NHS Digital Data Release Register - reformatted

NHS Hartlepool And Stockton-on-tees Ccg

Project 1 — NIC-115934-P8P0X

Opt outs honoured: N, Y

Sensitive: Sensitive

When: 2017/12 — 2018/05.

Repeats: Ongoing

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

Categories: Anonymised - ICO code compliant, Identifiable

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

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

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.


Project 2 — NIC-36826-Z4F4K

Opt outs honoured: N, Y

Sensitive: Sensitive

When: 2016/12 — 2017/11.

Repeats: Ongoing

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

Categories: Anonymised - ICO code compliant, Identifiable

Datasets:

  • 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
  • Mental Health Services Data Set
  • Mental Health Minimum Data Set
  • Mental Health and Learning Disabilities Data Set
  • Improving Access to Psychological Therapies Data Set
  • Children and Young People's 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 - 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
  • SUS Accident & Emergency data
  • SUS Admitted Patient Care data
  • SUS Outpatient data
  • Maternity Services Dataset

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.

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.