PreHOspital Triage for potential stroke patients: lessONs from systems Implemented in response to COVID19 (PHOTONIC)
University College London (UCL) · Academic
In term In term in the September 2026 edition: the latest version runs to 9 October 2026.
- Reference
- DARS-NIC-680546-S0V4K
- Current version
- v2.3
- Term of current version
- 13 June 2025 to 9 October 2026
- Start date
- 10 October 2023
- Data controller
- Sole Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 13
Why the data was released
Objective for processing
University College London (UCL) requires access to NHS England data for the purpose of the PHOTONIC study.
The following is a summary of the aims of the research project provided by UCL:
“The PHOTONIC study aims to assess how prehospital triage for suspected stroke patients was set up, run and experienced by patients, carers and staff during the COVID-19 (Coronavirus Disease 2019) pandemic. It aims to provide robust evidence on how prehospital video triage affects patient outcomes and cost-effectiveness, with the results used to improve care for both stroke patients and patients displaying stroke symptoms (‘stroke mimics’) which were subsequently diagnosed not to be stroke.
“Some of the most common stroke mimics are seizures, migraine, fainting, serious infections and functional neurological disorder.
“The study will utilise four study areas (North Central London, East Kent, Maidstone, and Darent Valley) where prehospital video triage was implemented since 2020. Throughout the analysis intervention is introduced in different sites at different times and different individuals are in the analysis at each timepoint. This allows for the period before implementation in the intervention sites to act as a further control. The quantitative component of the study will assess how prehospital triage affects patient transfer, care delivery and patient outcomes for stroke patients and mimics using longitudinal data.
“Firstly, the study will analyse how prehospital triage was set up, run, and experienced by patients, carers, and staff.
“Secondly, the study will analyse the impact of prehospital triage on healthcare services and patient outcomes. NHS England data will be studied to analyse whether introducing prehospital triage results in: more patients being taken to the right hospital service; more patients remaining at home and avoiding hospital admission; patients (stroke and non-stroke) getting the right care more quickly, and if there are any adverse effects of prehospital triage; and improving how well patients do after their stroke.
“Thirdly, the study will analyse whether prehospital video triage services are delivering good value for money to the NHS. Analyses will compare performance before and after prehospital triage was introduced. Analyses will also compare the areas that are using prehospital triage with other parts of England that are not currently using it.”
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care - Necessary to identify patients admitted with strokes and stroke mimic symptoms through ICD-10 diagnosis codes and to be able to obtain the overall length of stay for both subsets of patients
• Emergency Care Data Set (ECDS) - necessary to identify which patients went to an emergency department and whether they arrived by ambulance.
o UCL hopes to be able to identify patients with stroke mimic symptoms by identifying those who had an ECDS diagnosis of stroke but no longer a diagnosis of stroke once they were admitted as impatient (after linkage).
• Civil Registration Deaths data - necessary to obtain mortality data for both subsets of patients
The level of data will be pseudonymised.
The data for the cohort will be minimised as follows:
• Limited to data between April 2019 – 2023/24
• Limited to a study cohort identified by NHS England limited to conditions relevant to the study identified by specific diagnosis codes;
• Limited to individuals (in addition to meeting the diagnosis criteria above) who were aged 18 or over at the start of the episode.
• Limited to England - having a larger control group from the whole of England would provide a larger and more representative sample, thereby diluting the effects of potential contamination and heterogeneity in stroke services.
• Civil Registration Deaths will be restricted to individuals meeting the ECDS or HES APC criteria as specified above.
UCL is the research sponsor and the controller as the organisation 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.
