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Commissioning datasets

Find out about our commissioning datasets.

Datasets flowing and in development

Our datasets are listed here. Find out more about them by expanding each one.

Assuring Transformation Dataset (AT)

About the dataset

The Department of Health published 'Transforming Care: A national response to Winterbourne View Hospital and the Concordat: Programme of Action' in December 2012. The review of services received indicated that failings were widespread within the operating organisation, but importantly, also evident across the wider care system. The Concordat and 63 actions detailed within the review seek to address poor and inappropriate care and achieve the best outcomes for people with a learning disability or autism, who may also have mental health needs or behaviour that challenges.

The purpose of the AT data collection is to ensure that the public awareness of the NHS commitments in the Winterbourne View Concordat is transparent and robust. It will also be used to triangulate with the Learning Disability Census, completed by providers on 30 September 2015. This process is important for informing and influencing The Winterbourne View Joint Improvement Programme.

AT data collects information about individuals with learning disabilities and/or autism, who may have a mental health condition or behaviour that challenges, in in-patient settings, and provides it to the Clinical Commissioning Group (CCG). It gives the CCG broad oversight of their care.

The information collected and shared includes personal data such as name, address, date of birth and special category data such as health details. The AT data is sent to the CCG from healthcare providers and is then shared with NHS Digital on NHS England’s behalf. It covers all people with learning disabilities and/or autism that are being cared for in inpatient settings. The information collected is published in reports by NHS Digital. The reports don’t include any personal information, like names, birthdays or NHS numbers in them. 

Governance

Direction

NHS Digital has been given directions by NHS England under section 254 of the Health and Social Care Act 2012; to establish and operate a system for the collection and analysis of the information specified for this service. The direction came into force on 1 November 2015.

Legal basis to collect the data

The Health and Social Care Act 2012 sections 254(1), (3) and (6).

Legal basis to disseminate the data

The Health and Social Care Act 2012 sections 262(3)(b), 262(7).

Legal basis for processing the data

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3).

The Lawful basis for processing this information is provided by GDPR Article 6(1)(e) – processing is necessary for the performance of a task carried out in the exercise of official authority vested in the controller. For Special Category Data the lawful basis for processing is GDPR Article 9(2)(h) processing is necessary for the purposes of the provision of health or social care treatment or the management of health or social care systems and services.

The lawful basis for processing your information is provided by Section 251 of the NHS Act 2006. This section allows the Secretary of State for Health to give limited permission for the CCG to use certain categories of personal information when it is necessary for our work other than purposes which relate to your direct care.

The approval is given under regulations made under Section 251 and is based on the approval of the Health Research Authority’s (HRA) Confidentiality Advisory Group (CAG).

NHS England has obtained Section 251 support (approval under the Health Service (Control of Patient Information) Regulations 2002) to collect AT data from providers of specialised mental health services, and to receive the AT Dataset from NHS Digital.

Data Provision Notice

To be confirmed.

Transparency Notice

NHS Digital has published a transparency notice covering this data.

Technical information

Production schedule 

Monthly data is processed on the first day of the following month.

Lag time from collection to dissemination

This data is issued to the DSCROs shortly after the processing.

Dissemination method and frequency

The data is disseminated to DSCROs monthly via Secure Electronic File Transfer (SEFT).

Data extraction process

This is fully automated. Once the monthly AT data is loaded into the SQL database on pl-l-mhssql-l1, a separate SSIS package is executed that extracts the relevant data, puts it into a csv file and then places the csv file into Steve Johns’ SEFT folder. A scheduled monthly Agent Job is responsible for executing the two SSIS packages that 1) loads the data into the SQL database and 2) create/release the extract. Please note that AT data is moving to DAE in April and SSIS won’t be the mechanism by which data extracts are produced. 

Commissioning Extracts Specification

Assuring Transformation specification.

Civil Registration of Births Dataset

About the dataset 

To be confirmed.

