NHS Digital Data Release Register - reformatted
NHS Greater Manchester Integrated Care Board projects
8 data files in total were disseminated unsafely (information about files used safely is missing for TRE/"system access" projects).
DSfC - NHS Greater Manchester Integrated Care Board - Comm/IV/RS — DARS-NIC-616054-M4C8K
Type of data: information not disclosed for TRE projects
Opt outs honoured: Anonymised - ICO Code Compliant, Identifiable (Mixture of confidential data flow(s) with support under section 251 NHS Act 2006 and non-confidential data flow(s))
Legal basis: Health and Social Care Act 2012 - s261(5)(d), Health and Social Care Act 2012 s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Purposes: No (ICB - Integrated Care Board)
When:DSA runs 2022-11-18 — 2025-11-17
Access method: Frequent Adhoc Flow
Data-controller type: NHS GREATER MANCHESTER INTEGRATED CARE BOARD
Sublicensing allowed: Yes
- Commissioning Datasets
- Invoice Validation Datasets
- Risk Stratification Datasets
The invoice validation process supports the ongoing delivery of patient care across the NHS and the ICB region by:
1. Ensuring that activity is fully financially validated.
2. Ensuring that service providers are accurately paid for the patients treatment.
3. Enabling services to be planned, commissioned, managed, and subjected to financial control.
4. Enabling commissioners to confirm that they are paying appropriately for treatment of patients for whom they are responsible.
5. Fulfilling commissioners duties to fiscal probity and scrutiny.
6. Ensuring full financial accountability for relevant organisations.
7. Ensuring robust commissioning and performance management.
8. Ensuring commissioning objectives do not compromise patient confidentiality.
9. Ensuring the avoidance of misappropriation of public funds.
Risk stratification promotes improved case management in primary care and may lead to the following benefits being realised:
1. Improved planning by better understanding patient flows through the healthcare system, thus allowing commissioners to design appropriate pathways to improve patient flow and allowing commissioners to identify priorities and identify plans to address these.
2. Reduce emergency readmissions, especially avoidable emergency admissions by improving quality of services. This is achieved through mapping of frequent users of emergency services thus allowing early intervention.
3. Improved access to services by identifying which services may be in demand but have poor access, and from this identify areas where improvement is required.
4. Supports the commissioner to meets its requirement to reduce premature mortality in line with the ICB Outcome Framework by allowing for more targeted intervention in primary care.
5. Better understanding of local population characteristics through analysis of their health and healthcare outcomes.
All of the above lead to improved patient experience and health outcomes through more effective commissioning of services.
1. Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management, integrated care and pathways.
2. Supporting Joint Strategic Needs Assessment (JSNA) for specific disease types.
3. Health economic modelling to analyse provider performance and patient pathways.
4. Commissioning cycle support for grouping and re-costing previous activity.
5. Enables monitoring of commissioned services to ensure they are performing as expected.
6. Improved planning by better understanding patient flows through the healthcare system, thus allowing commissioners to identify priorities and identify commissioning plans to address these (pathways would be designed by service providers within the ICS with input from appropriate stakeholders including patient and public representation).
7. Reduced emergency readmissions, especially avoidable emergency admissions leading to improved quality of services. This is achieved through mapping of frequent users of emergency services and early intervention of appropriate care.
8. Improved access to services by identifying which services may be in demand but have poor access, and from this identify areas where improvement is required.
9. Potentially reduced premature mortality by more targeted intervention in primary care, which supports the commissioner to meets its requirement to reduce premature mortality in line with the ICB Outcome Framework.
10. Better understanding of the health of and the variations in health outcomes within the population to help understand local population characteristics.
11. Better understanding of contract requirements, contract execution, and required services for management of existing contracts, and to assist with identification and planning of future contracts.
12. Insights into patient outcomes, and identification of the possible efficacy of outcomes-based contracting opportunities.
13. Providing greater understanding of the underlying causes and look to commission improved supportive networks, this would be ongoing work which would be continually assessed.
14. Insight to understand the numerous factors that play a role in the outcome for patients in all datasets. The linkage allows the reporting both prior to, during and after the activity, to provide greater assurance on predictive outcomes and delivery of best practice.
15. Provision of indicators of health problems, and patterns of risk within the commissioning region.
16. Support of benchmarking for evaluating progress in future years.
17. Assists commissioners to make better decisions to support patients and drive changes in health care.
18. Allows comparisons of providers performance to assist improvement in services increase the quality.
19. Allow analysis of health care provision to be completed to support the needs of the health profile of the population within the ICB area based on the full analysis of multiple pseudonymised datasets.