The study has been funded by the National Institute of Health Research (NIHR) Health and Social Care Delivery Research programme and is specifically for the PHOTONIC study described.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Patients and the public were central to the study from the outset. The PPIE group includes two stroke survivors and a Stroke Association representative. The patient representatives provided detailed feedback on the wording and content of the research application. This included clarifying the language used in the plain English summary and research questions; patient representatives also influenced how the case for the research was presented (e.g identifying ways in which the research might benefit the NHS at system-level, and encouraging UCL to foreground the need for prompt, appropriate care for both stroke and non-stroke patients), the study design (e.g. helping us clarify the approach to conducting and analysing interviews), and knowledge mobilisation strategy (e.g. identifying several relevant dissemination opportunities).
The team incorporated this valuable feedback throughout. In addition, over the course of preparing this study the team consulted with other patient representatives of the South East Coast Ambluance Service (SECAmb) patient representative group, who confirmed that they are fully supportive of the purpose and approach of this work and have agreed to join the Study Steering Committee. The stroke survivor representatives are full members of the Study team. They will thus participate in the monthly team meetings and contribute to all aspects of the research that they wish to, e.g. research strategy, recruitment documents, interpretation of findings, co-authoring articles and summaries, and presenting at events
Processing activities
No data will flow to NHS England for the purposes of this agreement.
NHS England data will provide the relevant records from the HES APC, ECDS and Civil Registration Deaths datasets to UCL. The data will contain no direct identifying data items. The data will be pseudonymised and individuals cannot be reidentified through linkage with other data in the possession of the recipient. For the avoidance of doubt, the data from NHS England is not linked with any other data.
The data will not be transferred to any other location and will be stored on the servers at UCL in the Data Safe Haven. Amazon Web Services provides cloud hosting services to UCL and will store the data as contracted by UCL.
The data will be accessed onsite at the premises of UCL or by authorised personnel from the Institute of Epidemiology and Health Care at UCL via remote access.
The Controller 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).
The data will not leave England at any time.
Access is restricted to individuals within the Institute of Epidemiology and Health Care of UCL who have authorisation from the Principal Investigator of the PHOTONIC Study. All such individuals are substantive employees of UCL. All personnel accessing the data have been appropriately trained in data protection and confidentiality.
The ECDS and HES APC dataset extracts will be sent separately by NHS England to UCL and linked at the person record level using EPIKEY by authorised personnel at UCL.
The patients in these extracts are linked to Civil Registration (Deaths). UCL will receive the full Date of Death (DOD) and on receipt, UCL will derive 30-day and 90-day mortality indicators and destroy the full DOD.
The analysis will use various models to compare mortality, length of stay and discharge destination between patients in intervention and control areas. These results will feed into the health economic decision models.
There will be no requirement and no attempt to reidentify individuals when using the data. Researchers from the Institute of Epidemiology and Health Care at UCL will analyse the data for the purposes described above.
Expected output
5c. Specific Outputs Expected, Including Target Date:
The expected outputs of the processing will be:
• A final report of findings to key stakeholders (July 2024)
• Submissions to peer reviewed journals (Open access from July 2024)
The outputs will be communicated to relevant recipients through the following dissemination channels:
• A final report of findings to key stakeholders (July 2024)
• Submission to open access peer reviewed journals (Open access from July 2024)
• Presentations to conferences
• Accessible summaries
• Short films
• Slide sets
• PHOTONIC podcast series
• Webinars
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. Outputs from the analysis are expected July 2024.
UCL have presented preliminary results at UK Stroke Forum 2024 and have been accepted to present the quantitative results at International Health Economics Association Congress in July 2025 and European Health Economics Association PhD Conference in September 2025.
Expected measurable benefits
It is hoped the findings of this research study will influence UK national guidelines on the use of prehospital video triage for patients with stroke. UCL expect that intervention will improve patient transfer and care delivery, and consequently patient outcomes in terms of length of stay and mortality.
The use of the data could:
• Help the system to better understand the health and care needs of populations.
• Help inform health economic models which will generate incremental cost effectiveness rations (ICER) When judged against cost effectiveness thresholds, ICERs provide policymakers such as the National Institute for Health and Care Excellence (NICE) with information to inform the cost effectiveness of prehospital triage.
