NHS Digital Data Release Register - reformatted

NHS Hartlepool And Stockton-on-tees Ccg projects

DSfC- NHS Hartlepool and Stockton-on-Tees CCG- IV, RS, Comm
Project 2
Project 3

463 data files in total were disseminated unsafely (information about files used safely is missing for TRE/"system access" projects).

🚩 NHS Hartlepool And Stockton-on-tees Ccg was sent multiple files from the same dataset, in the same month, both with optouts respected and with optouts ignored. NHS Hartlepool And Stockton-on-tees Ccg may not have compared the two files, but the identifiers are consistent between datasets, and outside of a good TRE NHS Digital can not know what recipients actually do.

DSfC- NHS Hartlepool and Stockton-on-Tees CCG- IV, RS, Comm — DARS-NIC-115934-P8P0X

Type of data: information not disclosed for TRE projects

Opt outs honoured: No - data flow is not identifiable, Yes - patient objections upheld, Anonymised - ICO Code Compliant, Identifiable (Section 251, Section 251 NHS Act 2006, 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(1) and s261(2)(b)(ii), Health and Social Care Act 2012 – s261(7), National Health Service Act 2006 - s251 - 'Control of patient information'. , Health and Social Care Act 2012 s261(1) and s261(2)(b)(ii), Health and Social Care Act 2012 s261(7), Health and Social Care Act 2012 s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'., Health and Social Care Act 2012 s261(2)(b)(ii)

Purposes: No (Clinical Commissioning Group (CCG), Sub ICB Location)

Sensitive: Sensitive

When:DSA runs 2019-08-01 — 2022-07-31 2018.06 — 2020.03.

Access method: Frequent adhoc flow, Frequent Adhoc Flow

Data-controller type: NHS TEES VALLEY CCG, NHS NORTH EAST AND NORTH CUMBRIA ICB - 16C

Sublicensing allowed: No

Datasets:

Acute-Local Provider Flows
Ambulance-Local Provider Flows
Children and Young People Health
Community Services Data Set
Community-Local Provider Flows
Demand for Service-Local Provider Flows
Diagnostic Imaging Dataset
Diagnostic Services-Local Provider Flows
Emergency Care-Local Provider Flows
Experience, Quality and Outcomes-Local Provider Flows
Improving Access to Psychological Therapies Data Set
Maternity Services Data Set
Mental Health and Learning Disabilities Data Set
Mental Health Minimum Data Set
Mental Health Services Data Set
Mental Health-Local Provider Flows
National Cancer Waiting Times Monitoring DataSet (CWT)
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
Civil Registration - Births
Civil Registration - Deaths
National Diabetes Audit
Patient Reported Outcome Measures
National Cancer Waiting Times Monitoring DataSet (NCWTMDS)
Improving Access to Psychological Therapies Data Set_v1.5
Civil Registrations of Death
Community Services Data Set (CSDS)
Diagnostic Imaging Data Set (DID)
Improving Access to Psychological Therapies (IAPT) v1.5
Mental Health and Learning Disabilities Data Set (MHLDDS)
Mental Health Minimum Data Set (MHMDS)
Mental Health Services Data Set (MHSDS)
Patient Reported Outcome Measures (PROMs)

Objectives:

Invoice Validation
Invoice validation is part of a process by which providers of care or services get paid for the work they do.

Invoices are submitted to the Clinical Commissioning Group (CCG) so they are able to ensure that the activity claimed for each patient is their responsibility. This is done by processing and analysing Secondary User Services (SUS+) data, which is received into a secure Controlled Environment for Finance (CEfF). The SUS+ data is identifiable at the level of NHS number. The NHS number is only used to confirm the accuracy of backing-data sets and will not be used further.

Invoice Validation with be conducted by North of England Commissioning Support Unit (CSU)
The CCG are advised by North of England CSU whether payment for invoices can be made or not.

Risk Stratification
Risk stratification is a tool for identifying and predicting which patients are at high risk or are likely to be at high risk and prioritising the management of their care in order to prevent worse outcomes.
To conduct risk stratification Secondary User Services (SUS+) data, identifiable at the level of NHS number is linked with Primary Care data (from GPs) and an algorithm is applied to produce risk scores. Risk Stratification provides focus for future demands by enabling commissioners to prepare plans for patients. Commissioners can then prepare plans for patients who may require high levels of care. Risk Stratification also enables General Practitioners (GPs) to better target intervention in Primary Care.

Risk Stratification will be conducted by North of England CSU.