Governance

Direction

Sections 254(1) and (6), 274(2) and 304(9), (10), (11) and (12) of the Health and Social Care Act 2012 and Regulation 32 of the National Institute for Health and Social Care Excellence (Constitution and Functions) and the Health and Social Care Information Centre (Functions) Regulations 2013.

Legal basis to collect the data

The collection of the Commissioning Dataset (CDS) and subsequent processing into Hospital Episode Statistics (HES) is under The Health and Social Care Information Centre (Spine Services) (No. 2) (Service N – Secondary Uses Service) Directions 2014

Legal basis to disseminate the data

There are no restrictions on the dissemination of this data.

Legal basis for processing the data

GDPR Article 6(1)(e), Article 9(2)(h).

Data Provision Notice

Health and Social Care Act 2012 - Section 261(5)(d).

Transparency Notice 

Our GDPR register shows how NHS Digital uses personal data, in line with the General Data Protection Regulation (GDPR). 

Technical information

Production schedule 

Towards the end of each month.

Lag time from collection to dissemination

Three months - so September's data is sent in December.

Dissemination method and frequency

JSON lines by MESH to DSCROs on a monthly basis.

Data extraction process

Helen Payne runs two SSIS packages. The first is to create the extract, the second is to MESH the extract to the DSCROs.  

Commissioning extracts specification

Births Dataset specification.

Civil Registration of Deaths Dataset

About the dataset 

To be confirmed.

Governance

Direction

Sections 254(1) and (6), 274(2) and 304(9), (10), (11) and (12) of the Health and Social Care Act 2012 and Regulation 32 of the National Institute for Health and Social Care Excellence (Constitution and Functions) and the Health and Social Care Information Centre (Functions) Regulations 2013.

Legal basis to collect the data

The collection of the Commissioning Dataset (CDS) and subsequent processing into Hospital Episode Statistics (HES) can be found under The Health and Social Care Information Centre (Spine Services) (No. 2) (Service N – Secondary Uses Service) Directions 2014

Legal basis to disseminate the data

There are no restrictions on the dissemination of this data.

Legal basis for processing the data

GDPR Article 6(1)(e), Article 9(2)(h).

Data Provision Notice

Health and Social Care Act 2012 - Section 261(5)(d).

Transparency Notice

Our GDPR register details on how NHS Digital uses personal data, in line with the General Data Protection Regulation (GDPR).

Technical information

Production schedule 

Every Tuesday.

Lag time from collection to dissemination

Between 7 and 10 days.

Dissemination method and frequency

MESH to DSCROs on a weekly basis.

Data extraction process

This is an automated process.

Commissioning extracts specification

Deaths Dataset specification.

Community Services Dataset (CSDS) 

About the dataset

The Community Services Dataset (CSDS) is a patient level, output based, secondary uses dataset which will deliver robust, comprehensive, nationally consistent, and comparable person-centred information for people who are in contact with publicly funded Community Services.

The CSDS is an update to the Children and Young People’s Health Services (CYPHS) dataset standard (ref: SCCI 1069) so that the scope includes data for people of all ages in receipt of publicly funded Community Services. The CYPHS dataset collects data for all patients aged 0 up until their nineteenth birthday. The CSDS supersedes the CYPHS dataset.

As a secondary uses dataset it intends to re-use clinical and operational data for purposes other than direct patient care. It defines the data items, definitions, and associated value sets to be extracted or derived from local systems.

Governance

Direction

Community Services Dataset Directions 2020.

Legal basis for the collection of data

The Health and Social Care Act 2012 sections 254(1), (2a) and (6).

Legal basis for the provision of data

The Health and Social Care Act 2012 sections 259(1), (2) and (5).

Legal basis for processing the data

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3).

Data Provision Notice

Community Services Dataset Data Provision Notice.

Transparency Notice

NHS Digital has published a transparency notice covering this data.

Technical information

Implementing the Community Services Dataset (CSDS) v1.5 tools and guidance.

Production schedule 

The submission window closes at the end of each month, and production follows a few working days after.

Lag time from collection to dissemination

Approximately 3 working days after the submission window.

