project described.
Funding is in place until 30/06/2025.
[3 paragraphs unchanged]
Processing activities
[1 paragraph unchanged]
NHS England will provide the relevant records from
the
HES
Admitted Patient Care dataset
APC, ECDS and Civil Registrations of Deaths data
to the University of Manchester. The Data will contain no direct identifying
[11 words unchanged]
reidentified through linkage with other data in the possession of the recipient.
[16 paragraphs unchanged]
The aggregated information derived from the Data will be combined with aggregated
[23 words unchanged]
are undertaken in each sector overall and by consultant. All analysis of
HES APC
NHS England
Data and PHIN data will be conducted in separate secure environments.
[3 paragraphs unchanged]
Benefits reported
Yielded Benefits is not a requirement for new applications.
Analysis is ongoing and benefits have yet to be yielded
Unchanged: Expected output, Expected measurable benefits.
Objective for processing
The University of Manchester and the University of York require access to NHS England Data for the purpose of the following research project: “Quality, safety and clinical governance in NHS and independent hospitals”
The following is a summary of the aims of the research project provided by the University of Manchester and the University of York:
“The overall aim of this research is to provide evidence on the quality and safety of patient care in NHS and independent hospitals and the effectiveness and impact of shared arrangements for clinical governance.
The research aims to answer the following questions:
1. What are the characteristics of the patient population and the care provision in NHS and independent hospitals in England, and what differences are observed by funding type (NHS or private), care setting (NHS or independent), specialty, procedure, geography and over time?
2. Can we map and measure the overall scope of practice of doctors providing care in both NHS and independent hospitals, and explore how well those organisations understand and oversee that scope of practice through the separate and shared arrangements for clinical governance that they have in place?
3. How does the quality and safety of care provided in NHS and independent hospitals differ, and what hospital, consultant, or other characteristics are associated with such variations?
4. How have the practice and working arrangements between NHS and independent hospitals changed during and after the COVID19 pandemic, and what effects have those changes had on clinical governance and the quality and safety of care?”
The following NHS England Data will be accessed:
• Hospital Episode Statistics (HES) Admitted Patient Care (APC), Emergency Care Data Set (ECDS) and Civil Registrations of Deaths
– necessary to:
- characterise the patient population and care provision in NHS hospitals over time, for comparison to equivalent data for independent hospitals provided by the Private Healthcare Information Network (PHIN)
- assess differences in coding of hospital inpatient admission data between providers and sectors
- map the scale and scope of practice of doctors who provide care across the NHS and the independent sector
- analyse whether and how the quality and safety of care differs according to the factors stated in the research questions above
- to inform case study selection of NHS hospitals for a qualitative exploration of clinical governance processes
- to generate ‘scope of practice’ profiles for selected consultants and hospitals and explore how these could be used in clinical governance
The level of the Data will be pseudonymised.
The Data will be minimised as follows:
• Limited to individuals who have had inpatient hospital admissions within England
• Limited to Data between April 2013 to latest available
Data from 2013 to latest available is required to better understand how activity covered in HES data has changed over time. In particular this will allow The University of Manchester and the University of York to look at how NHS funded care that is provided in private hospitals has change over time.
The University of Manchester as the research sponsor, and the University of York as the main collaborator are joint controllers as the organisations responsible for ensuring that the Data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving 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.
This processing is in the public interest because it aims to evaluate the quality, safety and clinical governance in NHS and independent hospitals, and thereby ensure that patients receive consistently high-quality care in all care settings.
The funding is provided by the National Institute for Health Research. The funding is specifically for the project described.
The funder(s) will have no ability to suppress or otherwise limit the publication of findings.
The Project Advisory Group comprises individuals from the General Medical Council, NHS England, NHS Resolution, the Department of Health and Social Care, the Care Quality Commission, the Nuffield Trust, The Health Foundation, University of Oxford, PHIN, BUPA Healthcare, the Independent Healthcare Providers Network. The Project Advisory Group provides guidance to the research team, gives feedback on emerging findings from the research, and advises on their dissemination.
The study has patient and public involvement (PPI) embedded throughout. The whole scope of the project has been informed by discussions with the PPI group and PPI co-applicant. Discussions with the study’s PPI group and PPI co-applicant continue to shape the study design and planning.
Expected output
The expected outputs of the processing will be:
• Submissions to peer reviewed journals such as Health Economics, Health Services Journal, Journal of Health Services Research & Policy, and BMJ Quality & Safety in autumn 2024 and spring 2025
• Presentations at national and international conferences to audiences of academics and health professionals, such as the UK Health Economists’ Study Group and Health Services Research UK
• A report of findings to the National Institute for Health and Care Research (NIHR) on the final outcome of the research project (anticipated mid-late 2025)
• Bespoke hospital and consultant level reports defining scale and scope of clinical activity
The outputs will not contain NHS England Data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
The outputs will be communicated to relevant recipients through the following dissemination channels:
• Journals
• Summary reports/ video presentations shared via social media, aimed at practitioners and at the public/ patients
• Press/ media engagement
• Seminars for NHS and independent hospital staff involved in clinical governance
• Direct bilateral engagement with existing forums such as the NHS England Responsible Officer networks
The Data requested from NHS England is one component of a larger project which will also involve analysis of data from the private healthcare sector, and qualitative research across the NHS and private sector. Outputs will largely relate to the project as a whole, therefore dissemination dates may be impacted by delays to other work packages.