Commissioning
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 CCG 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 datasets 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)
- Diagnostic Imaging Data Set (DIDS)
- National Cancer Waiting Times Data Set (NCWT)
- Community Services Data Set (CSDS)
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 CSU

Yielded Benefits:

Expected Benefits:

Invoice Validation
1. Financial validation of activity
2. CCG Budget control
3. Commissioning and performance management
4. Meeting commissioning objectives without compromising patient confidentiality
5. The avoidance of misappropriation of public funds to ensure the ongoing delivery of patient care

Risk Stratification
Risk stratification promotes improved case management in primary care and will 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. Improved quality of services through reduced emergency readmissions, especially avoidable emergency admissions. 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 CCG 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 through more effective commissioning of services.

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.

Outputs:

Invoice Validation
1. Addressing poor data quality issues
2. Production of reports for business intelligence
3. Budget reporting
4. Validation of invoices for non-contracted events

Risk Stratification
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. Output from the risk stratification tool will provide aggregate reporting of number and percentage of population found to be at risk.
3. Record level output will be available for commissioners (of the CCG), pseudonymised at patient level.
4. 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.
5. The CCG will be able to target specific patient groups and enable clinicians with the duty of care for the patient to offer appropriate interventions. The CCG will also be able to:
o Stratify populations based on: disease profiles; conditions currently being treated; current service use; pharmacy use and risk of future overall cost
o Plan work for commissioning services and contracts
o Set up capitated budgets
o Identify health determinants of risk of admission to hospital, or other adverse care outcomes.

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

Processing:

Data must only be used as stipulated within this Data Sharing Agreement.

Data Processors must only act upon specific instructions from the Data Controller.

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)

The DSCRO (part of NHS Digital) will apply Type 2 objections before any identifiable data leaves the DSCRO only for the purpose of Risk Stratification.

CCGs should work with general practices within their CCG to help them fulfil data controller responsibilities regarding flow of identifiable data into risk stratification tools.

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 for the purpose of Invoice Validation is kept within the CEfF, and only used by staff properly trained and authorised for the activity. Only CEfF staff are able to access data in the CEfF and only CEfF staff operate the invoice validation process within the CEfF. Data flows directly in to the CEfF from the DSCRO and from the providers – it does not flow through any other processors.

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).
and/or
• 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 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 the commissioner - this is only for commissioning and relates to both national and local flows.

For the purpose of Risk Stratification:
• 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

For the purpose of Invoice Validation:
• CCG of residence and/or registration.

The above relates to data requested only (Table 3B). Data currently held (Table 3A) will have the following Data Minimisation:
• CCG of residence and/or registration.

Invoice Validation
1. Identifiable SUS+ Data is obtained from the SUS+ Repository to the Data Services for Commissioners Regional Office (DSCRO).
2. The DSCRO pushes a one-way data flow of SUS+ data into the Controlled Environment for Finance (CEfF) in the North of England CSU.
3. North of England CSU carry out the following processing activities within the CEfF for invoice validation purposes:
a. Validating that the Clinical Commissioning Group is responsible for payment for the care of the individual by using SUS+ and/or backing flow data.
b. Once the backing information is received, this will be checked against national NHS and local commissioning policies as well as being checked against system access and reports provided by NHS Digital to confirm the payments are:
i. In line with Payment by Results tariffs
ii. are in relation to a patient registered with a CCG GP or resident within the CCG area.
iii. The health care provided should be paid by the CCG in line with CCG guidance.
4. The CCG are notified that the invoice has been validated and can be paid. Any discrepancies or non-validated invoices are investigated and resolved between North of England CSU CEfF team and the provider meaning that no identifiable data needs to be sent to the CCG. The CCG only receives notification to pay and management reporting detailing the total quantum of invoices received pending, processed etc.

Risk Stratification
1. Identifiable SUS+ data is obtained from the SUS Repository to the Data Services for Commissioners Regional Office (DSCRO).
2. Data quality management and standardisation of data is completed by the DSCRO and the data identifiable at the level of NHS number is transferred securely to North of England CSU, who hold the SUS+ data within the secure Data Centre on N3.
3. Identifiable GP Data is securely sent from the GP system to North of England CSU.
4. SUS+ data is linked to GP data in the risk stratification tool by the data processor.
5. As part of the risk stratification processing activity, GPs have access to the risk stratification tool within the data processor, which highlights patients with whom the GP has a legitimate relationship 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.
6. Once North of England CSU has completed the processing, the CCG can access the online system via a secure connection to access the data pseudonymised at patient level.