Dissemination method and frequency

The dataset is disseminated via JSON lines by MESH to DSCROs on a monthly basis.

Data extraction process

  1. Receive submissions during submission windows from Portal.  Do validations and derivations that can be done on ingestion (automatic). 
  2. When the submission windows close, do derivations that require all of the data submitted throughout the submission window (triggered manually). 
  3. Publish the data to the DAE assets (triggered manually).

Commissioning extracts specification

Community Services Dataset specification.

Diagnostic Imaging Dataset (DIDS)

About the dataset

The Diagnostic Imaging Dataset (DIDS) is a central collection of detailed information about diagnostic imaging tests carried out on NHS patients, extracted from local Radiology Information Systems (RISs) and submitted monthly.

The DIDS captures information about referral source and patient type, details of the test (type of test and body site), demographic information such as GP registered practice, patient postcode, ethnicity, gender, and date of birth, plus items about waiting times for each diagnostic imaging event, from time of test request through to time of reporting. NHS Digital collect the dataset at patient level. It is reported here in summary form as Official Statistics.

Governance

Direction

Establishment of information Systems for NHS Services: diagnostic imaging dataset Directions 2016..

Legal basis for the collection of data

The Health and Social Care Act 2012 sections 254(1), (2a) and (6).

Legal basis for the provision of data

The Health and Social Care Act 2012 sections 259(1), (2) and (5).

Legal basis for processing the data

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3).

Data Provision Notice

To be confirmed.

Transparency notice

NHS Digital has published a transparency notice covering this dataset.

Technical information

Production schedule 

Sometime after Super Stats Thursday before month end.

Lag time from collection to dissemination

4 complete months (such as activity up to the end of September 2020 is due for dissemination at the end of January 2021).

Dissemination method and frequency

This dataset is disseminated via JSON lines by MESH to DSCROs on a monthly basis.

Data extraction process

This is a manual process.

Commissioning extracts specification

Diagnostic Imaging Dataset (DIDS) specification.

Improving Access to Psychological Therapies (IAPT)

About the dataset 

IAPT is a patient level, output based, secondary uses dataset which aims to deliver robust, comprehensive, nationally consistent and comparable person-based information for people referred to NHS-commissioned adult IAPT services for depression and anxiety in England. 

The IAPT programme began in 2008 and has transformed treatment of adult anxiety disorders and depression in England. Over 900,000 people now access IAPT services each year, and the Five Year Forward View for Mental Health committed to expanding services further, alongside improving quality. 

The data collected by NHS Digital will be used to measure the success of the Adult IAPT programme. 

Governance 

Direction 

NHS Digital has been directed by NHS England under section 254 of the Health and Social Care Act 2012; to establish and operate a system for the collection and analysis of the information specified for this service. The direction came into force on 1 April 2018.

Legal basis for the collection of data 

The Health and Social Care Act 2012 sections 254(1), (3) and (6).

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3).

Data Provision Notice 

The latest data provision notice was published on 2 July 2020.

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Technical information 

Submitting IAPT data.

Production schedule  

Submission window closes end of the month production follows a few working days after. 

Lag time from collection to dissemination 

A approximately 3 working days after submission window. 

Dissemination method and frequency 

IAPT data is available from the Strategic Data Collection Service (SDCS) 

It is disseminated on a monthly basis. 

Data extraction process 

  1. Receive submissions during submission windows from Portal.  Do validations and derivations that can be done on ingestion (automatic). 
  2. When the submission windows close, do derivations that require all of the data submitted throughout the submission window (triggered manually). 
  3. Publish the data to the DAE assets (triggered manually). 

Commissioning extracts specification 

Improving Access to Psychological Therapies specification

Maternity Services Dataset (MSDS) 

About the dataset 

MSDS is a patient-level dataset that captures information at each stage of the maternity care pathway, including mother’s demographics, booking appointments, admissions and re-admissions, screening tests, labour and delivery along with baby’s demographics, admissions, diagnoses and screening tests. 

