DSfC - Suffolk and North East Essex - Comm
NHS Suffolk and North East Essex ICB · Sub ICB Location
Listed under NHS Norfolk and Suffolk Integrated Care Board.
Expired The latest version ended on 14 October 2023. The September 2026 register still lists the agreement, but its term has passed.
- Reference
- DARS-NIC-192767-R0S9V
- Latest version
- v3.2
- Term of latest version
- 15 October 2020 to 14 October 2023
- Start date
- Before 1 May 2019
- Data controller
- Joint Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 0
Data controllers
- NHS Suffolk and North East Essex ICB (named in the register 2 times, as different sub-ICB locations)
- NHS Suffolk and North East Essex ICB
Why the data was released
Objective for processing
Commissioning
NHS West Suffolk, NHS Ipswich and East Suffolk and NHS North East Essex CCG work jointly across the region to fulfil their commissioning functions. The CCGs will work proactively and collaboratively with each other to redesign services across boundaries to integrate services.
The CCGs will 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 geographical region.
The CCGs commission services from a range of providers covering a wide array of services. Each of the data flow categories requested supports the commissioned activity of one or more providers.
The following pseudonymised data sets are required to provide intelligence to support commissioning of health services:
- Secondary Uses Service (SUS+)
- Local Provider Flows
o Acute
o Ambulance
o Community
o Demand for Service
o Diagnostic Service
o Emergency Care
o Experience, Quality and Outcomes
o Mental Health
o Other Not Elsewhere Classified
o Population Data
o Primary Care Services
o Public Health Screening
- Mental Health Minimum Data Set (MHMDS)
- Mental Health Learning Disability Data Set (MHLDDS)
- Mental Health Services Data Set (MHSDS)
- Maternity Services Data Set (MSDS)
- Improving Access to Psychological Therapy (IAPT)
- Child and Young People Health Service (CYPHS)
- Community Services Data Set (CSDS)
- Diagnostic Imaging Data Set (DIDS)
- National Cancer Waiting Times Monitoring Data Set (CWT)
- Civil Registries Data (CRD) - Births
- Civil Registries Data (CRD) - Deaths
- e-Referral Service (eRS)
- Personal Demographics Service (PDS)
- Summary Hospital-level Mortality Indicator (SHMI)
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
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
Service redesign
Health Needs Assessment – identification of underlying disease prevalence within the local population
Patient stratification and predictive modelling - to highlights cohorts of 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
Demand Management - to improve the care service for patients by predicting the impact on certain care pathways and support the secondary care system in ensuring enough capacity to manage the demand.
Support measuring the health, mortality or care needs of the total local population
The pseudonymised data is required to ensure that analysis of health care provision can be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
Processing for commissioning will be conducted by North of England Commissioning Support Unit and Optum Health Solutions UK ltd.
Processing activities
Data must only be used for the purposes stipulated within this Data Sharing Agreement. Any additional disclosure / publication will require further approval from NHS Digital.
Data Processors must only act upon specific instructions from the Data Controller.
Data can only be stored at the addresses listed under storage addresses.
All access to data is managed under Role-Based Access Controls. Users can only access data authorised by their role.
Patient level data will not be linked other than as specifically detailed within this Data Sharing Agreement. Data released 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.
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)
Onward Sharing
Identifiable patient level data will not be shared outside of the CCGs 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.
Aggregated reports only with small number suppression can be shared externally as set out within NHS Digital guidance applicable to each data set.
Segregation
Where the Data Processor and/or the Data Controller hold both identifiable and pseudonymised data, the data will be held separately so data cannot be linked.
All access to data is auditable by NHS Digital.
Data Minimisation
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 NHS Ipswich & East Suffolk, NHS North East Essex, and NHS West Suffolk CCGs (including historical activity where the patient was previously registered or resident in another commissioner).
and/or
• Patients treated by a provider where NHS Ipswich & East Suffolk, NHS North East Essex, and NHS West Suffolk CCGs are the host/co-ordinating commissioner and/or have the primary responsibility for the provider services in the local health economy – this is only for commissioning and relates to both national and local flows.
and/or
• Activity identified by the provider and recorded as such within national systems (such as SUS+) as for the attention of NHS Ipswich & East Suffolk, NHS North East Essex, and NHS West Suffolk CCGs - this is only for commissioning and relates to both national and local flows.
Pulsant and IT Professional Services Ltd do not access data held under this agreement as they only supply the building. Therefore, any access to the 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.
Microsoft Limited and Amazon Web Services provide cloud services for Optum Health Solutions (UK) Limited and are therefore listed as processors. They supply support to the system, but do not access data. Therefore, any access to the 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.
Commissioning
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
1. SUS+
2. Local Provider Flows (received directly from providers)
a. Acute
b. Ambulance
c. Community
d. Demand for Service
e. Diagnostic Service
f. Emergency Care
g. Experience, Quality and Outcomes
h. Mental Health
i. Other Not Elsewhere Classified
j. Population Data
k. Primary Care Services
l. Public Health Screening
3. Mental Health Minimum Data Set (MHMDS)
4. Mental Health Learning Disability Data Set (MHLDDS)
5. Mental Health Services Data Set (MHSDS)
6. Maternity Services Data Set (MSDS)
7. Improving Access to Psychological Therapy (IAPT)
8. Child and Young People Health Service (CYPHS)
9. Community Services Data Set (CSDS)
10. Diagnostic Imaging Data Set (DIDS)
11. National Cancer Waiting Times Monitoring Data Set (CWT)
12. Civil Registrations Data Sets (Births and Deaths)
13. National Diabetes Audit (NDA)
14. Patient Reported Outcomes Monitoring (PROMS)
16. e-Referral Service (eRS)
17. Personal Demographics Service (PDS)
18. Summary Hospital-level Mortality Indicator (SHMI)
Data quality management and pseudonymisation is completed within the DSCRO and is then disseminated as follows:
1. Pseudonymised SUS+, Local Provider data, Mental Health data (MHSDS, MHMDS, MHLDDS), Maternity data (MSDS), Improving Access to Psychological Therapies data (IAPT), Child and Young People’s Health data (CYPHS), Community Services Data Set (CSDS). Diagnostic Imaging data (DIDS), National Cancer Waiting Times Monitoring Data Set (CWT), Civil Registries Data (CRD) (Births and Deaths), Patient Reported Outcome Measures (PROMs) and National Diabetes Audit (NDA),e-Referral Service (eRS), Personal Demographics Service (PDS) and Summary Hospital-level Mortality Indicator (SHMI) data only is securely transferred to North of England Commissioning Support Unit.