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. Diagnostic Imaging Data Set (DIDS)
10. National Cancer Waiting Times Data Set (NCWT)
11. Community Services Data Set (CSDS)
Data quality management and pseudonymisation is completed within the DSCRO and is then disseminated as follows:

Data Processor 1 – North of England Commissioning Support Unit (NECSU)
1. Data quality management and pseudonymisation of data is completed by the DSCRO and the pseudonymised data (Flow 1, 2 and 3) is then held until completion of points 2 – 7.
2. North of England CSU also receive GP Data. It is received as follows:
a. Identifiable GP data is submitted to the CSU.
b. The data lands in a ring fenced area for GP data only .
c. There is a Data Processing Agreement in place between the GP and the CSU. A specific named individual within the CSU acts on behalf on the GP. This person has been issued with a black box.
d. The individual requests a pseudonymisation key from the DSCRO to the black box. The key can only be used once. The key is specific to that GP and the pseudonymisation request. The individual does not have access to the data once it has been passed on to the CSU.
e. The GP data is then pseudonymised using the black box and DSCRO issued key – the clear data is then deleted from the ring fenced area.
f. The CSU are then sent the identifiable GP data with the pseudo key specific to them.
3. North of England CSU also receive a pseudonymised flow of social care data. Social Care data is received as follows:
a. The social care organisation is issued with their own black box solution.
b. The social care organisation requests a pseudonymisation key from the DSCRO to the black box. The key can only be used once. The key is specific to that organisation and the pseudonymisation request.
c. The social care organisation submit the pseudonymised social care data to the CSU with the pseudo algorithm specific to them.
4. Once the pseudonymised GP data and social care data is received, the CSU make a request to the DSCRO.
5. The DSCRO then send a mapping table to the CSU
6. The CSU then overwrite the organisation specific keys with the DSCRO key.
7. The mapping table is then deleted.
8. The DSCRO then pass the pseudonymised SUS, local provider data, Mental Health (MHSDS, MHMDS, MHLDDS), Maternity (MSDS), Improving Access to Psychological Therapies (IAPT), Child and Young People’s Health (CYPHS)National Cancer Waiting Times Data Set (NCWT)
Community Services Data Set (CSDS) and Diagnostic Imaging (DIDS) securely to North of England CSU for the addition of derived fields, linkage of data sets and analysis.
9. Social care and GP data is then linked to the data sets listed within point 9 in the CSU utilising algorithms and analysis
10. Aggregation of required data for CCG management use will be completed by the CSU as instructed by the CCG.
11. Patient level data will not be shared outside of the Data Processor/Controller and will only be shared within the Data Processors 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.

Project 2 — NIC-115934-P8P0X

Type of data: information not disclosed for TRE projects

Opt outs honoured: N, Y

Legal basis: Health and Social Care Act 2012, Section 251 approval is in place for the flow of identifiable data

Purposes: ()

Sensitive: Sensitive

When:2017.12 — 2018.05.

Access method: Ongoing

Data-controller type:

Sublicensing allowed:

Datasets:

SUS data (Accident & Emergency, Admitted Patient Care & Outpatient)
Improving Access to Psychological Therapies Data Set
Maternity Services Dataset
Mental Health Services Data Set
Local Provider Data - Acute
Local Provider Data - Ambulance
Local Provider Data - Community
Local Provider Data - Demand for Service
Local Provider Data - Diagnostic Services
Local Provider Data - Emergency Care
Local Provider Data - Mental Health
Local Provider Data - Primary Care
SUS for Commissioners
Public Health and Screening Services-Local Provider Flows
Primary Care Services-Local Provider Flows
Population Data-Local Provider Flows
Other Not Elsewhere Classified (NEC)-Local Provider Flows
Mental Health-Local Provider Flows
Mental Health Minimum Data Set
Mental Health and Learning Disabilities Data Set
Maternity Services Data Set
Experience, Quality and Outcomes-Local Provider Flows
Emergency Care-Local Provider Flows
Diagnostic Services-Local Provider Flows
Diagnostic Imaging Dataset
Demand for Service-Local Provider Flows
Community-Local Provider Flows
Children and Young People Health
Ambulance-Local Provider Flows
Acute-Local Provider Flows

Objectives:

Objective for processing:
Invoice Validation
As an approved Controlled Environment for Finance (CEfF), North of England Commissioning Support Unit (CSU) receives SUS data identifiable at the level of NHS number according to S.251 CAG 7-07(a) and (c)/2013, to undertake invoice validation on behalf of the CCG. NHS number is only used to confirm the accuracy of backing-data sets and will not be shared outside of the CEfF. The CCG are advised by the CSU whether payment for invoices can be made or not.