The MSDS provides a national standard for gathering data from maternity healthcare providers in England by covering key information captured from NHS-funded maternity services. The MSDS provides comparative data used to improve clinical quality and service efficiency and to commission services in a way that improves health and reduces inequalities.

The data collected will assist care providers, commissioners, clinicians, service users and members of the wider public in understanding what maternity care is delivered, supporting commissioning, payment, planning and outcomes monitoring. 

Governance 

Direction 

Establishment of information systems for NHS Services: maternity services Directions 2018

Legal basis for the collection of data 

The Health and Social Care Act 2012 sections 254(1), (3) and (6)

Legal basis for the provision of the data 

The Health and Social Care Act 2012 sections 259(1), (2) and (5)

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Data Provision Notice 

Maternity Services Dataset Data Provision Notice. 

Transparency notice 

To be confirmed.

Independent Group Advising on the Release of Data (IGARD) 

IGARD independently assesses applications for data. This ensures that the use of patient data within research, academia, the public and private sector is done in controlled environments, where any risks of disclosure are minimised. 

The MSDS v2.0 briefing paper was presented to IGARD on 20 December 2018. 

Technical information 

Implementing the Maternity Services Dataset (MSDS) v2.0 tools and guidance.

Production schedule  

Submission window closes end of the month production follows a few working days after. 

Lag time from collection to dissemination 

A approximately 3 working days after submission window. 

Dissemination method and frequency 

MSDS is disseminated to the DSCRO’s monthly in JSON lines format over MESH. 

Data extraction process 

We receive submissions during submission windows from Portal. Do validations and derivations that can be done on ingestion (automatic).

When the submission windows close, do derivations that require all of the data submitted throughout the submission window (triggered manually).

We publish the data to the DAE assets (triggered manually).

Commissioning extracts specification 

Maternity Services Dataset specification

Mental Health Services Dataset (MHSDS) 

About the dataset 

The MHSDS is a patient level, output based, secondary uses dataset which delivers robust, comprehensive, nationally consistent, and comparable person-based information for children, young people and adults who are in contact with Mental Health Services. As a secondary uses dataset it intends to re-use clinical and operational data for purposes other than direct patient care. 

The MHSDS brings together information captured on clinical systems as part of patient care.

It covers: 

  • adult and older adult mental health 
  • children and young people's mental health  
  • learning disabilities or autism spectrum disorders 

The MHSDS covers not only services provided in hospitals but also outpatient clinics and in the community, where the majority of people in contact with these services are treated. 

Governance 

Legal basis for the collection of data 

Establishment of information systems for NHS Services: mental health services directions 2015

Legal basis for the provision of the data 

In line with section 259(5) of the Health and Social Care Act 2012, all organisations in scope (see Scope of the Collection in the data provision notice), in England, must comply with the requirement and provide information to NHS Digital in the form, manner and period specified in this Data Provision Notice. 

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Data Provision Notice 

Mental Health Services Dataset Data Provision Notice

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Independent Group Advising on the Release of Data (IGARD) 

IGARD independently assesses applications for data. This ensures that the use of patient data within research, academia, the public and private sector is done in controlled environments, where any risks of disclosure are minimised. 

Technical information 

Submit data to the Mental Health Services Dataset.

Production schedule  

Submission window closes end of the month production follows a few working days after. 

Lag time from collection to dissemination 

Approximately 3 working days after submission window. 

Dissemination method and frequency 

MHSDS is disseminated to DSCRO’s monthly by MESH

Data extraction process 

  • Receive submissions during submission windows from Portal.  Do validations and derivations that can be done on ingestion (automatic). 
  • When the submission windows close, do derivations that require all of the data submitted throughout the submission window (triggered manually). 
  • Publish the data to the DAE assets (triggered manually). 

Commissioning extracts specification 

To be confirmed. 

National Cancer Waiting Times Monitoring Dataset (CWT) - current

About the dataset 

Collection of Cancer Waiting Times (CWT) data has been running since 2001 with a number of changes and updates taking place since then which have received successive Information Standards Notices (ISN) 00147 and Standardisation Committee for Care Information (SCCI) accreditation. 