2. North of England Commissioning Support Unit receive GP data (as points i-x)
3. North of England Commissioning Support Unit receive social care data (as points xi-xvii)
4. Data listed within point 1 is then linked to the pseudonymised GP data and social care data only and analysis is provided 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
5. North of England Commissioning Support Unit then pass the processed, pseudonymised and linked data to the CCGs.
6. North of England Commissioning Support Unit also pass SUS, Local Provider Flows, MHMDS, MHLDDS, MHSDS, IAPT, CYPHS, CSDS and GP data to Optum Health Solutions (UK) Ltd.
7. Optum Health Solutions (UK) Ltd undertake analysis to support the CCGs conduct population health management.
8. Aggregation of required data for CCG management use will be instructed by the CCGs and completed by North of England Commissioning Support Unit, Optum Health Solutions (UK) Ltd or the CCGs.
9. Patient level data will not be shared outside of the CCGs, other than with their member GP Practices for each Practices own patients only and will only be shared within the CCGs on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression can be shared as set out within NHS Digital guidance applicable to each data set.
GP Data:
i. Identifiable GP data is submitted to North of England Commissioning Support Unit.
ii. The data lands in a ring-fenced area for GP data only.
iii. A specific named individual within North of England Commissioning Support Unit acts on behalf of the GP practice. This person has access to a closed black box type system (which includes a pseudonymisation process).
iv. The individual requests a pseudonymisation key from the NHS Digital (DSCRO) to use with the black box system. There will be a separate key specific to the pseudonymisation request and the key will only be used for that specific project. The key is specific to the pseudonymisation request. The access controls around the individual’s role does not give them access to the data once it has been passed on to the North of England Commissioning Support Unit.
v. The GP data is then pseudonymised using the black box and NHS Digital (DSCRO) issued key. The identifiable GP data is then deleted from the ring-fenced area.
vi. The data moves is transferred into a separate part of North of England Commissioning Support Unit.
vii. North of England Commissioning Support Unit make a request to NHS Digital (DSCRO).
viii. The DSCRO send a mapping table to North of England Commissioning Support Unit.
ix. North of England Commissioning Support Unit overwrite the organisations specific pseudonymisation keys with the DSCRO provided keys.
x. The mapping table is then deleted.
Social Care Data:
xi. The social care provider is issued with their own black box solution.
xii. The social care provider requests a pseudonymisation key from NHS Digital (DSCRO) to the black box. The key can only be used once. The key is specific to that organisation and the pseudonymisation request.
xiii. The social care organisation submit the pseudonymised social care data to North of England Commissioning Support Unit with the pseudo algorithm specific to them.
xiv. North of England Commissioning Support Unit make a request to NHS Digital (DSCRO).
xv. The DSCRO send a mapping table to North of England Commissioning Support Unit.
xvi. North of England Commissioning Support Unit overwrite the organisations specific pseudonymisation keys with the DSCRO provided keys.
xvii. The mapping table is then deleted.
Expected output
COMMISSIONING
1. Commissioner reporting:
a. Summary by provider view - plan & actuals year to date (YTD).
b. Summary by Patient Outcome Data (POD) view - plan & actuals YTD.
c. Summary by provider view - activity & finance variance by POD.
d. Planned care by provider view - activity & finance plan & actuals YTD.
e. Planned care by POD view - activity plan & actuals YTD.
f. Provider reporting.
g. Statutory returns.
h. Statutory returns - monthly activity return.
i. Statutory returns - quarterly activity return.
j. Delayed discharges.
k. Quality & performance referral to treatment reporting.
2. Readmissions analysis.
3. Production of aggregate reports for CCG Business Intelligence.
4. Production of project / programme level dashboards.
5. Monitoring of acute / community / mental health quality matrix.
6. Clinical coding reviews / audits.
7. Budget reporting down to individual GP Practice level.
8. GP Practice level dashboard reports.
9. Comparators of CCG performance with similar CCGs as set out by a specific range of care quality and performance measures detailed activity and cost reports
10. Data Quality and Validation measures allowing data quality checks on the submitted data
11. Contract Management and Modelling
12. Patient Stratification, such as:
o Patients at highest risk of admission
o High cost activity uses (top 15%)
o Frail and elderly
o Patients that are currently in hospital
o Patients with most referrals to secondary care
o Patients with most emergency activity
o Patients with most expensive prescriptions
o Patients recently moving from one care setting to another
i. Discharged from hospital
ii. Discharged from community
13. Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services.
14. Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die.
15. Clinical - understand reasons why patients are dying, what additional support services can be put in to support.
16. Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust.
17. Removal of patients from Risk Stratification reports.
18. Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
19. Manage demand, by understanding the quantity of assessments required CCGs 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.