20. To evaluate the impact of new services and innovations (e.g. if commissioners implement a new service or type of procedure with a provider, they can evaluate whether it improves outcomes for patients compared to the previous one).
1. Enables clinical intervention to prevent worse outcomes, such as A&E attendance.
2. Allows the ICB to perform their statutory duty to protect patients.
3. Allows clinicians with direct care responsibilities to improve quality of care for patients identified. This may reduce the risk of unwanted emergency hospital admission, premature complications of disease and of premature death.
1. Accurate budget reports.
2. Enable a system of communication that will enable the ICB to challenge invoices and raise discrepancies and disputes.
3. Reports on the accuracy of invoices.
4. Validation of invoices for non-contracted events where a service delivered to a patient by a provider that does not have a written contract with the patients responsible commissioner, but does have a written contract with another NHS commissioner/s.
5. Budget control of the ICB.
1. As part of the risk stratification processing activity detailed above, GPs have access to the risk stratification tool which highlights patients for whom the GP is responsible and have been classed as at risk. The only identifier available to GPs is the NHS numbers of their own patients. Any further identification of the patients will be completed by the GP on their own systems.
2. GP Practices will be able to view the risk scores for individual patients with the ability to display the underlying SUS+ data for the individual patients when it is required for direct care purposes by someone who has a legitimate relationship with the patient.
The ICB will be provided with the pseudonymised outputs of the risk stratification tool for which they are able to:
1. Identify patient groups at risk of deterioration and providing effective care.
2. Set up capitated budgets budgets based on care provided to the specific population.
3. Identify health determinants of risk of admission to hospital, or other adverse care outcomes.
4. Monitor vulnerable groups of patients including but not limited to frailty, COPD, Diabetes, elderly.
5. Health needs assessments identifying numbers of patients with specific health conditions or combination of conditions.
6. Classify vulnerable groups based on: disease profiles; conditions currently being treated; current service use; pharmacy use and risk of future overall cost.
7. Production of Theographs a visual timeline of a patients encounters with hospital providers.
8. Analyse based on specific diseases.
9. Aggregate reporting of number and percentage of population found to be at risk.
1. Commissioner reporting on providers, finances, readmission analysis etc
2. Production of aggregate reports for ICB Business Intelligence.
3. Production of project / programme level dashboards.
4. Monitoring of acute / community / mental health quality matrix.
5. Clinical coding reviews / audits.
6. Budget reporting down to individual GP Practice level.
7. GP Practice level dashboard reports.
8. Comparators of ICB performance with similar ICBs as set out by a specific range of care quality and performance measures detailed activity and cost reports.
9. Data Quality and Validation measures allowing data quality checks on the submitted data.
10. Contract Management and Modelling.
11. Patient Stratification dashboards to highlight cohorts of patients with similar conditions at risk.
12. Manage demand, by understanding the quantity of assessments required ICBs are able to improve the care service for patients by predicting the impact on certain care pathways and ensure the secondary care system has enough capacity to manage the demand.
13. Identify low priority procedures which could be directed to community-based alternatives and as such commission these services and deflect referrals for low priority procedures resulting in a reduction in hospital referrals.
14. Compare providers (trusts) mortality outcomes to the national baseline.
15. Identify medication prescribing trends and their effectiveness.
16. Linking prescribing habits to entry points into the health and social care system.
17. Identify, quantify and understand cohorts of patients high numbers of different medications (polypharmacy).
18. Feedback to NHS service providers on data quality at an aggregate and individual record level only on data initially provided by the service providers.
1. Reports and dashboards that highlight cohorts of patients that can be targeted for clinical intervention by direct health and care professionals.
2. Lists of at risk patients made available to direct health and care professionals that require direct care intervention.
3. Reports and dashboards to show the outcome of clinical intervention including patient outcomes and modelled transactional cost savings.
DSfC - STP 31 CCGs Comm — DARS-NIC-193456-W3M0H
Type of data: information not disclosed for TRE projects
Opt outs honoured: No - data flow is not identifiable, Anonymised - ICO Code Compliant (Does not include the flow of confidential data)
Legal basis: Health and Social Care Act 2012 – s261(1) and s261(2)(b)(ii), Health and Social Care Act 2012 s261(1) and s261(2)(b)(ii), Health and Social Care Act 2012 s261(2)(b)(ii), Health and Social Care Act 2012 - s261 - 'Other dissemination of information', Health and Social Care Act 2012 - s261(5)(d)
Purposes: No (Clinical Commissioning Group (CCG), Sub ICB Location, ICB - Integrated Care Board)
When:DSA runs 2019-06-04 — 2022-06-03 2019.01 — 2021.05.