Risk Stratification
To use SUS data identifiable at the level of NHS number according to S.251 CAG 7-04(a) (and Primary Care Data) for the purpose of Risk Stratification. Risk Stratification provides a forecast of future demand by identifying high risk patients. This enables commissioners to initiate proactive management plans for patients that are potentially high service users. Risk Stratification enables General Practitioners (GPs) to better target intervention in Primary Care.
Risk Stratification will be conducted by North of England Commissioning Support Unit (CSU)

Commissioning
To use pseudonymised data to provide intelligence to support commissioning of health services. 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.
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 datasets are required to provide intelligence to support commissioning of health services:
Secondary Uses Service (SUS)
Local Provider Flows
Acute
Ambulance
Community
Demand for Service
Diagnostic Service
Emergency Care
Experience, Quality and Outcomes
Mental Health
Other Not Elsewhere Classified
Population Data
Primary Care Services
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)
Diagnostic Imaging Data Set (DIDS)
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 (CSU)

In addition, North of England Commissioning Support Unit also receive pseudonymised GP data, Social Care data and Consented Data. This is pseudonymised either at source or within North of England Commissioning Support Unit. This pseudonymisation tool is different to that held within the DSCRO. Also, each data source will use a variation of this tool so there is no linkage between these data until a common pseudonym has been applied via the DSCRO.

Expected Benefits:

Expected measurable benefits to health and/or social care including target date:
Invoice Validation
Financial validation of activity
CCG Budget control
Commissioning and performance management
Meeting commissioning objectives without compromising patient confidentiality
The avoidance of misappropriation of public funds to ensure the ongoing delivery of patient care

Risk Stratification
Risk stratification promotes improved case management in primary care and will lead to the following benefits being realised:
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.
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.
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.
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.
Better understanding of the health of and the variations in health outcomes within the population to help understand local population characteristics.
All of the above lead to improved patient experience through more effective commissioning of services.

Commissioning
Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management, integrated care and pathways.
Analysis to support full business cases.
Develop business models.
Monitor In year projects.
Pooled health and social care budget reporting
Supporting Joint Strategic Needs Assessment (JSNA) for specific disease types and patient groups
Health economic modelling using:
Analysis on provider performance against 18 weeks wait targets.
Learning from and predicting likely patient pathways for certain conditions, in order to influence early interventions and other treatments for patients.
Analysis of outcome measures for differential treatments, accounting for the full patient pathway.
Analysis to understand emergency care and linking A&E and Emergency Urgent Care Flows (EUCC).
Commissioning cycle support for grouping and re-costing previous activity.
Enables monitoring of:
CCG outcome indicators.
Non-financial validation of activity.
Successful delivery of integrated care within the CCG.
Checking frequent or multiple attendances to improve early intervention and avoid admissions.
Case management.
Care service planning.
Commissioning and performance management.
List size verification by GP practices.
Understanding the care of patients in nursing homes and social care.
Feedback to NHS service providers on data quality at an aggregate and individual record level – only on data initially provided by the service providers.
New commissioning and service delivery models delivered via joint health and social care teams reducing duplication
Reduction in variation of outcomes and quality of care through increased understanding of primary and secondary care interaction. E.g. if cancer treatment outcomes are poor in one area does the GP data indicate a delayed referral?
A complete understanding of service utilisation to aid capacity/demand planning across health and social care
Early warning of likely pressures in the wider health and system following increased activity in primary and social care giving other providers a chance to plan and react

Outputs:

Specific outputs expected, including target date:
Invoice Validation
Addressing poor data quality issues
Production of reports for business intelligence
Budget reporting
Validation of invoices for non-contracted events

Risk Stratification
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.
Output from the risk stratification tool will provide aggregate reporting of number and percentage of population found to be at risk.
Record level output will be available for commissioners (of the CCG), pseudonymised at patient level.
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 CCG will be able to target specific patient groups and enable clinicians with the duty of care for the patient to offer appropriate interventions. The CCG will also be able to:
Stratify populations based on: disease profiles; conditions currently being treated; current service use; pharmacy use and risk of future overall cost
Plan work for commissioning services and contracts
Set up capitated budgets
Identify health determinants of risk of admission to hospital, or other adverse care outcomes.