20. Monitor the timing of key actions relating to referral letters. CCG’s are unable to see the contents of the referral letters.
21. 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.
22. Allow Commissioners to better protect or improve the public health of the total local patient population
23. Allow Commissioners to plan, evaluate and monitor health and social care policies, services, or interventions for the total local patient population
24. Allow Commissioners to compare their providers (trusts) mortality outcomes to the national baseline.
25. Investigate mortality outcomes for trusts
Expected measurable benefits
COMMISSIONING
1. Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management, integrated care and pathways.
a. Analysis to support full business cases.
b. Develop business models.
c. Monitor In year projects.
2. Supporting Joint Strategic Needs Assessment (JSNA) for specific disease types.
3. Health economic modelling using:
a. Analysis on provider performance against 18 weeks wait targets.
b. Learning from and predicting likely patient pathways for certain conditions, in order to influence early interventions and other treatments for patients.
c. Analysis of outcome measures for differential treatments, accounting for the full patient pathway.
d. Analysis to understand emergency care and linking A&E and Emergency Urgent Care Flows (EUCC).
4. Commissioning cycle support for grouping and re-costing previous activity.
5. Enables monitoring of:
a. CCG outcome indicators.
b. Financial and Non-financial validation of activity.
c. Successful delivery of integrated care within the CCG.
d. Checking frequent or multiple attendances to improve early intervention and avoid admissions.
e. Case management.
f. Care service planning.
g. Commissioning and performance management.
h. List size verification by GP practices.
i. Understanding the care of patients in nursing homes.
6. Feedback to NHS service providers on data quality at an aggregate and individual record level – only on data initially provided by the service providers.
7. 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.
8. Improved quality of services through reduced emergency readmissions, especially avoidable emergency admissions. This is achieved through mapping of frequent users of emergency services and early intervention of appropriate care.
9. 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.
10. 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 CCG Outcome Framework.
11. Better understanding of the health of and the variations in health outcomes within the population to help understand local population characteristics.
12. 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
13. Insights into patient outcomes, and identification of the possible efficacy of outcomes-based contracting opportunities.
14. Providing greater understanding of the underlying courses and look to commission improved supportive networks, this would be ongoing work which would be continually assessed.
15. Insight to understand the numerous factors that play a role in the outcome for both datasets. The linkage will allow the reporting both prior to, during and after the activity, to provide greater assurance on predictive outcomes and delivery of best practice.
16. Provision of indicators of health problems, and patterns of risk within the commissioning region.
17. Support of benchmarking for evaluating progress in future years.
18. Allow reporting to drive changes and improve the quality of commissioned services and health outcomes for people.
19. Assists commissioners to make better decisions to support patients and drive changes in health care
20. Allows comparisons of providers performance to assist improvement in services – increase the quality
21. Allow analysis of health care provision to be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
22. 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).
23. Monitoring of entire population, as a pose to only those that engage with services
24. Enable Commissioners to be able to see early indications of potential practice resilience issues in that an early warning marker can often be a trend of patients re-registering themselves at a neighbouring practice.
25. Monitor the quality and safety of the delivery of healthcare services.
26. Allow focused commissioning support based on factual data rather than assumed and projected sources
Expected measurable benefits to health and/or social care from the use of Civil Registration Data:
In addition to the existing benefits listed within individual Data Sharing Agreements, the below benefits will be included:
• Providing greater understanding of the underlying courses and look to commission improved supportive networks, this would be ongoing work which would be continually assessed
• Insight to understand the numerous factors that play a role in the outcome for both data sets. The linkage will allow the reporting both prior to, during and after the activity, to provide greater assurance on predictive outcomes and delivery of best practice.
• Births and Mortality data provide some of the best sources of information about the health of the commissioning region, they will provide indicators of health problems, and provide patterns of risk within the commissioner’s region. It also supports valuable bench marking for evaluating progress in future years.
Benefits reported so far
Not stated in the register.
Datasets on the latest version
Legal basis for provision: Health and Social Care Act 2012 - s261 - 'Other dissemination of information'
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Acute-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Ambulance-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Children and Young People Health | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Civil Registration - Births | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Civil Registrations of Death | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Community Services Data Set (CSDS) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Community-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Demand for Service-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Diagnostic Imaging Data Set (DID) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Diagnostic Services-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| e-Referral Service for Commissioning | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Emergency Care-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Experience, Quality and Outcomes-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Improving Access to Psychological Therapies (IAPT) v1.5 | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Maternity Services Data Set | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Mental Health and Learning Disabilities Data Set (MHLDDS) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Mental Health Minimum Data Set (MHMDS) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Mental Health Services Data Set (MHSDS) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Mental Health-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| National Cancer Waiting Times Monitoring DataSet (NCWTMDS) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| National Diabetes Audit | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Other Not Elsewhere Classified (NEC)-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Patient Reported Outcome Measures (PROMs) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Personal Demographic Service | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Population Data-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Primary Care Services-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Public Health and Screening Services-Local Provider Flows | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| Summary Hospital-level Mortality Indicator (SHMI) | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | Does not include the flow of confidential data |
| SUS for Commissioners | Anonymised - ICO Code Compliant | Sensitive | Frequent Adhoc Flow | 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.
No files recorded as released under this agreement.
Version history
The register lists each renewal of this agreement as a separate row. This site has 3 versions — earlier versions existed before this site's records begin.