• Advance understanding of regional and national trends in health and social care needs.
If the intervention is found not to be effective and/or cost effective, the study will provide the intervention sites with justification to discontinue prehospital video triage for stroke patients. Time and resources can then be used more efficiently elsewhere.
Patients will benefit from findings as policymakers are better informed on the most effective form of emergency care stroke patients. It is crucial to identify whether prehospital video triage results in more efficient and timely care for patients since this will have a positive impact on patient outcomes for stroke patients, and free up resources for the treatment of other patients in the NHS.
The study’s results are of urgence as they will inform sites who are yet to roll out prehospital video triage, preventing them from potentially implementing an intervention which is not beneficial.
It is hoped that publication of findings will add to the body of evidence that is considered by those making decisions that affect patients and the public such as organisations setting policy and strategy or health and care professionals delivering individual care.
The results from this study will feed into a wider body of research exploring the use of prehospital video triage in stroke patients. A national pilot study will roll out trial periods of prehospital triage across England in 2023. This pilot is overseen by a group of individuals, of which two are the National Speciality Adviser and GIRFT National Clinical Lead for Stroke who are both members of the PHOTONIC team. There are therefore vital links in place to ensure the results of PHOTONIC reaches the relevant sites
Benefits reported so far
The datasets are still being analysed so there has not been any publications or benefits yielded yet.
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 - Secondary Care Cut | 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 | Non-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 13 files released under this agreement, across every version. About opt-outs
Files released against version 2.3 of this agreement, summarised by dataset.
| Dataset | Files | First released | Last released | Opt-outs applied |
|---|---|---|---|---|
| Emergency Care Data Set (ECDS) | 1 | July 2025 | July 2025 | No |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | 1 | July 2025 | July 2025 | No |
Version history
The register lists each renewal of this agreement as a separate row. This site has 3 versions.
DARS-NIC-680546-S0V4K-v2.3 13 June 2025 to 9 October 2026
- Title
- PreHOspital Triage for potential stroke patients: lessONs from systems Implemented in response to COVID19 (PHOTONIC)
- Commercial
- No
- Sublicensing
- No
- Datasets
- 3
- Files released
- 2
Datasets: Civil Registrations of Death - Secondary Care Cut; Emergency Care Data Set (ECDS); Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-680546-S0V4K-v1.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-06-13 | |
| End date | 2026-10-09 | |
| Civil Registrations of Death - Secondary Care Cut: common law duty of confidentiality | Does not include the flow of confidential data | |
| Emergency Care Data Set (ECDS): common law duty of confidentiality | Does not include the flow of confidential data | |
| Hospital Episode Statistics Admitted Patient Care (HES APC): common law duty of confidentiality | Does not include the flow of confidential data |
Objective for processing
[15 paragraphs unchanged]
• Limited to data between April 2019
–The latest month available
– 2023/24
[14 paragraphs unchanged]
Expected output
[14 paragraphs unchanged] UCL have presented preliminary results at UK Stroke Forum 2024 and have been accepted to present the quantitative results at International Health Economics Association Congress in July 2025 and European Health Economics Association PhD Conference in September 2025.
Benefits reported
Not stated in the previous version; added here.
The datasets are still being analysed so there has not been any publications or benefits yielded yet.
Unchanged: Processing activities, Expected measurable benefits.
DARS-NIC-680546-S0V4K-v1.2 9 February 2024 to 9 October 2025
- Title
- PreHOspital Triage for potential stroke patients: lessONs from systems Implemented in response to COVID19 (PHOTONIC)
- Commercial
- No
- Sublicensing
- No
- Datasets
- 3
- Files released
- 11
Datasets: Civil Registrations of Death - Secondary Care Cut; Emergency Care Data Set (ECDS); Hospital Episode Statistics Admitted Patient Care (HES APC)
What changed from DARS-NIC-680546-S0V4K-v0.3
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-02-09 | |
| Civil Registrations of Death - Secondary Care Cut: common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| Emergency Care Data Set (ECDS): common law duty of confidentiality | Statutory exemption to flow confidential data without consent | |
| Hospital Episode Statistics Admitted Patient Care (HES APC): common law duty of confidentiality | Statutory exemption to flow confidential data without consent |
Benefits reported
Stated in the previous version and removed here.