Commissioning
Commissioner reporting:
Summary by provider view - plan & actuals year to date (YTD).
Summary by Patient Outcome Data (POD) view - plan & actuals YTD.
Summary by provider view - activity & finance variance by POD.
Planned care by provider view - activity & finance plan & actuals YTD.
Planned care by POD view - activity plan & actuals YTD.
Provider reporting.
Statutory returns.
Statutory returns - monthly activity return.
Statutory returns - quarterly activity return.
Delayed discharges.
Quality & performance referral to treatment reporting.
Readmissions analysis.
Production of aggregate reports for CCG Business Intelligence.
Production of project / programme level dashboards.
Monitoring of acute / community / mental health quality matrix.
Clinical coding reviews / audits.
Budget reporting down to individual GP Practice level.
GP Practice level dashboard reports include high flyers.
All of the above segmented in to population groups
Analysis across health and social care by patient (outputs aggregated) providing a greater understand of service interdependencies and opportunities for a single service delivery model where overlap may exist currently
Variation reporting between primary and secondary care (e.g. where one care setting suggests the patient has a condition but the other does not potentially leading to inappropriate treatment)
Delayed transfers of care analysis

Processing:

Processing activities:
Data must only be used as stipulated within this Data Sharing Agreement.

Data Processors must only act upon specific instructions from the Data Controller.

Data can only be stored at the addresses listed under storage addresses.

The Data Controller and any Data Processor will only have access to records of patients of residence and registration within the CCG. Access is limited to those substantive employees with authorised user accounts used for identification and authentication. Data is only linked for the purposes outlined in this DSA.

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.

CCGs should work with general practices within their CCG to help them fulfil data controller responsibilities regarding flow of identifiable data into risk stratification tools.

No record level data will be linked other than as specifically detailed within this application/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 of interest of the applicant.
The DSCRO (part of NHS Digital) will apply Type 2 objections before any identifiable data leaves the DSCRO.

Invoice Validation
Identifiable SUS Data is obtained from the SUS Repository to the Data Services for Commissioners Regional Office (DSCRO).
The DSCRO pushes a one-way data flow of SUS data into the Controlled Environment for Finance (CEfF) in the North of England Commissioning Support Unit (CSU).
The CSU carry out the following processing activities within the CEfF for invoice validation purposes:
Checking the individual is registered to a particular Clinical Commissioning Group (CCG) and associated with an invoice from the SUS data flow to validate the corresponding record in the backing data flow
Once the backing information is received, this will be checked against national NHS and local commissioning policies as well as being checked against system access and reports provided by NHS Digital to confirm the payments are:
In line with Payment by Results tariffs
are in relation to a patient registered with a CCG GP or resident within the CCG area.
The health care provided should be paid by the CCG in line with CCG guidance.
The CCG are notified that the invoice has been validated and can be paid. Any discrepancies or non-validated invoices are investigated and resolved between North of England CSU CEfF team and the provider meaning that no identifiable data needs to be sent to the CCG. The CCG only receives notification to pay and management reporting detailing the total quantum of invoices received pending, processed etc.

Risk Stratification
Identifiable SUS data is obtained from the SUS Repository to the Data Services for Commissioners Regional Office (DSCRO).
Data quality management and standardisation of data is completed by the DSCRO and the data identifiable at the level of NHS number is transferred securely to North of England Commissioning Support Unit (CSU), who hold the SUS data within the secure Data Centre on N3.
Identifiable GP Data is securely sent from the GP system to North of England CSU.
SUS data is linked to GP data in the risk stratification tool by the data processor.
As part of the risk stratification processing activity, GPs have access to the risk stratification tool within the data processor, which highlights patients with whom the GP has a legitimate relationship 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.
Once North of England CSU has completed the processing, the CCG can access the online system via a secure N3 connection to access the data pseudonymised at patient level.

Commissioning
The Data Services for Commissioners Regional Office (DSCRO) obtains the following data sets:
SUS
Local Provider Flows (received directly from providers)
Acute
Ambulance
Community
Demand for Service
Diagnostic Service
Emergency Care
Experience, Quality and Outcomes
Mental Health
Other Not Elsewhere Classified
Population Data
Primary Care Services
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)
Diagnostic Imaging Data Set (DIDS)
Data quality management and pseudonymisation is completed within the DSCRO and is then disseminated as follows:
Data Processor 1 – North of England Commissioning Support Unit (CSU)
Data quality management and pseudonymisation of data is completed by the DSCRO and the pseudonymised data (Flow 1, 2 and 3) is then held until completion of points 2 – 7.
North of England CSU also receive GP Data. It is received as follows:
Identifiable GP data is submitted to the CSU.
The data lands in a ring fenced area for GP data only .
There is a Data Processing Agreement in place between the GP and the CSU. A specific named individual within the CSU acts on behalf on the GP. This person has been issued with a black box.
The individual requests a pseudonymisation key from the DSCRO to the black box. The key can only be used once. The key is specific to that GP and the pseudonymisation request. The individual does not have access to the data once it has been passed on to the CSU.
The GP data is then pseudonymised using the black box and DSCRO issued key – the clear data is then deleted from the ring fenced area.
The CSU are then sent the identifiable GP data with the pseudo key specific to them.
North of England CSU also receive a pseudonymised flow of social care data. Social Care data is received as follows:
The social care organisation is issued with their own black box solution.
The social care organisation requests a pseudonymisation key from the DSCRO to the black box. The key can only be used once. The key is specific to that organisation and the pseudonymisation request.
The social care organisation submit the pseudonymised social care data to the CSU with the pseudo algorithm specific to them.
Once the pseudonymised GP data and social care data is received, the CSU make a request to the DSCRO.
The DSCRO then send a mapping table to the CSU
The CSU then overwrite the organisation specific keys with the DSCRO key.
The mapping table is then deleted.
The DSCRO then pass the pseudonymised SUS, local provider data, Mental Health (MHSDS, MHMDS, MHLDDS), Maternity (MSDS), Improving Access to Psychological Therapies (IAPT), Child and Young People’s Health (CYPHS) and Diagnostic Imaging (DIDS) securely to North of England CSU for the addition of derived fields, linkage of data sets and analysis.
Social care and GP data is then linked to the data sets listed within point 9 in the CSU utilising algorithms and analysis
Aggregation of required data for CCG management use will be completed by the CSU as instructed by the CCG.
Patient level data will not be shared outside of the Data Processor/Controller and will only be shared within the Data Processors 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