DARS-NIC-192767-R0S9V-v3.2 15 October 2020 to 14 October 2023
- Title
- DSfC - Suffolk and North East Essex - Comm
- Commercial
- No
- Sublicensing
- No
- Datasets
- 29
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; e-Referral Service for Commissioning; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Personal Demographic Service; Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; Summary Hospital-level Mortality Indicator (SHMI); SUS for Commissioners
What changed from DARS-NIC-192767-R0S9V-v2.4
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2020-10-15 | |
| End date | 2023-10-14 | |
| Acute-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Ambulance-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Children and Young People Health: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Civil Registration - Births: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Civil Registrations of Death: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Community Services Data Set (CSDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Community-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Demand for Service-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Diagnostic Imaging Data Set (DID): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Diagnostic Services-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Emergency Care-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Experience, Quality and Outcomes-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Improving Access to Psychological Therapies Data Set_v1.5: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Maternity Services Data Set v1.5: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health Minimum Data Set (MHMDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health Services Data Set (MHSDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health and Learning Disabilities Data Set (MHLDDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Mental Health-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| National Cancer Waiting Times Monitoring DataSet (NCWTMDS): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| National Diabetes Audit: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Other Not Elsewhere Classified (NEC)-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Patient Reported Outcome Measures (PROMs): legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Population Data-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Primary Care Services-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| Public Health and Screening Services-Local Provider Flows: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' | |
| SUS for Commissioners: legal basis | Health and Social Care Act 2012 - s261 - 'Other dissemination of information' |
Datasets: + Personal Demographic Service; + Summary Hospital-level Mortality Indicator (SHMI); + e-Referral Service for Commissioning
Objective for processing
[30 paragraphs unchanged]
- e-Referral Service (eRS)
- Personal Demographics Service (PDS)
- Summary Hospital-level Mortality Indicator (SHMI)
[12 paragraphs unchanged]
Patient stratification and predictive modelling - to
identify specific
highlights cohorts of
patients at risk of requiring hospital admission and other avoidable factors such
[7 words unchanged]
executed against linked de-identified data, and identification of future service delivery models
Demand Management - to improve the care service for patients by predicting the impact on certain care pathways and support the secondary care system in ensuring enough capacity to manage the demand.
Support measuring the health, mortality or care needs of the total local population
[2 paragraphs unchanged]
Processing activities
[20 paragraphs unchanged]
Pulsant and
ITPS
IT Professional Services Ltd
do not access data held under this agreement as they only supply
[19 words unchanged]
agreement. This includes granting of access to the database[s] containing the data.
Microsoft Limited and Amazon Web Services provide cloud services for Optum Health Solutions (UK) Limited and are therefore listed as processors. They supply support to the system, but do not access data. Therefore, any access to the 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.
[28 paragraphs unchanged]
16. e-Referral Service (eRS)
17. Personal Demographics Service (PDS)
18. Summary Hospital-level Mortality Indicator (SHMI)
[1 paragraph unchanged]
1. Pseudonymised SUS+, Local Provider data, Mental Health data (MHSDS, MHMDS, MHLDDS),
[38 words unchanged]
(Births and Deaths), Patient Reported Outcome Measures (PROMs) and National Diabetes Audit
(NDA)
(NDA),e-Referral Service (eRS), Personal Demographics Service (PDS) and Summary Hospital-level Mortality Indicator (SHMI) data
only is securely transferred to North of England Commissioning Support Unit.
[34 paragraphs unchanged]
Expected output
COMMISSIONING
[24 paragraphs unchanged]
o
Use of high
High
cost activity
uses (top 15%)
[14 paragraphs unchanged]
Specific outputs expected from the use of Civil Registration Data, including target date:
19. Manage demand, by understanding the quantity of assessments required CCGs 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.
In addition to the existing outputs listed within individual Data Sharing Agreements, the below benefits will be included:
20. Monitor the timing of key actions relating to referral letters. CCG’s are unable to see the contents of the referral letters.
• Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services
21. 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.
• Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die
22. Allow Commissioners to better protect or improve the public health of the total local patient population
• Clinical - understand reasons why patients are dying, what additional support services can be put in to support
23. Allow Commissioners to plan, evaluate and monitor health and social care policies, services, or interventions for the total local patient population
• Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust
24. Allow Commissioners to compare their providers (trusts) mortality outcomes to the national baseline.
• Removal of patients from Risk Stratification reports
25. Investigate mortality outcomes for trusts
• Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
Expected measurable benefits
COMMISSIONING
[29 paragraphs unchanged]
14. Reviewing current service provision
14. Providing greater understanding of the underlying courses and look to commission improved supportive networks, this would be ongoing work which would be continually assessed.
a. Cost-benefit analysis and service impact assessments to underpin service transformation across health economy
15. Insight to understand the numerous factors that play a role in the outcome for both datasets. The linkage will allow the reporting both prior to, during and after the activity, to provide greater assurance on predictive outcomes and delivery of best practice.
b. Service planning and re-design (development of NMOC and integrated care pathways, new partnerships, working with new providers etc.)
16. Provision of indicators of health problems, and patterns of risk within the commissioning region.
c. Impact analysis for different models or productivity measures, efficiency and experience
17. Support of benchmarking for evaluating progress in future years.
d. Service and pathway review
18. Allow reporting to drive changes and improve the quality of commissioned services and health outcomes for people.
e. Service utilisation review
19. Assists commissioners to make better decisions to support patients and drive changes in health care
15. Ensuring compliance with evidence and guidance
20. Allows comparisons of providers performance to assist improvement in services – increase the quality
a. Testing approaches with evidence and compliance with guidance.