Access method: Frequent Adhoc Flow, One-Off
Data-controller type: NHS BLACKBURN WITH DARWEN CCG, NHS BLACKPOOL CCG, NHS BOLTON CCG, NHS BURY CCG, NHS CHESHIRE CCG, NHS CHORLEY AND SOUTH RIBBLE CCG, NHS EAST LANCASHIRE CCG, NHS FYLDE AND WYRE CCG, NHS GREATER PRESTON CCG, NHS HALTON CCG, NHS HEYWOOD, MIDDLETON AND ROCHDALE CCG, NHS KNOWSLEY CCG, NHS LIVERPOOL CCG, NHS MANCHESTER CCG, NHS MORECAMBE BAY CCG, NHS NORTH CUMBRIA CCG, NHS OLDHAM CCG, NHS SALFORD CCG, NHS SOUTH SEFTON CCG, NHS SOUTHPORT AND FORMBY CCG, NHS ST HELENS CCG, NHS STOCKPORT CCG, NHS TAMESIDE AND GLOSSOP CCG, NHS TRAFFORD CCG, NHS WARRINGTON CCG, NHS WEST LANCASHIRE CCG, NHS WIGAN BOROUGH CCG, NHS WIRRAL CCG, NHS CHESHIRE AND MERSEYSIDE ICB - 01F, NHS CHESHIRE AND MERSEYSIDE ICB - 01J, NHS CHESHIRE AND MERSEYSIDE ICB - 01T, NHS CHESHIRE AND MERSEYSIDE ICB - 01V, NHS CHESHIRE AND MERSEYSIDE ICB - 01X, NHS CHESHIRE AND MERSEYSIDE ICB - 02E, NHS CHESHIRE AND MERSEYSIDE ICB - 12F, NHS CHESHIRE AND MERSEYSIDE ICB - 27D, NHS CHESHIRE AND MERSEYSIDE ICB - 99A, NHS GREATER MANCHESTER ICB - 00T, NHS GREATER MANCHESTER ICB - 00V, NHS GREATER MANCHESTER ICB - 00Y, NHS GREATER MANCHESTER ICB - 01D, NHS GREATER MANCHESTER ICB - 01G, NHS GREATER MANCHESTER ICB - 01W, NHS GREATER MANCHESTER ICB - 01Y, NHS GREATER MANCHESTER ICB - 02A, NHS GREATER MANCHESTER ICB - 02H, NHS GREATER MANCHESTER ICB - 14L, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 00Q, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 00R, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 00X, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 01A, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 01E, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 01K, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 02G, NHS LANCASHIRE AND SOUTH CUMBRIA ICB - 02M, NHS NORTH EAST AND NORTH CUMBRIA ICB - 01H, NHS CHESHIRE AND MERSEYSIDE INTEGRATED CARE BOARD, NHS GREATER MANCHESTER INTEGRATED CARE BOARD, NHS LANCASHIRE AND SOUTH CUMBRIA INTEGRATED CARE BOARD, NHS NORTH EAST AND NORTH CUMBRIA INTEGRATED CARE BOARD
Sublicensing allowed: No
- Acute-Local Provider Flows
- SUS for Commissioners
- Civil Registration - Deaths
- Civil Registrations of Death
To use pseudonymised data to provide intelligence to support the commissioning of health services. The data (containing both clinical and financial information) is analysed so that health care provision can be planned to support the needs of the population within the North West region, detailed within the data minimisation.