This collection monitors Cancer Waiting Times (CWT) to ensure the NHS can continue to monitor cancer waiting times consistently.  Improving CWT and ensuring that patients receive a diagnosis and treatment as quickly as possible is a key objective for NHS England (NHSE). 

Governance 

Direction 

National cancer waiting times monitoring (SCCI0147) Directions 2016

Legal basis for the collection of the data 

The Health and Social Care Act 2012 sections 254(1), (3) and (6)

Legal basis for the provision of data 

The Health and Social Care Act 2012 sections 259(1), (2) and (5)

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Data Provision Notice 

Cancer Waiting Times (CWT) Data Provision Notice

Technical information 

Production schedule  

Approximately the end of the month or the beginning of the next month. 

Lag time from collection to dissemination 

Approximately 3 working days after submission window. 

Dissemination method and frequency 

Cancer waiting times data is available from the Strategic Data Collection Service (SDCS). 

Data retention and data destruction 

20 years minimum after no longer required. 

Data extraction process 

It is a manual data upload by analysts representing trusts that deliver cancer care. The data is then processed by CWT, with standards applied that ultimately allow the data to be reported on a monthly basis. The CWT system generates those reports automatically where they can be downloaded from the site. 

Commissioning extracts specification 

To be confirmed. 

National Diabetes Audit (NDA)

About the audit 

People with diabetes should receive annual care checks each year and should be achieving a target for their blood glucose, cholesterol and blood pressure values; these annual checks and targets are outlined in the National Institute for Health and Care Excellence (NICE) Clinical Guidelines and Quality Standards. 

The main NDA, known as the core audit, collects information from general practices and specialist diabetes out-patient services to look at whether people with diabetes are receiving their annual care checks, are achieving their treatment targets and looks at their health outcomes along with whether they have been offered and attended structured education. 

The audit findings are published in a national report as well as in general practice, Clinical Commissioning Group and specialist diabetes out-patient service level reports. 

The NDA helps improve the quality of diabetes care by enabling participating NHS services and organisations to: 

  • assess local practice against National Institute for Health and Care Excellence (NICE) guidelines 
  • compare their care and outcomes with similar services and organisations 
  • identify gaps or shortfalls that are priorities for improvement 
  • identify and share best practice 
  • provide comprehensive national pictures of diabetes care and outcomes in England and Wales 

Through participation in the audit, local services can benchmark their performance, identify where they are performing well, and improve the quality of treatment and care they provide. 

A Quality Improvement Toolkit has been developed in collaboration with the Royal College of General Practitioners (RCGP) to help practices use their diabetes data to improve services. 

Diabetes UK manages Quality Improvement Collaboratives (QIC) which set local aims to improve diabetes care. Using audit data, specialist services work together with other providers to develop skills, share learning and improve clinical practice. 

Governance 

Direction 

Establishment of information systems for NHS services: national diabetes audit directions 2017

Legal basis for the collection of the data 

The Health and Social Care Act 2012 sections 254(1), (3) and (6)

Legal basis for the provision of data 

The Health and Social Care Act 2012 sections 259(1), (2) and (5)

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Data Provision Notice 

National diabetes audit (core audit) Data Provision Notice

Technical information 

Production schedule  

The 2021 extract was released mid-January to the DSCROs, so approximately mid-month. 

Lag time from collection to dissemination 

Contains 15 months’ worth of data, e.g. 01/01/2019 to 31/03/2020, so in this example the lag will be 9.5 months. 

Dissemination method and frequency 

Dissemination is by MESH to DSCROs once per year. 

Data extraction process 

Helen Payne runs two SSIS packages. The first is to create the extract, the second is to MESH the extract to the DSCROs.  

Commissioning extracts specification 

National Diabetes Audit Dataset Specification

Patient Reported Outcome Measures Dataset (PROMS) 

About the dataset 

This dataset provides an indication of the outcomes or quality of care delivered to NHS patients and has been collected by all providers of NHS-funded care since April 2009. 