Project 3 — NIC-36826-Z4F4K

Type of data: information not disclosed for TRE projects

Opt outs honoured: N, Y

Legal basis: Health and Social Care Act 2012, Section 251 approval is in place for the flow of identifiable data

Purposes: ()

Sensitive: Sensitive

When:2017.06 — 2017.05.

Access method: Ongoing

Data-controller type:

Sublicensing allowed:

Datasets:

Local Provider Data - Acute
Local Provider Data - Ambulance
Local Provider Data - Community
Local Provider Data - Demand for Service
Local Provider Data - Diagnostic Services
Local Provider Data - Emergency Care
Local Provider Data - Experience Quality and Outcomes
Local Provider Data - Public Health & Screening services
Local Provider Data - Mental Health
Local Provider Data - Other not elsewhere classified
Local Provider Data - Population Data
Local Provider Data - Primary Care
Mental Health and Learning Disabilities Data Set
Mental Health Minimum Data Set
Mental Health Services Data Set
SUS Accident & Emergency data
SUS Admitted Patient Care data
SUS Outpatient data
Children and Young People's Health Services Data Set
Improving Access to Psychological Therapies Data Set
Maternity Services Dataset
SUS (Accident & Emergency, Inpatient and Outpatient data)
Local Provider Data - Acute, Ambulance, Community, Demand for Service, Diagnostic Services, Emergency Care, Experience Quality and Outcomes, Mental Health, Other not elsewhere classified, Population Data, Primary Care, Public Health & Screening services

Objectives:

Invoice Validation
As an approved Controlled Environment for Finance (CEfF), the data processor receives SUS data identifiable at the level of NHS number to undertake invoice validation on behalf of the CCG. In order to support commissioning of patient care by validating non-contracted activity in the CCG, this data is required for the purpose of invoice validation. NHS number is only used to confirm the accuracy of backing-data sets and will not be shared outside of the CEfF. The CCG are advised by the CSU whether payment for invoices can be made or not.

Risk Stratification
This is an application to use SUS data identifiable at the level of NHS number for the purpose of Risk Stratification. Risk Stratification provides a forecast of future demand by identifying high risk patients. This enables commissioners to initiate proactive management plans for patients that are potentially high service users.

Pseudonymised – SUS and Local Flows
Application for the CCG to use pseudonymised data to provide intelligence to support commissioning of health services. 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.

The CCGs commission services from a range of providers covering a wide array of services. Each of the data flow categories requested supports the commission activity of one or more providers. Equally the underpinning categories such as “experience, quality and outcomes” are applicable to all commissioned services and support the flows of data evidencing the quality of patient care.

Data is generally requested for a 5 year period – this is to ensure any commissioning decisions based on analysis produced from the data supplied are robust and supported by clear evidence. Utilising only 1, 2 or 3 years of data is not sufficient to ensure long term patient trends are reflected. For example a couple of back to back mild winters would skew the true trend of increased COPD admissions during the winter period.

The above applies to all the locally requested datasets as well as SUS as a complete picture of health services is required to underpinned major commissioning decisions. E.g. closing a community hospital would require analysis of acute services, ambulance journeys, diagnostic services, clinical screening, the impact primary care, patient experience and outcomes. An understanding of the population and demand for services would also be needed.

Without a complete and comprehensive understanding of all local health services decisions cannot be made that stand up to significant public, political and media scrutiny.