Yielded Benefits is not a requirement for new applications.
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits.
Objective for processing
University College London (UCL) requires access to NHS England data for the purpose of the PHOTONIC study.
The following is a summary of the aims of the research project provided by UCL:
“The PHOTONIC study aims to assess how prehospital triage for suspected stroke patients was set up, run and experienced by patients, carers and staff during the COVID-19 (Coronavirus Disease 2019) pandemic. It aims to provide robust evidence on how prehospital video triage affects patient outcomes and cost-effectiveness, with the results used to improve care for both stroke patients and patients displaying stroke symptoms (‘stroke mimics’) which were subsequently diagnosed not to be stroke.
“Some of the most common stroke mimics are seizures, migraine, fainting, serious infections and functional neurological disorder.
“The study will utilise four study areas (North Central London, East Kent, Maidstone, and Darent Valley) where prehospital video triage was implemented since 2020. Throughout the analysis intervention is introduced in different sites at different times and different individuals are in the analysis at each timepoint. This allows for the period before implementation in the intervention sites to act as a further control. The quantitative component of the study will assess how prehospital triage affects patient transfer, care delivery and patient outcomes for stroke patients and mimics using longitudinal data.
“Firstly, the study will analyse how prehospital triage was set up, run, and experienced by patients, carers, and staff.
“Secondly, the study will analyse the impact of prehospital triage on healthcare services and patient outcomes. NHS England data will be studied to analyse whether introducing prehospital triage results in: more patients being taken to the right hospital service; more patients remaining at home and avoiding hospital admission; patients (stroke and non-stroke) getting the right care more quickly, and if there are any adverse effects of prehospital triage; and improving how well patients do after their stroke.
“Thirdly, the study will analyse whether prehospital video triage services are delivering good value for money to the NHS. Analyses will compare performance before and after prehospital triage was introduced. Analyses will also compare the areas that are using prehospital triage with other parts of England that are not currently using it.”
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care - Necessary to identify patients admitted with strokes and stroke mimic symptoms through ICD-10 diagnosis codes and to be able to obtain the overall length of stay for both subsets of patients
• Emergency Care Data Set (ECDS) - necessary to identify which patients went to an emergency department and whether they arrived by ambulance.
o UCL hopes to be able to identify patients with stroke mimic symptoms by identifying those who had an ECDS diagnosis of stroke but no longer a diagnosis of stroke once they were admitted as impatient (after linkage).
• Civil Registration Deaths data - necessary to obtain mortality data for both subsets of patients
The level of data will be pseudonymised.
The data for the cohort will be minimised as follows:
• Limited to data between April 2019 –The latest month available
• Limited to a study cohort identified by NHS England limited to conditions relevant to the study identified by specific diagnosis codes;
• Limited to individuals (in addition to meeting the diagnosis criteria above) who were aged 18 or over at the start of the episode.
• Limited to England - having a larger control group from the whole of England would provide a larger and more representative sample, thereby diluting the effects of potential contamination and heterogeneity in stroke services.
• Civil Registration Deaths will be restricted to individuals meeting the ECDS or HES APC criteria as specified above.
UCL is the research sponsor and the controller as the organisation 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.