21. Allow analysis of health care provision to be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
16. Monitoring outcomes
22. 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).
a. Analysis of variation in outcomes across population group
23. Monitoring of entire population, as a pose to only those that engage with services
17. Understanding how services impact across the health economy
24. Enable Commissioners to be able to see early indications of potential practice resilience issues in that an early warning marker can often be a trend of patients re-registering themselves at a neighbouring practice.
a. Service evaluation
25. Monitor the quality and safety of the delivery of healthcare services.
b. Programme reviews
26. Allow focused commissioning support based on factual data rather than assumed and projected sources
c. Analysis of productivity, outcomes, experience, plan, targets and actuals
d. Assessing value for money and efficiency gains
e. Understanding impact of services on health inequalities
18. Understanding how services impact on the health of the population and patient cohorts
a. Measuring and assessing improvement in service provision, patient experience & outcomes and the cost to achieve this
b. Propensity matching and scoring
c. Triple aim analysis
19. Understanding future drivers for change across health economy
a. Forecasting health and care needs for population and population cohorts across the region
b. Identifying changes in disease trends and prevalence
c. Efficiencies that can be gained from procuring services across wider footprints, from new innovations
d. Predictive modelling
20. Delivering services that meet changing needs of population
a. Analysis to support policy development
b. Ethical and equality impact assessments
c. Implementation of NMOC
d. What do next years contracts need to include?
e. Workforce planning
21. Maximising services and outcomes within financial envelopes across health economy
a. What-if analysis
b. Cost-benefit analysis
c. Health economics analysis
d. Scenario planning and modelling
e. Investment and disinvestment in services analysis
f. Opportunity analysis
[5 paragraphs unchanged]
DARS-NIC-192767-R0S9V-v2.4 14 November 2019 to 13 November 2022
- Title
- DSfC - Suffolk and North East Essex - Comm
- Commercial
- No
- Sublicensing
- No
- Datasets
- 26
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); National Diabetes Audit; Other Not Elsewhere Classified (NEC)-Local Provider Flows; Patient Reported Outcome Measures (PROMs); Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; SUS for Commissioners
What changed from DARS-NIC-192767-R0S9V-v1.5
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | DSfC - Suffolk and North East Essex - Comm | |
| Start date | 2019-11-14 | |
| End date | 2022-11-13 |
Datasets: + National Diabetes Audit; + Patient Reported Outcome Measures (PROMs)
Objective for processing
[1 paragraph unchanged]
The NHS and local councils have come together in 44 areas covering all of England to develop proposals to improve health and care. They have formed new partnerships – known as Sustainability and Transformation Partnerships (STPs) – to plan jointly for the next few years.
NHS West Suffolk, NHS Ipswich and East Suffolk and NHS North East Essex CCG work jointly across the region to fulfil their commissioning functions. The CCGs will work proactively and collaboratively with each other to redesign services across boundaries to integrate services.
Sustainability and Transformation Partnerships build on collaborative work that began under the NHS Shared Planning Guidance for 2016/17 – 2020/21, to support implementation of the Five Year Forward View. They are supported by six national health and care bodies: NHS England; NHS Improvement; the Care Quality Commission (CQC); Health Education England (HEE); Public Health England (PHE) and the National Institute for Health and Care Excellence (NICE).
The CCGs will 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 geographical region.
The CCG is part of the Suffolk and North East Essex Sustainability and Transformation Partnership. The Sustainability and Transformation Partnership is responsible for implementing large parts of the 5 year forward view from NHS England. The Sustainability and Transformation Partnership is implementing several initiatives:
- Putting the patient at the heart of the health system
- Working across organisational boundaries to deliver care and including social care, public Health, providers and GPs as well as CCGs
- Reviewing patient pathways to improve patient experience whilst reducing costs e.g. reduce the number of standard tests a patient may have and only have the ones they need
- Planning the demand and capacity across the healthcare system across 3 CCGs to ensure we have the right buildings, services and staff to cope with demand whilst reducing the impact on costs
- Working to prevent or capture conditions early as they are cheaper to treat
- Introduce initiatives to change behaviours e.g. move more care into the community
- Patient pathway planning for the above
To ensure the patient is at the heart of care, the Sustainability and Transformation Partnership is focusing on where services are required across the geographical region. This assists to ensure delivery of care in the right place for patients who may move and change services across CCGs.
The CCG will work proactively and collaboratively with the other CCGs in the Sustainability and Transformation Partnership to redesign services across boundaries to integrate services. Collaborative sharing is required for CCGs to understand these requirements.
The CCGs will 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 Sustainability and Transformation Partnership area.
[41 paragraphs unchanged]
Processing for commissioning will be conducted by North of England Commissioning Support Unit
and Optum Health Solutions UK ltd.
Processing activities
[7 paragraphs unchanged]
Patient
Identifiable patient
level data will not be shared outside of the
CCG
CCGs
unless it is for the purpose of Direct Care, where it may
[11 words unchanged]
relationship with the patient and a legitimate reason to access the data.
[39 paragraphs unchanged]
13. National Diabetes Audit (NDA)
14. Patient Reported Outcomes Monitoring (PROMS)
[1 paragraph unchanged]
Data Processor 1 – North of England Commissioning Support Unit
1. Pseudonymised SUS+, Local Provider data, Mental Health data (MHSDS, MHMDS, MHLDDS), Maternity data (MSDS), Improving Access to Psychological Therapies data (IAPT), Child and Young People’s Health data (CYPHS), Community Services Data Set (CSDS). Diagnostic Imaging data (DIDS), National Cancer Waiting Times Monitoring Data Set (CWT), Civil Registries Data (CRD) (Births and Deaths), Patient Reported Outcome Measures (PROMs) and National Diabetes Audit (NDA) only is securely transferred to North of England Commissioning Support Unit.
1. Pseudonymised SUS+, Local Provider data, Mental Health data (MHSDS, MHMDS, MHLDDS), Maternity data (MSDS), Improving Access to Psychological Therapies data (IAPT), Child and Young People’s Health data (CYPHS), Community Services Data Set (CSDS). Diagnostic Imaging data (DIDS) and National Cancer Waiting Times Monitoring Data Set (CWT) only is securely transferred from the DSCRO to North of England Commissioning Support Unit.