SUS data is requested for a longer period as due a particular requirement of the NHS standard contract commissioners are required to manage emergency admissions back to a threshold level set on 2008 activity. Each year 2008/09 SUS data is re-processed to reflect local commissioning arrangements, new national guidance/tariffs and a threshold figure recalculated. A record level dataset is required to complete this task.

The CCG is one of nine demonstrator sites for the Integrated Personal Commissioning (IPC) Programme. IPC is a new approach to joining up health, social care and other services at the level of the individual. It enables people, carers and families to blend and control the resources available to them across the system in order to ‘commission’ their own care through personalised care planning and personal budgets. In order to support the delivery of this there is a requirement for IPC sites to link data across health and social care to enable appropriate establishing of cohorts, to establish costs relating to these cohorts and for individuals within these cohorts, to allow a personal budget to be offered to patients/service users, and to support the care planning process for individuals identified through the IPC programme.

The benefits to patients and commissioners would be that costs of care would be identified across the care pathway and the provision of services could be targeted more efficiently with added benefit to the service user or patient.

In order to meet the requirements of IPC the CCG requires pseudonymised SUS data to be linked with social care data. This would be achieved by using The University Of Nottingham’s Open Source standalone windows desktop application called OpenPseudonymiser. This is held within the DSCRO.

Pseudonymised – Mental Health, Maternity, IAPT, CYPHS and DIDS
Application for the CCG to use MHSDS, MHMDS, MHLDDS, MSDS, IAPT, CYPHS and DIDs linked and pseudonymised data to provide intelligence to support commissioning of health services. The linked, 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.

Data is generally requested for a 5 year period – this is to ensure any commissioning decisions based on analysis produced from the data supplied are robust and supported by clear evidence. Utilising only 1, 2 or 3 years of data is not sufficient to ensure long term patient trends are reflected.

No record level data will be linked other than as specifically detailed within this application/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 the HSCIC will not be national data, but only that data relating to the specific locality of interest of the applicant.

Expected Benefits:

Invoice Validation
1) Financial validation of activity
2) CCG Budget control
3) Commissioning and performance management
4) Meeting commissioning objectives without compromising patient confidentiality
5) The avoidance of misapproproation of public funds to ensure the on-going delivery of patient care

Risk Stratification
Risk stratification promotes improved case management in primary care and will 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) 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.
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) 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.
5) Better understanding of the health of and the variations in health outcomes within the population to help understand local population characteristics.
All of the above lead to improved patient experience through more effective commissioning of services.

Pseudonymised – SUS and Local Flows
1) Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management and pathways.
2) 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) flows
3) Commissioning cycle support for grouping and re-costing previous activity
4) Enables monitoring of:
a) CCG outcome indicators
b) Non-financial validation of patient level data
c) Successful delivery of integrated care within the CCG
d) Checking frequent or multiple attendances to improve early intervention and avoid admissions
e) Commissioning and performance management
5) Feedback to NHS service providers on data quality at an aggregate level

Pseudonymised – Mental Health, Maternity, IAPT, CYPHS and DIDS
1) Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management and pathways.
2) Supporting Joint Strategic Needs Assessment (JSNA) for specific disease types.
3) Health economic modelling using:
(a) Analysis on provider performance.
(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.
4) Commissioning cycle support for grouping and re-costing previous activity.
5) Enables monitoring of:
(a) CCG outcome indicators.
(b) 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.

Outputs:

Invoice Validation
1) Addressing poor data quality issues
2) Production of reports for business intelligence
3) Budget reporting
4) Validation of invoices for non-contracted events

Risk Stratification
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) Output from the risk stratification tool will provide aggregate reporting of number and percentage of population found to be at risk with no identifiers

3) Record level output will be available for commissioners in anonymised or pseudonymised format.

4) 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.

Pseudonymised – SUS and Local Flows
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.

Pseudonymised – Mental Health, Maternity, IAPT, CYPHS and DIDS
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.

Processing:

Invoice Validation
1) SUS Data is sent from the SUS Repository to North England DSCRO. Prior to the release of SUS data by GEM DSCRO Type 2 objections will be applied and the relevant patients data redacted.
2) DSCRO North England pushes a one-way data flow of SUS data into the Controlled Environment for Finance (CEfF) in the North of England CSU (Data Processor 1).