The study has been funded by the National Institute of Health Research (NIHR) Health and Social Care Delivery Research programme and is specifically for the PHOTONIC study described.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Patients and the public were central to the study from the outset. The PPIE group includes two stroke survivors and a Stroke Association representative. The patient representatives provided detailed feedback on the wording and content of the research application. This included clarifying the language used in the plain English summary and research questions; patient representatives also influenced how the case for the research was presented (e.g identifying ways in which the research might benefit the NHS at system-level, and encouraging UCL to foreground the need for prompt, appropriate care for both stroke and non-stroke patients), the study design (e.g. helping us clarify the approach to conducting and analysing interviews), and knowledge mobilisation strategy (e.g. identifying several relevant dissemination opportunities).
The team incorporated this valuable feedback throughout. In addition, over the course of preparing this study the team consulted with other patient representatives of the South East Coast Ambluance Service (SECAmb) patient representative group, who confirmed that they are fully supportive of the purpose and approach of this work and have agreed to join the Study Steering Committee. The stroke survivor representatives are full members of the Study team. They will thus participate in the monthly team meetings and contribute to all aspects of the research that they wish to, e.g. research strategy, recruitment documents, interpretation of findings, co-authoring articles and summaries, and presenting at events
Expected output
5c. Specific Outputs Expected, Including Target Date:
The expected outputs of the processing will be:
• A final report of findings to key stakeholders (July 2024)
• Submissions to peer reviewed journals (Open access from July 2024)
The outputs will be communicated to relevant recipients through the following dissemination channels:
• A final report of findings to key stakeholders (July 2024)
• Submission to open access peer reviewed journals (Open access from July 2024)
• Presentations to conferences
• Accessible summaries
• Short films
• Slide sets
• PHOTONIC podcast series
• Webinars
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. Outputs from the analysis are expected July 2024.
DARS-NIC-680546-S0V4K-v0.3 10 October 2023 to 9 October 2025
- Title
- PreHOspital Triage for potential stroke patients: lessONs from systems Implemented in response to COVID19 (PHOTONIC)
- Commercial
- No
- Sublicensing
- No
- Datasets
- 3
- Files released
- 0
Datasets: Civil Registrations of Death - Secondary Care Cut; Emergency Care Data Set (ECDS); Hospital Episode Statistics Admitted Patient Care (HES APC)
Objective for processing
University College London (UCL) requires access to NHS England data for the purpose of the PHOTONIC study.
The following is a summary of the aims of the research project provided by UCL:
“The PHOTONIC study aims to assess how prehospital triage for suspected stroke patients was set up, run and experienced by patients, carers and staff during the COVID-19 (Coronavirus Disease 2019) pandemic. It aims to provide robust evidence on how prehospital video triage affects patient outcomes and cost-effectiveness, with the results used to improve care for both stroke patients and patients displaying stroke symptoms (‘stroke mimics’) which were subsequently diagnosed not to be stroke.
“Some of the most common stroke mimics are seizures, migraine, fainting, serious infections and functional neurological disorder.
“The study will utilise four study areas (North Central London, East Kent, Maidstone, and Darent Valley) where prehospital video triage was implemented since 2020. Throughout the analysis intervention is introduced in different sites at different times and different individuals are in the analysis at each timepoint. This allows for the period before implementation in the intervention sites to act as a further control. The quantitative component of the study will assess how prehospital triage affects patient transfer, care delivery and patient outcomes for stroke patients and mimics using longitudinal data.
“Firstly, the study will analyse how prehospital triage was set up, run, and experienced by patients, carers, and staff.
“Secondly, the study will analyse the impact of prehospital triage on healthcare services and patient outcomes. NHS England data will be studied to analyse whether introducing prehospital triage results in: more patients being taken to the right hospital service; more patients remaining at home and avoiding hospital admission; patients (stroke and non-stroke) getting the right care more quickly, and if there are any adverse effects of prehospital triage; and improving how well patients do after their stroke.
“Thirdly, the study will analyse whether prehospital video triage services are delivering good value for money to the NHS. Analyses will compare performance before and after prehospital triage was introduced. Analyses will also compare the areas that are using prehospital triage with other parts of England that are not currently using it.”