The following pseudonymised datasets are required to provide intelligence to support commissioning of health services:
- Secondary Uses Service (SUS+)
- Local Provider Flows
The pseudonymised data is required to for the following purposes:
Population health management:
• Understanding the interdependency of care services
• Targeting care more effectively
• Using value as the redesign principle
• Ensuring we do what we should
Data Quality and Validation – allowing data quality checks on the submitted data
Thoroughly investigating the needs of the population, to ensure the right services are available for individuals when and where they need them
Understanding cohorts of residents who are at risk of becoming users of some of the more expensive services, to better understand and manage those needs
Monitoring population health and care interactions to understand where people may slip through the net, or where the provision of care may be being duplicated
Modelling activity across all data sets to understand how services interact with each other, and to understand how changes in one service may affect flows through another
Health Needs Assessment – identification of underlying disease prevalence within the local population
Patient stratification and predictive modelling - to identify specific patients at risk of requiring hospital admission and other avoidable factors such as risk of falls, computed using algorithms executed against linked de-identified data, and identification of future service delivery models
Processing for commissioning will be conducted by Arden and GEM Commissioning Support Unit
Salford Royal NHS Foundation Trust in their capacity as Data Processor will, in addition, utilise internal teams as follows:
Advancing Quality Alliance (AQuA) provide support for a range of quality improvement programmes across regions of CCGs, (listed within the Data Sharing Agreement), undertaking analyses and producing aggregate reports for the CCGs. AQuA includes the NW Advancing Quality (AQ) Programme, which was set up to help drive quality improvements across the region. The AQ programme focusses on several clinical focus areas which affect many patients in the region. These evidence based clinical focus areas fall into categories such as cardiac conditions, orthopaedics (for example Hip and Knee replacement surgery) and respiratory conditions.
The overarching aim of the AQ programme is to identify if specific treatment pathways commissioned by CCGs and delivered by the trusts are meeting recommended guidelines for quality, and through working with the trusts and CCGs, improving the performance of the pathways and ensuring patients get the most appropriate treatment for their condition regardless of which hospital they are treated in.
To enable them to undertake this work, AQuA requires pseudonymised SUS data and local provider flows which have been specified for the AQ Programme.
- Secondary Uses Service (SUS)
- Local Provider Flows
The expected benefits have all been yielded. There is robust evidence that the impact of the this work has a very positive impact on reducing mortality.
The following measurable benefits are expected through each team:
The AQ Programme is a Quality Improvement and Audit programme that identifies a set of robust, evidence based clinical quality measures for given focus areas. The measures represent a standard clinical practice that providers agree patients in the relevant cohort should receive. AQ are currently working with 8 clinical focus areas and each focus area has between 5 and 10 clinical measures.
Each measure would have a beneficial outcome. An evaluation of the early AQ programme evidenced that the pneumonia measures reduced mortality within the Northwest region (N Engl J Med 2012; 367:1821-8). Not all measures have such dramatic outcomes; some measures may improve diagnostic speed or improve patient education. All the measures are directed at ensuring consistency of care, improving implementation of care year on year, and reducing inequality of care from trust to trust.
The detailed information collected can be used to identify areas where care may fall short within a pathway or amongst trusts and be used as the basis for quality improvement. For example, it was identified through analysis of the data that one NW trust was consistently missing the delivery of antibiotics within 4 hours. The ‘CFA audit data’ was used as the basis to review cases and map the processes, and identify the gaps. The trust identified that prescriptions were being written in A&E, but the dosage was not being delivered in A&E. The process was then updated to ensure that the dosage would be delivered before the patients left the A&E for the ward.
Once care has been improved across the region within a clinical focus area and new processes are established, AQ can replace a CFA and work on establishing improvements in new areas.
Ongoing benefits for the CCGs therefore include ensuring equitable standards of care for their patients. In addition, the AQ programme delivers impartial monitoring of standard quality measures that are consistently delivered across annual periods showing year on year improvement and adherence to robust clinical standards. AQ continues to build on current progress with its underpinning values of detailed and evidence-based pathways, strong clinical guidance, peer level networking and support underpinned by excellent data collection with regular robust reporting.
The following outputs are expected through each team:
AQuA will use the data to produce a range of reports that will be made available to both commissioners and providers, with specific attention on the clinical focus areas (CFA). All reports will be at an aggregate level and examples include;
1) Monthly coding quality reports to evaluate the completeness of diagnostic coding in the SUS data. The purpose of this report is to ensure that the source data is fit-for-purpose to create the AQ Clinical Focus Area (CFA) populations accurately.
2) Monthly benchmarking reports reporting on the data collection quality of the AQ data. The purpose of this report is to ensure that provider trusts are collecting suitable information in their local data for the identified AQ populations.
3) Monthly benchmarking reports using the collected local CFA data to evaluate the delivery of the AQ CFA measures. The purpose of this report is to allow the provider trusts and CCGs to see the percentage of the AQ population receiving each AQ measure within each trust and compare the performance to other participating trusts.
4) Bi-annual public reports/summary benchmarking reports will be published on the Advancing Quality Alliance website.
Data must only be used as stipulated within this Data Sharing Agreement.
Data Processors must only act upon specific instructions from the Data Controller.