2) The CSU carry out the following processing activities within the CEfF for invoice validation purposes:

a) Checking the individual is registered to a particular Clinical Commissioning Group (CCG) by using the derived commissioner field in SUS and associated with an invoice from the national SUS data flow to validate the corresponding record in the backing data flow

b) Once the backing information is received, this will be checked against national NHS and local commissioning policies to confirm the payments are:
- In line with Payment by Results tariffs
- are in relation to a patient registered with a CCG GP or resident within the CCG area.
- The health care provided should be paid by the CCG in line with CCG guidance.
3) The CCG are notified that the invoice has been validated and can be paid. Any discrepancies or non-validated invoices are investigated and resolved between the CSU CEfF team and the provider meaning that no data needs to be sent to the CCG. The CCG only receives notification to pay and management reporting detailing the total quantum of invoices received, pending, processed etc.

Risk Stratification
1) SUS Data is sent from the SUS Repository to North England DSCRO. Prior to the release of SUS data by GEM DSCRO Type 2 objections will be applied and the relevant patients data redacted.
2) SUS data identifiable at the level of NHS number regarding hospital admissions, A&E attendances and outpatient attendances is delivered securely from Data Services for Commissioners Regional Office (DSCRO) North England to the data processor.
3) Data quality management and standardisation of data is completed by the DSCRO and the data identifiable at the level of NHS number is transferred securely to North of England CSU (Data Processor 1), who hold the SUS data within the secure Data Centre on N3.
4) SUS data is linked to GP data in the risk stratification tool by the data processor.
5) As part of the risk stratification processing activity, GPs have access to the risk stratification tool within the data processor, which highlights patients with whom the GP has a legitimate relationship 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.
6) North of England CSU who hosts the risk stratification system that holds SUS data is limited to those administrative staff with authorised user accounts used for identification and authentication.
7) Once North of England CSU has completed the processing, the CCG can access the online system via a secure N3 connection to access the data pseudonymised at patient level.

Pseudonymised – SUS and Local Flows
Flow 1 -
1) North England Data Services for Commissioners Regional Office (DSCRO) receives a flow of SUS identifiable data for the CCG from the SUS Repository. North England DSCRO also receives identifiable local provider data for the CCG directly from Providers.
2) Data quality management of data is completed by the DSCRO. The DSCRO pseudonymises the data using the DSCRO Pseudonymiser application and the data is then passed securely to North England CSU for the addition of derived fields, linkage of data sets and analysis.
3) North of England CSU then pass the processed, pseudonymised and linked data to the CCG who analyse the data to see patient journeys for pathways or service design, re-design and de-commissioning.
4) Patient level data will not be shared outside of the CCG. External aggregated reports only.
Flow 2 – (Hartlepool and Stockton-on-Tees CCG only)
1) North England Data Services for Commissioners Regional Office (DSCRO) receives a flow of SUS identifiable data for the CCG from the SUS Repository. North England DSCRO also receives identifiable local provider data for the CCG directly from Providers.
2) Data quality management of data is completed by the DSCRO. The DSCRO pseudonymises the data using the Open Pseudonymiser application and the data is then passed securely to North England CSU for the addition of derived fields, linkage of data sets and analysis.
3) Stockton-on-Tees Borough Council pseudonymises Social Care Data using the Open Pseudonymiser application and the data is then passed securely to North England CSU for the addition of derived fields, linkage of data sets and analysis.
4) North of England CSU only link the SUS, Local Flows and Social Care data for this purpose. No other data will be linked.
5) North of England CSU send aggregate reports to the CCG and to Stockton-on-Tees Council. No record level data will be shared by the CSU.
6) External aggregated reports with small number suppression will be shared out of the CCG only.
The pseudonymisation process and keys used will not be used for any other commissioning data flows distributed by the DSCRO thus preventing linkage beyond the scope of this project.

Pseudonymised – Mental Health, MSDS, IAPT, CYPHS and DIDS
1) North England Data Services for Commissioning Regional Office (DSCRO) will receive a flow of pseudonymised patient level data for each CCG for Mental Health (MHSDS, MHMDS, MHLDDS), Improving Access to Psychological Therapies (IAPT), Maternity (MSDS), Child and Young People’s Health (CYPHS) and Diagnostic Imaging (DIDS) for commissioning purposes
2) Data quality management of data is completed by the DSCRO and the pseudonymised data is then passed securely to North England CSU for the addition of derived fields, linkage of data sets and analysis. Linkage is not with other datasets just between the data contained within the dataset itself.
3) North of England CSU then pass the processed, pseudonymised and linked data to the CCG who analyse the data to see patient journeys for pathways or service design, re-design and de-commissioning.
4) The CCG analyses the data to see patient journeys for pathway or service design, re-design and de-commissioning
5) The CCG completes aggregation of required data for CCG management use – disclosing any outputs at the appropriate level.
6) Patient level data will not be shared outside of the CCG. External aggregated reports only.