The PROMs publications contain provider level data and data for England and CCGs.  Registered providers can access data monthly via our provider extract service. Publications occur biannually in February and August and are provisional until the dataset is declared finalised. 

Following changes to the reporting schedule for publications finalised full-year data will now be published six months earlier. Previously published in August, this will now be February. This decision was made due to address reporting needs amongst key users of the data for calculating more-timely finalised PROMS data. 

PROMs data was collected on varicose vein and groin hernia procedures in England, however following on from the NHS England Consultation on PROMs, collection of these procedures ceased on 1 October 2017. Finalised data for varicose vein and groin hernia procedures for 2016/17 and for April 2017-September 2017 has now been published. Historical data will be unaffected. 

Governance 

Direction – commencement order

To be confirmed. 

Legal basis for the collection of the data 

The Health and Social Care Act 2012 sections 254(1), (3) and (6)

Legal basis for the provision of data 

The Health and Social Care Act 2012 sections 259(1), (2) and (5)

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Data Provision Notice 

To be confirmed. 

Technical information 

Production schedule  

Third Thursday of the month, apart from no releases in January or July as these are their publication months. Instead, February and August will each have two PROMS releases (one in second week, one in third week). 

Lag time from collection to dissemination 

Contains two years’ worth of data up to the end of the previous month (e.g. the December data extract included data up to November of previous year). We usually run the processing run on the second Thursday of each month which allows the suppliers to submit within the first 2 weeks. If all the providers have completed their monthly submissions, then we start the processing run which takes around 12 to 16 hours to complete.

The final process after that is to complete the post-processing run which takes around 2-3 hours to complete then we sent the data out the providers and DARS etc. So the lag time between data collection and dissemination is between 14 and 19 hours. 

Dissemination method and frequency 

Issued to DSCROs via MESH on a monthly basis. 

Data extraction process 

Helen Payne runs two SSIS packages. The first is to create the extract, the second is to MESH the extract to the DSCROs.  

Commissioning extracts specification 

Patient Reported Outcome Measures Dataset specification

Secondary Uses Service Dataset (SUS)

About the dataset 

When a patient or service user is treated or cared for, information is collected which supports their treatment. This information is also useful to commissioners and providers of NHS-funded care for 'secondary' purposes - purposes other than direct or 'primary' clinical care, such as: 

  • healthcare planning
  • commissioning of services 
  • National Tariff reimbursement 
  • development of national policy 

SUS is a secure data warehouse that stores this patient-level information in line with national standards and applies complex derivations which support national tariff policy and secondary analysis.  

Access to SUS is managed using Role-Based Access Control (RBAC) which grants appropriate access levels to identifiable, anonymised or pseudonymised data based on the user’s job role. 

Governance 

Legal basis for the collection of the data 

Sections 254(1) and (6), 260(1) and (2)(d), 261(1) and (2)(e), 274(2), 304(9) and (10) of the Health and Social Care Act 2012, and Regulation 32 of the National Institute for Health and Social Care Excellence (Constitution and Functions) and the Health and Social Care Information Centre (Functions) Regulations 2013

Legal basis for the provision of the data 

Sections 259(1)(a), 259(5) and 259(8) of the Health and Social Care Act 2012. 

Legal basis for processing the data 

GDPR Article 6(1)(e), Article 9(2)(h) and article 9(3)

Data controllers, data processors and interested parties 

Risk Stratification – NHS Digital and the Data Services for Commissioners Regional Offices (DSCROs) are the data controllers.

Direction 

To be confirmed. 

Data Provision Notice 

To be confirmed. 

Transparency notice 

NHS Digital has published a transparency notice covering this data. 

Independent Group Advising on the Release of Data (IGARD) 

IGARD independently assesses applications for data. This ensures that the use of patient data within research, academia, the public and private sector is done in controlled environments, where any risks of disclosure are minimised. 

Technical information 

Production schedule 

Data available day after submission. 

Lag time from collection to dissemination 

Data available day after submission. 