2. North of England Commissioning Support Unit receive GP data (as points i-x)
2.
3.
North of England Commissioning Support Unit
add derived fields, link
receive social care
data
and provide analysis to:
(as points xi-xvii)
a. See patient journeys for pathways or service design, re-design and de-commissioning .
4. Data listed within point 1 is then linked to the pseudonymised GP data and social care data only and analysis is provided to:
a. See patient journeys for pathways or service design, re-design and de-commissioning.
[6 paragraphs unchanged]
3. Allowed linkage is between the data sets contained within point 1.
5. North of England Commissioning Support Unit then pass the processed, pseudonymised and linked data to the CCGs.
4. North of England Commissioning Support Unit then pass the processed, pseudonymised and linked data to the CCG. The CCG analyse the data to:
6. North of England Commissioning Support Unit also pass SUS, Local Provider Flows, MHMDS, MHLDDS, MHSDS, IAPT, CYPHS, CSDS and GP data to Optum Health Solutions (UK) Ltd.
a. See patient journeys for pathways or service design, re-design and de-commissioning .
7. Optum Health Solutions (UK) Ltd undertake analysis to support the CCGs conduct population health management.
b. Check recorded activity against contracts or invoices and facilitate discussions with providers.
8. Aggregation of required data for CCG management use will be instructed by the CCGs and completed by North of England Commissioning Support Unit, Optum Health Solutions (UK) Ltd or the CCGs.
c. Undertake population health management
9. Patient level data will not be shared outside of the CCGs, other than with their member GP Practices for each Practices own patients only and will only be shared within the CCGs on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression can be shared as set out within NHS Digital guidance applicable to each data set.
d. Undertake data quality and validation checks
GP Data:
e. Thoroughly investigate the needs of the population
i. Identifiable GP data is submitted to North of England Commissioning Support Unit.
f. Understand cohorts of residents who are at risk
ii. The data lands in a ring-fenced area for GP data only.
g. Conduct Health Needs Assessments
iii. A specific named individual within North of England Commissioning Support Unit acts on behalf of the GP practice. This person has access to a closed black box type system (which includes a pseudonymisation process).
5. Aggregation of required data for CCG management use will be completed by North of England Commissioning Support Unit or the CCG as instructed by the CCG.
iv. The individual requests a pseudonymisation key from the NHS Digital (DSCRO) to use with the black box system. There will be a separate key specific to the pseudonymisation request and the key will only be used for that specific project. The key is specific to the pseudonymisation request. The access controls around the individual’s role does not give them access to the data once it has been passed on to the North of England Commissioning Support Unit.
6. Patient level data will not be shared outside of the CCG and will only be shared within the CCG on a need to know basis, as per the purposes stipulated within the Data Sharing Agreement. External aggregated reports only with small number suppression can be shared as set out within NHS Digital guidance applicable to each data set.
v. The GP data is then pseudonymised using the black box and NHS Digital (DSCRO) issued key. The identifiable GP data is then deleted from the ring-fenced area.
The pseudonymised Civil Registration data is required for the following purposes:
vi. The data moves is transferred into a separate part of North of England Commissioning Support Unit.
· Population health management:
vii. North of England Commissioning Support Unit make a request to NHS Digital (DSCRO).
· Understanding the interdependency of care services
viii. The DSCRO send a mapping table to North of England Commissioning Support Unit.
· Targeting care more effectively
ix. North of England Commissioning Support Unit overwrite the organisations specific pseudonymisation keys with the DSCRO provided keys.
· Using value as the redesign principle
x. The mapping table is then deleted.
· Data Quality and Validation – allowing data quality checks on the submitted data
Social Care Data:
· Thoroughly investigating the needs of the population, to ensure the right services are available for individuals when and where they need them.
xi. The social care provider is issued with their own black box solution.
· 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
xii. The social care provider requests a pseudonymisation key from NHS Digital (DSCRO) to the black box. The key can only be used once. The key is specific to that organisation and the pseudonymisation request.
· 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
xiii. The social care organisation submit the pseudonymised social care data to North of England Commissioning Support Unit with the pseudo algorithm specific to them.
· 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
xiv. North of England Commissioning Support Unit make a request to NHS Digital (DSCRO).
· Service redesign
xv. The DSCRO send a mapping table to North of England Commissioning Support Unit.
· Health Needs Assessment – identification of underlying disease prevalence within the local population
xvi. North of England Commissioning Support Unit overwrite the organisations specific pseudonymisation keys with the DSCRO provided keys.
· 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
xvii. The mapping table is then deleted.
The data is required to ensure that analysis of health care provision can be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
Expected output
Commissioning
[18 paragraphs unchanged]
8. GP Practice level dashboard
reports include high flyers.
reports.
[5 paragraphs unchanged]
o Most expensive patients (top 15%)
o Use of high cost activity
[22 paragraphs unchanged]
Expected measurable benefits
Commissioning
[50 paragraphs unchanged]
a. Forecasting health and care needs for population and population cohorts across
STPs
the region
[21 paragraphs unchanged]
Objective for processing
Commissioning
NHS West Suffolk, NHS Ipswich and East Suffolk and NHS North East Essex CCG work jointly across the region to fulfil their commissioning functions. The CCGs will work proactively and collaboratively with each other to redesign services across boundaries to integrate services.
The CCGs will 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 geographical region.
The CCGs commission services from a range of providers covering a wide array of services. Each of the data flow categories requested supports the commissioned activity of one or more providers.