The Data Controller and any Data Processor will only have access to records of patients of residence and registration within the CCGs as follows:
NHS Bolton CCG
NHS Bury CCG
NHS Heywood, Middleton and Rochdale CCG
NHS Manchester CCG
NHS Oldham CCG
NHS Salford CCG
NHS Stockport CCG
NHS Tameside & Glossop CCG
NHS Trafford CCG
NHS Wigan CCG
NHS Eastern Cheshire CCG
NHS Halton CCG
NHS Knowsley CCG
NHS Liverpool CCG
NHS South Cheshire CCG
NHS South Sefton CCG
NHS Southport & Formby CCG
NHS St Helens CCG
NHS Vale Royal CCG
NHS Warrington CCG
NHS West Cheshire CCG
NHS Wirral CCG
NHS Blackburn & Darwin CCG
NHS Blackpool CCG
NHS Chorley & South Ribble CCG
NHS East Lancashire CCG
NHS Fylde & Wyre CCG
NHS Greater Preston CCG
NHS Morecambe Bay CCG
NHS West Lancashire CCG
NHS North Cumbria CCG
Data can only be stored at the addresses listed under storage addresses.
Patient level data will not be shared outside of the CCG unless it is for the purpose of Direct Care, where it may be shared only with those health professionals who have a legitimate relationship with the patient and a legitimate reason to access the data.
All access to data is managed under Roles-Based Access Controls
No patient level data will be linked other than as specifically detailed within this agreement. Data will only be shared with those parties listed and will only be used for the purposes laid out in the application/agreement. The data to be released from NHS Digital will not be national data, but only that data relating to the specific locality and that data required by the applicant.
NHS Digital reminds all organisations party to this agreement of the need to comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by “Personnel” (as defined within the Data Sharing Framework Contract ie: employees, agents and contractors of the Data Recipient who may have access to that data)
Where the Data Processor and/or the Data Controller hold both identifiable and pseudonymised data, the data will be held separately so data cannot be linked.
All access to data is auditable by NHS Digital.
Data Minimisation in relation to the data sets listed within section 3 are listed below. This also includes the purpose on which they would be applied -
For the purpose of Commissioning:
• Patients who are normally registered and/or resident within the commissioner (including historical activity where the patient was previously registered or resident in another commissioner).
• Patients treated by a provider where the commissioner is the host/co-ordinating commissioner and/or has the primary responsibility for the provider services in the local health economy – this only relates to both national and local flows.
• Activity identified by the provider and recorded as such within national systems (such as SUS+) as for the attention of the commissioner - this only relates to both national and local flows.
The above relates to data requested only (Table 3B). :
• CCGs of residence and/or registration.
For clarity, any access by Ilkeston Community Hospital to data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
2. Local Provider Flows (received directly from providers)
Data quality management and pseudonymisation is completed within the DSCRO and is then disseminated as follows:
1. Pseudonymised SUS+ and Local Provider data only is securely transferred from the DSCRO to Arden and Greater East Midlands Commissioning Support Unit.
2. Arden and Greater East Midlands Commissioning Support Unit add further derived fields and perform additional checks for data quality issues such as local duplication of records, or adjustments for known data recording issues, and prepare the data for further use.
3. Allowed linkage is between the data sets contained within point 1.
4. Arden and Greater East Midlands Commissioning Support Unit then pass the processed, pseudonymised and linked data to Salford Royal NHS Foundation Trust.
5. Salford Royal NHS Foundation Trust analyse the data to:
a. See patient journeys for pathways or service design, re-design and de-commissioning.
b. Check recorded activity against contracts or invoices and facilitate discussions with providers.
c. Undertake population health management
d. Undertake data quality and validation checks
e. Thoroughly investigate the needs of the population
f. Understand cohorts of residents who are at risk
g. Conduct Health Needs Assessments
6. Data is accessed by two teams within Salford Royal NHS Foundation Trust:
- Advancing Quality Alliance (AQuA)
7. Access is via team specific role-based access only and is specific to each team as:
- Advancing Quality Alliance (AQuA) team members have access to SUS+ and local provider flow data only.
8. Aggregation of the data will be completed by Arden and Greater East Midlands Commissioning Support Unit.or (Advancing Quality Alliance (AQuA) within Salford Royal NHS Foundation Trust.
9. Patient level data will not be shared outside of (Advancing Quality Alliance (AQuA) within Salford Royal NHS Foundation Trust and will only be shared within the individual teams on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression will be shared with the 31 CCGs listed in line with NHS Digital guidance applicable to each data set.