Benefits reported
Analysis is ongoing and benefits have yet to be yielded
DARS-NIC-695075-J7Y2H-v0.2 15 March 2024 to 14 March 2026
- Title
- Quality, safety and clinical governance in NHS and independent hospitals
- Commercial
- No
- Sublicensing
- No
- Datasets
- 1
- Files released
- 7
Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)
Objective for processing
The University of Manchester and the University of York require access to NHS England Data for the purpose of the following research project: “Quality, safety and clinical governance in NHS and independent hospitals”
The following is a summary of the aims of the research project provided by the University of Manchester and the University of York:
“The overall aim of this research is to provide evidence on the quality and safety of patient care in NHS and independent hospitals and the effectiveness and impact of shared arrangements for clinical governance.
The research aims to answer the following questions:
1. What are the characteristics of the patient population and the care provision in NHS and independent hospitals in England, and what differences are observed by funding type (NHS or private), care setting (NHS or independent), specialty, procedure, geography and over time?
2. Can we map and measure the overall scope of practice of doctors providing care in both NHS and independent hospitals, and explore how well those organisations understand and oversee that scope of practice through the separate and shared arrangements for clinical governance that they have in place?
3. How does the quality and safety of care provided in NHS and independent hospitals differ, and what hospital, consultant, or other characteristics are associated with such variations?
4. How have the practice and working arrangements between NHS and independent hospitals changed during and after the COVID19 pandemic, and what effects have those changes had on clinical governance and the quality and safety of care?”
The following NHS England Data will be accessed:
• Hospital Episode Statistics (HES) Admitted Patient Care (APC) – necessary to:
1) characterise the patient population and care provision in NHS hospitals over time, for comparison to equivalent data for independent hospitals provided by the Private Healthcare Information Network (PHIN)
2) assess differences in coding of hospital inpatient admission data between providers and sectors
3) map the scale and scope of practice of doctors who provide care across the NHS and the independent sector
4) analyse whether and how the quality and safety of care differs according to the factors stated in the research questions above
5) to inform case study selection of NHS hospitals for a qualitative exploration of clinical governance processes
6) to generate ‘scope of practice’ profiles for selected consultants and hospitals and explore how these could be used in clinical governance
The level of the Data will be pseudonymised.
The Data will be minimised as follows:
• Limited to individuals who have had inpatient hospital admissions within England
• Limited to Data between April 2017 and March 2024
The University of Manchester as the research sponsor, and the University of York as the main collaborator are joint controllers as the organisations responsible for ensuring that the Data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving 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.
This processing is in the public interest because it aims to evaluate the quality, safety and clinical governance in NHS and independent hospitals, and thereby ensure that patients receive consistently high-quality care in all care settings.
The funding is provided by the National Institute for Health Research. The funding is specifically for the project described. Funding is in place until 30/06/2025.
The funder(s) will have no ability to suppress or otherwise limit the publication of findings.
The Project Advisory Group comprises individuals from the General Medical Council, NHS England, NHS Resolution, the Department of Health and Social Care, the Care Quality Commission, the Nuffield Trust, The Health Foundation, University of Oxford, PHIN, BUPA Healthcare, the Independent Healthcare Providers Network. The Project Advisory Group provides guidance to the research team, gives feedback on emerging findings from the research, and advises on their dissemination.
The study has patient and public involvement (PPI) embedded throughout. The whole scope of the project has been informed by discussions with the PPI group and PPI co-applicant. Discussions with the study’s PPI group and PPI co-applicant continue to shape the study design and planning.
Expected output
The expected outputs of the processing will be:
• Submissions to peer reviewed journals such as Health Economics, Health Services Journal, Journal of Health Services Research & Policy, and BMJ Quality & Safety in autumn 2024 and spring 2025
• Presentations at national and international conferences to audiences of academics and health professionals, such as the UK Health Economists’ Study Group and Health Services Research UK
• A report of findings to the National Institute for Health and Care Research (NIHR) on the final outcome of the research project (anticipated mid-late 2025)
• Bespoke hospital and consultant level reports defining scale and scope of clinical activity
The outputs will not contain NHS England Data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
The outputs will be communicated to relevant recipients through the following dissemination channels:
• Journals
• Summary reports/ video presentations shared via social media, aimed at practitioners and at the public/ patients
• Press/ media engagement
• Seminars for NHS and independent hospital staff involved in clinical governance
• Direct bilateral engagement with existing forums such as the NHS England Responsible Officer networks
The Data requested from NHS England is one component of a larger project which will also involve analysis of data from the private healthcare sector, and qualitative research across the NHS and private sector. Outputs will largely relate to the project as a whole, therefore dissemination dates may be impacted by delays to other work packages.
Benefits reported
Yielded Benefits is not a requirement for new applications.
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds.
-
April 2024 —
first listed. 1 version: DARS-NIC-695075-J7Y2H-v0.2
-
February 2025
1 version added: DARS-NIC-695075-J7Y2H-v1.5
-
March 2026
1 version added: DARS-NIC-695075-J7Y2H-v2.2
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-695075-J7Y2H, “Quality, safety and clinical governance in NHS and independent hospitals”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-695075-j7y2h/ (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-695075-J7Y2H to see the original rows.