The following pseudonymised data sets are required to provide intelligence to support commissioning of health services:
- Secondary Uses Service (SUS+)
- Local Provider Flows
o Acute
o Ambulance
o Community
o Demand for Service
o Diagnostic Service
o Emergency Care
o Experience, Quality and Outcomes
o Mental Health
o Other Not Elsewhere Classified
o Population Data
o Primary Care Services
o Public Health Screening
- Mental Health Minimum Data Set (MHMDS)
- Mental Health Learning Disability Data Set (MHLDDS)
- Mental Health Services Data Set (MHSDS)
- Maternity Services Data Set (MSDS)
- Improving Access to Psychological Therapy (IAPT)
- Child and Young People Health Service (CYPHS)
- Community Services Data Set (CSDS)
- Diagnostic Imaging Data Set (DIDS)
- National Cancer Waiting Times Monitoring Data Set (CWT)
- Civil Registries Data (CRD) - Births
- Civil Registries Data (CRD) - Deaths
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
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
Service redesign
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
The pseudonymised data is required to ensure that analysis of health care provision can be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
Processing for commissioning will be conducted by North of England Commissioning Support Unit and Optum Health Solutions UK ltd.
Expected output
1. Commissioner reporting:
a. Summary by provider view - plan & actuals year to date (YTD).
b. Summary by Patient Outcome Data (POD) view - plan & actuals YTD.
c. Summary by provider view - activity & finance variance by POD.
d. Planned care by provider view - activity & finance plan & actuals YTD.
e. Planned care by POD view - activity plan & actuals YTD.
f. Provider reporting.
g. Statutory returns.
h. Statutory returns - monthly activity return.
i. Statutory returns - quarterly activity return.
j. Delayed discharges.
k. Quality & performance referral to treatment reporting.
2. Readmissions analysis.
3. Production of aggregate reports for CCG Business Intelligence.
4. Production of project / programme level dashboards.
5. Monitoring of acute / community / mental health quality matrix.
6. Clinical coding reviews / audits.
7. Budget reporting down to individual GP Practice level.
8. GP Practice level dashboard reports.
9. Comparators of CCG performance with similar CCGs as set out by a specific range of care quality and performance measures detailed activity and cost reports
10. Data Quality and Validation measures allowing data quality checks on the submitted data
11. Contract Management and Modelling
12. Patient Stratification, such as:
o Patients at highest risk of admission
o Use of high cost activity
o Frail and elderly
o Patients that are currently in hospital
o Patients with most referrals to secondary care
o Patients with most emergency activity
o Patients with most expensive prescriptions
o Patients recently moving from one care setting to another
i. Discharged from hospital
ii. Discharged from community
13. Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services.
14. Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die.
15. Clinical - understand reasons why patients are dying, what additional support services can be put in to support.
16. Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust.
17. Removal of patients from Risk Stratification reports.
18. Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
Specific outputs expected from the use of Civil Registration Data, including target date:
In addition to the existing outputs listed within individual Data Sharing Agreements, the below benefits will be included:
• Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services
• Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die
• Clinical - understand reasons why patients are dying, what additional support services can be put in to support
• Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust
• Removal of patients from Risk Stratification reports
• Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
DARS-NIC-192767-R0S9V-v1.5 1 May 2019 to 30 April 2022
- Title
- DSfC - NHS Ipswich & East Suffolk CCG - STP - Comm
- Commercial
- No
- Sublicensing
- No
- Datasets
- 24
- Files released
- 0
Datasets: Acute-Local Provider Flows; Ambulance-Local Provider Flows; Children and Young People Health; Civil Registration - Births; Civil Registrations of Death; Community Services Data Set (CSDS); Community-Local Provider Flows; Demand for Service-Local Provider Flows; Diagnostic Imaging Data Set (DID); Diagnostic Services-Local Provider Flows; Emergency Care-Local Provider Flows; Experience, Quality and Outcomes-Local Provider Flows; Improving Access to Psychological Therapies (IAPT) v1.5; Maternity Services Data Set; Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); Mental Health-Local Provider Flows; National Cancer Waiting Times Monitoring DataSet (NCWTMDS); Other Not Elsewhere Classified (NEC)-Local Provider Flows; Population Data-Local Provider Flows; Primary Care Services-Local Provider Flows; Public Health and Screening Services-Local Provider Flows; SUS for Commissioners
Objective for processing
Commissioning
The NHS and local councils have come together in 44 areas covering all of England to develop proposals to improve health and care. They have formed new partnerships – known as Sustainability and Transformation Partnerships (STPs) – to plan jointly for the next few years.
Sustainability and Transformation Partnerships build on collaborative work that began under the NHS Shared Planning Guidance for 2016/17 – 2020/21, to support implementation of the Five Year Forward View. They are supported by six national health and care bodies: NHS England; NHS Improvement; the Care Quality Commission (CQC); Health Education England (HEE); Public Health England (PHE) and the National Institute for Health and Care Excellence (NICE).
The CCG is part of the Suffolk and North East Essex Sustainability and Transformation Partnership. The Sustainability and Transformation Partnership is responsible for implementing large parts of the 5 year forward view from NHS England. The Sustainability and Transformation Partnership is implementing several initiatives:
- Putting the patient at the heart of the health system
- Working across organisational boundaries to deliver care and including social care, public Health, providers and GPs as well as CCGs
- Reviewing patient pathways to improve patient experience whilst reducing costs e.g. reduce the number of standard tests a patient may have and only have the ones they need
- Planning the demand and capacity across the healthcare system across 3 CCGs to ensure we have the right buildings, services and staff to cope with demand whilst reducing the impact on costs
- Working to prevent or capture conditions early as they are cheaper to treat
- Introduce initiatives to change behaviours e.g. move more care into the community
- Patient pathway planning for the above
To ensure the patient is at the heart of care, the Sustainability and Transformation Partnership is focusing on where services are required across the geographical region. This assists to ensure delivery of care in the right place for patients who may move and change services across CCGs.