Dissemination method and frequency 

SUS data for commissioning purposes is currently available weekly via the SUS portal but is migrating to MESH on implementation of the unified specification. 

Data retention and data destruction 

The data is kept for a maximum of 20 years. 

Data extraction process 

Until the DSCROs move to using the unified extracts it is a manual two-step process. They must login to the SUS portal and request each extract that they want to be run. This puts the extract request into a queue. They then must login to the portal again once the extract has completed to download the data for each extract. There is no notification that an extract has completed so they sometimes have to login multiple times to see if their extract has finished and they can download it. 

Once they are using the unified extracts the entire process can be automated.  SUS will push delta extracts to the DSCROs MESH mailbox automatically and the DSCRO can then automate the process of scanning the MESH mailbox and automatically downloading and processing files when they land there. 

Commissioning extracts specification 

To be confirmed. 

Summary Hospital Mortality Indicator Dataset (SHMI)

About the dataset 

Following the recommendations from the National Review of the Hospital Standardised Mortality Ratio (HSMR), the Department of Health and Social Care (DHSC) commissioned NHS Digital to produce and publish the SHMI. As part of the review, DHSC also commissioned independent statistical modelling work, which was carried out by the School of Health and Related Research (ScHARR) at the University of Sheffield. 

The SHMI is a complex indicator which was developed using widespread expert input. The SHMI specification is published, including a set of control limits generated using an alternative methodology, to enable trusts and users of the SHMI to understand the data further and produce their own analysis. The methodology is published in a fully transparent way to enable local replication, academic critique, and future development.  

In March 2017, the National Quality Board introduced new guidance for NHS trusts on how they should learn from the deaths of people in their care. As part of this, trusts are required to publish information on the total number of inpatient deaths and the number that were subject to case record review. Of those deaths reviewed, trusts are also required to provide an estimate of the number that were judged more likely than not to have been due to problems in care. This data is not collected centrally, and data should not be compared between trusts due to differences in the case record review methodologies. 

As of the July 2020 publication, COVID-19 activity has been excluded from the SHMI. The SHMI is not designed for this type of pandemic activity and the statistical modelling used to calculate the SHMI may not be as robust if such activity were included. 

Governance 

Direction 

To be confirmed. 

Legal basis for the collection of the data 

The collection of the Commissioning Dataset (CDS) and subsequent processing into Hospital Episode Statistics (HES) is under The Health and Social Care Information Centre (Spine Services) (No. 2) (Service N – Secondary Uses Service) Directions 2014 .

Legal basis for the provision of data 

To be confirmed.

Legal basis for processing the data 

The legal basis for linking HES with Civil Registries Deaths data and processing into SHMI is under The Health and Social Care Information Centre (Spine Services) (No. 2) (Service N – Secondary Uses Service) Directions 2014.  The SUS entry is not exclusive and covers “enables a range of reporting and analyses to support the NHS in the delivery of healthcare services”. 

Transparency notice 

Find out how NHS Digital uses personal data, in line with the General Data Protection Regulation (GDPR). 

The SHMI Transparency Notice is publicly available.  

Data Provision Notice 

To be confirmed.

Technical information 

Production schedule 

Second Thursday of the month. 

Lag time from collection to dissemination 

Contains 5 years’ worth of data, the latest year is part year, so the January data extract includes the previous 5 years, with the latest year being part year month 7. 

Dissemination method and frequency 

Issued to DSCROs via MESH on a monthly basis. 

Data extraction process 

Helen Payne runs two SSIS packages. The first is to create the extract, the second is to MESH the extract to the DSCROs.  

Commissioning extracts specification 

Summary Hospital Mandatory Indicator Dataset (SHMIDS) specification

Datasets in development

e-Referral System Dataset (eRSDS)

Patient Level Medicines Dataset (PLM)

Sentinel Stroke National Audit Programme (SSNAP)

Patient Demographic Service (PDS)


Data Landing Platform – local flows


Data quality

The data quality team assesses the quality of data published by providers.

Access their publications and best practice.

Last edited: 21 July 2021 9:02 am