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care - Necessary to identify patients admitted with strokes and stroke mimic symptoms through ICD-10 diagnosis codes and to be able to obtain the overall length of stay for both subsets of patients
• Emergency Care Data Set (ECDS) - necessary to identify which patients went to an emergency department and whether they arrived by ambulance.
o UCL hopes to be able to identify patients with stroke mimic symptoms by identifying those who had an ECDS diagnosis of stroke but no longer a diagnosis of stroke once they were admitted as impatient (after linkage).
• Civil Registration Deaths data - necessary to obtain mortality data for both subsets of patients
The level of data will be pseudonymised.
The data for the cohort will be minimised as follows:
• Limited to data between April 2019 –The latest month available
• Limited to a study cohort identified by NHS England limited to conditions relevant to the study identified by specific diagnosis codes;
• Limited to individuals (in addition to meeting the diagnosis criteria above) who were aged 18 or over at the start of the episode.
• Limited to England - having a larger control group from the whole of England would provide a larger and more representative sample, thereby diluting the effects of potential contamination and heterogeneity in stroke services.
• Civil Registration Deaths will be restricted to individuals meeting the ECDS or HES APC criteria as specified above.
UCL is the research sponsor and the controller as the organisation 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.
The study has been funded by the National Institute of Health Research (NIHR) Health and Social Care Delivery Research programme and is specifically for the PHOTONIC study described.
Amazon Web Services (AWS) is a processor acting under the instructions of UCL. AWS’ role is limited to secure backup of data stored in UCL’s Data Safe Haven.
UCL uses offsite data centre services provided by VIRTUS data centre. VIRTUS does not have access to the data.
Patients and the public were central to the study from the outset. The PPIE group includes two stroke survivors and a Stroke Association representative. The patient representatives provided detailed feedback on the wording and content of the research application. This included clarifying the language used in the plain English summary and research questions; patient representatives also influenced how the case for the research was presented (e.g identifying ways in which the research might benefit the NHS at system-level, and encouraging UCL to foreground the need for prompt, appropriate care for both stroke and non-stroke patients), the study design (e.g. helping us clarify the approach to conducting and analysing interviews), and knowledge mobilisation strategy (e.g. identifying several relevant dissemination opportunities).
The team incorporated this valuable feedback throughout. In addition, over the course of preparing this study the team consulted with other patient representatives of the South East Coast Ambluance Service (SECAmb) patient representative group, who confirmed that they are fully supportive of the purpose and approach of this work and have agreed to join the Study Steering Committee. The stroke survivor representatives are full members of the Study team. They will thus participate in the monthly team meetings and contribute to all aspects of the research that they wish to, e.g. research strategy, recruitment documents, interpretation of findings, co-authoring articles and summaries, and presenting at events
Expected output
5c. Specific Outputs Expected, Including Target Date:
The expected outputs of the processing will be:
• A final report of findings to key stakeholders (July 2024)
• Submissions to peer reviewed journals (Open access from July 2024)
The outputs will be communicated to relevant recipients through the following dissemination channels:
• A final report of findings to key stakeholders (July 2024)
• Submission to open access peer reviewed journals (Open access from July 2024)
• Presentations to conferences
• Accessible summaries
• Short films
• Slide sets
• PHOTONIC podcast series
• Webinars
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. Outputs from the analysis are expected July 2024.
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.
-
November 2023 —
first listed. 1 version: DARS-NIC-680546-S0V4K-v0.3
-
March 2024
1 version added: DARS-NIC-680546-S0V4K-v1.2
-
July 2025
1 version added: DARS-NIC-680546-S0V4K-v2.3
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-680546-S0V4K, “PreHOspital Triage for potential stroke patients: lessONs from systems Implemented in response to COVID19 (PHOTONIC)”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-680546-s0v4k/ (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-680546-S0V4K to see the original rows.