This is a report on admitted patient care activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2022. It contains final data and replaces the provisional data that are released each month. The data are taken from the Hospital Episodes Statistics (HES) data warehouse. HES contains records of all admissions, appointments and attendances for patients at NHS hospitals in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with a number of breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Hospital Adult Critical Care (ACC) data are now included within this report, following the discontinuation of the 'Hospital Adult Critical Care Activity' publication. The ACC data tables are not a designated National Statistic and they remain separate from the APC data tables. The ACC data used in this publication draws on records submitted by providers as an attachment to the admitted patient care record. These data show the number of adult critical care records during the period, with a number of breakdowns including admission details, discharge details, patient demographics and clinical information. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This document will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Supplementary analysis has been produced, by NHS Digital, containing experimental statistics using the Paediatric Critical Care Minimum Data Set (PCCMDS) data, collected by NHS Digital, against activity published in NHS Reference Costs. This analysis seeks to assist users of the data in understanding the data quality of reported paediatric critical care data. Also included within this release, is supplementary analysis that has been produced in addition to the Retrospective Review of Surgery for Urogynaecological Prolapse and Stress Urinary Incontinence using Tape or Mesh: Hospital Episode Statistics (HES), Experimental Statistics, April 2008 - March 2017. It contains a count of Finished Consultant Episodes (FCEs) where a procedure for urogynaecological prolapse or stress urinary incontinence using tape or mesh has been recorded during the April 2021 to March 2022 period. Please Note: A summary of information relating to procedures for the treatment of Stress Urinary Incontinence is published here for transparency and scrutiny. Follow up is taking place with individual Trusts to confirm that specific treatment is as described for activity occurring since April 2021. This will lead to more accurate information on these procedures that occurred since April 2021 being being available in the future. In collating this information, it has already become clear that some Trusts mis-coded these procedures in Commissioning Data Set return used to produce these statistics. Alongside this the clinical coding guidance has been refined to enable more accurate identification of specific treatments. The data published here has been published for transparency purposes. However, for these reasons small numbers reported on treatments for this condition should be used as a starting point for further investigation rather than a definitive view.

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver.

This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set.

• HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including:
• private patients treated in NHS hospitals
• patients resident outside of England care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including:

clinical information about diagnoses and operations

patient information, such as age group, gender and ethnicity

administrative information, such as dates and methods of admission and discharge

geographical information such as where patients are treated and the area where they live

We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity

This publication contains the official statistics about uses of the Mental Health Act ('the Act') in England during 2023-24. Under the Act, people with a mental disorder may be formally detained in hospital (or 'sectioned') in the interests of their own health or safety, or for the protection of other people. They can also be treated in the community but subject to recall to hospital for assessment and/or treatment under a Community Treatment Order (CTO). In 2016-17, the way we source and produce these statistics changed. Previously these statistics were produced from the KP90 aggregate data collection. They are now primarily produced from the Mental Health Services Data Set (MHSDS). The MHSDS provides a much richer data source for these statistics, allowing for new insights into uses of the Act. People may be detained in secure psychiatric hospitals, other NHS Trusts or at Independent Service Providers (ISPs). All organisations that detain people under the Act must be registered with the Care Quality Commission (CQC). In recent years, the number of detentions under the Act have been rising. An independent review has examined how the Act is used and has made recommendations for improving the Mental Health Act legislation. In responding to the review, the government said it would introduce a new Mental Health Bill to reform practice. This publication does not cover: 1. People in hospital voluntarily for mental health treatment, as they have not been detained under the Act (see the Mental Health Bulletin). 2. Uses of section 136 where the place of safety was a police station; these are published by the Home Office.

HES is the national statistical data warehouse for England of the care provided by NHS hospitals and for NHS hospital patients treated elsewhere. HES is the data source for a wide range of healthcare analysis for the NHS, government and many other organisations and individuals. It does not include private activity.

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver.

This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set.

HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including:

• private patients treated in NHS hospitals
• patients resident outside of England
• care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including:

• clinical information about diagnoses and operations
• patient information, such as age group, gender and ethnicity
• administrative information, such as dates and methods of admission and discharge
• geographical information such as where patients are treated and the area where they live

We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained.