The CCG will work proactively and collaboratively with the other CCGs in the Sustainability and Transformation Partnership to redesign services across boundaries to integrate services. Collaborative sharing is required for CCGs to understand these requirements.
The CCGs will 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 Sustainability and Transformation Partnership area.
The CCGs commission services from a range of providers covering a wide array of services. Each of the data flow categories requested supports the commissioned activity of one or more providers.
The following pseudonymised data sets are required to provide intelligence to support commissioning of health services:
- Secondary Uses Service (SUS+)
- Local Provider Flows
o Acute
o Ambulance
o Community
o Demand for Service
o Diagnostic Service
o Emergency Care
o Experience, Quality and Outcomes
o Mental Health
o Other Not Elsewhere Classified
o Population Data
o Primary Care Services
o Public Health Screening
- Mental Health Minimum Data Set (MHMDS)
- Mental Health Learning Disability Data Set (MHLDDS)
- Mental Health Services Data Set (MHSDS)
- Maternity Services Data Set (MSDS)
- Improving Access to Psychological Therapy (IAPT)
- Child and Young People Health Service (CYPHS)
- Community Services Data Set (CSDS)
- Diagnostic Imaging Data Set (DIDS)
- National Cancer Waiting Times Monitoring Data Set (CWT)
- Civil Registries Data (CRD) - Births
- Civil Registries Data (CRD) - Deaths
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
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
Service redesign
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
The pseudonymised data is required to ensure that analysis of health care provision can be completed to support the needs of the health profile of the population within the CCG area based on the full analysis of multiple pseudonymised datasets.
Processing for commissioning will be conducted by North of England Commissioning Support Unit
Expected output
Commissioning
1. Commissioner reporting:
a. Summary by provider view - plan & actuals year to date (YTD).
b. Summary by Patient Outcome Data (POD) view - plan & actuals YTD.
c. Summary by provider view - activity & finance variance by POD.
d. Planned care by provider view - activity & finance plan & actuals YTD.
e. Planned care by POD view - activity plan & actuals YTD.
f. Provider reporting.
g. Statutory returns.
h. Statutory returns - monthly activity return.
i. Statutory returns - quarterly activity return.
j. Delayed discharges.
k. Quality & performance referral to treatment reporting.
2. Readmissions analysis.
3. Production of aggregate reports for CCG Business Intelligence.
4. Production of project / programme level dashboards.
5. Monitoring of acute / community / mental health quality matrix.
6. Clinical coding reviews / audits.
7. Budget reporting down to individual GP Practice level.
8. GP Practice level dashboard reports include high flyers.
9. Comparators of CCG performance with similar CCGs as set out by a specific range of care quality and performance measures detailed activity and cost reports
10. Data Quality and Validation measures allowing data quality checks on the submitted data
11. Contract Management and Modelling
12. Patient Stratification, such as:
o Patients at highest risk of admission
o Most expensive patients (top 15%)
o Frail and elderly
o Patients that are currently in hospital
o Patients with most referrals to secondary care
o Patients with most emergency activity
o Patients with most expensive prescriptions
o Patients recently moving from one care setting to another
i. Discharged from hospital
ii. Discharged from community
13. Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services.
14. Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die.
15. Clinical - understand reasons why patients are dying, what additional support services can be put in to support.
16. Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust.
17. Removal of patients from Risk Stratification reports.
18. Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
Specific outputs expected from the use of Civil Registration Data, including target date:
In addition to the existing outputs listed within individual Data Sharing Agreements, the below benefits will be included:
• Validation for payment approval, ability to validate that claims are not being made after an individual has died, like Oxygen services
• Validation of programs implemented to improve patient pathway e.g. High users unable to validate if the process to help patients find the best support are working or did the patient die
• Clinical - understand reasons why patients are dying, what additional support services can be put in to support
• Understanding where patient are dying e.g. are patients dying at hospitals due to hospices closing due to Local authorities withdrawing support, or is there a problem at a particular trust
• Removal of patients from Risk Stratification reports
• Re births provide a one stop shop of information, Births are recorded in multiple sources covering hospital and home births, a chance to overlook activity.
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds, the earliest of which is July 2021.
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July 2021 —
already listed in the earliest edition this site holds, so it may be older. 3 versions: DARS-NIC-192767-R0S9V-v1.5, DARS-NIC-192767-R0S9V-v2.4, DARS-NIC-192767-R0S9V-v3.2
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October 2022
Succeeded Applicant organisation: NHS Ipswich and East Suffolk CCG succeeded by NHS Suffolk and North East Essex ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS Ipswich and East Suffolk CCG succeeded by NHS Suffolk and North East Essex ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS North East Essex CCG succeeded by NHS Suffolk and North East Essex ICB from 1 July 2022, according to NHS ODS. Not counted as a change.Succeeded Data controllers: NHS West Suffolk CCG succeeded by NHS Suffolk and North East Essex ICB from 1 July 2022, according to NHS ODS. Not counted as a change.
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December 2022
Register-wide edit DARS-NIC-192767-R0S9V-v1.5, DARS-NIC-192767-R0S9V-v2.4 — Datasets: legal basis: “
s261(1) and” taken out. Made to 639 agreements in this edition, so it is reported once, on the changes page, and not counted as an amendment of this agreement.
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-192767-R0S9V, “DSfC - Suffolk and North East Essex - Comm”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-192767-r0s9v/ (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-192767-R0S9V to see the original rows.