Timescales for dissemination can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process

Hospital Episode Statistics (HES) is a database containing details of all admissions, A and E attendances and outpatient appointments at NHS hospitals in England. Adult Critical Care (ACC) is a subset of APC data. An Intensive Care Unit (ICU) or High Dependency Unit (HDU) ward in a hospital, known as a critical care unit, provides support, monitoring and treatment for critically ill patients requiring constant support and monitoring to maintain function in at least one organ, and often in multiple organs. Medical equipment is used to take the place of patients’ organs during their recovery. Some critical care units are attached to condition-specific treatment units, such as heart, kidney, liver, breathing, circulation or nervous disorders. Others specialise in neonatal care (babies), paediatric care (children) or patients with severe injury or trauma. Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes, such as research and planning health services. Because these uses are not to do with direct patient care, they are called 'secondary uses'. This is the HES data set. HES data covers all NHS Clinical Commissioning Groups (CCGs) in England, including: private patients treated in NHS hospitals patients resident outside of England care delivered by treatment centres (including those in the independent sector) funded by the NHS Each HES record contains a wide range of information about an individual patient admitted to an NHS hospital, including: clinical information about diagnoses and operations patient information, such as age group, gender and ethnicity administrative information, such as dates and methods of admission and discharge geographical information such as where patients are treated and the area where they live We apply a strict statistical disclosure control in accordance with the NHS Digital protocol, to all published HES data. This suppresses small numbers to stop people identifying themselves and others, to ensure that patient confidentiality is maintained. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-admitted-patient-care-activity

Hospital Episodes Statistics (HES) is a data warehouse containing records of all patients admitted to NHS hospitals in England. It contains details of every hospital stay in English NHS Hospitals and English NHS commissioned activity in the independent sector. This is the annual, national data broken down to the following levels: Responsible primary care organisation (PCT or CCG) Health Authority / region of residence Main Specialty Treatment Function Healthcare Resource Group (HRG)

Quarterly activity data relating to inpatients (elective) and outpatients. All data items relate to all specialties. Figures are submitted quarterly on the Quarterly Activity Return (QAR) by NHS Trusts and Independent sector providers treating NHS patients.

Outpatient data include:

the number of GP and other referrals for first consultant outpatient appointments, the total number of attendances at consultant outpatient clinics including patients seen for their first appointments as well as those attending for subsequent or follow up appointments, the number of patients who did not attend their outpatient appointment (first or subsequent) and gave no advance warning, or arrived too late to be seen. Elective admission events are:

decisions to admit, patients admitted, patients failed to attend, removals other than admission.

Source: https://www.england.nhs.uk/statistics/statistical-work-areas/hospital-activity/quarterly-hospital-activity/qar-data/

I did few modifications to make the dataset easier to use.

Initially this data is collected during a patient's time at hospital as part of the Commissioning Data Set (CDS). This is submitted to NHS Digital for processing and is returned to healthcare providers as the Secondary Uses Service (SUS) data set and includes information relating to payment for activity undertaken. It allows hospitals to be paid for the care they deliver. This same data can also be processed and used for non-clinical purposes such as research and planning health services. Because these uses are not to do with direct patient care they are called 'secondary uses'. This is the SUS data set. SUS data covers all NHS Clinical Commissioning Groups (CCGs) in England including: 1. private patients treated in NHS hospitals 2. patients resident outside of England 3. care delivered by treatment centres (including those in the independent sector) funded by the NHS

Each SUS record contains a wide range of information about an individual patient admitted to an NHS hospital including: 1. clinical information about diagnoses and operations 2. patient information such as age group gender and ethnicity 3. administrative information such as dates and methods of admission and discharge 4. geographical information such as where patients are treated and the area where they live

NHS Digital apply a strict statistical disclosure control in accordance with the NHS Digital protocol to all published SUS data. This suppresses small numbers to stop people identifying themselves and others to ensure that patient confidentiality is maintained.

Who SUS is for SUS provides data for the purpose of healthcare analysis to the NHS government and others including:

The Secondary Users Service (SUS) database is made up of many data items relating to A&E care delivered by NHS hospitals in England. Many of these items form part of the national Commissioning Data Set (CDS) and are generated by the patient administration systems within each hospital. 1. national bodies and regulators such as the Department of Health NHS England Public Health England NHS Improvement and the CQC 2. local Clinical Commissioning Groups (CCGs) 3. provider organisations 4. government departments 5. researchers and commercial healthcare bodies 6. National Institute for Clinical Excellence (NICE) 7. patients service users and carers 8. the media

Uses of the statistics The statistics are known to be used for: 1. national policy making 2. benchmarking performance against other hospital providers or CCGs 3. academic research 4. analysing service usage and planning change 5. providing advice to ministers and answering a wide range of parliamentary questions 6. national and local press articles 7. international comparison

This publication reports on Admitted Patient Care activity in England for the financial year 2023-24. This report includes but is not limited to analysis of hospital episodes by patient demographics, diagnoses, external causes/injuries, operations, bed days, admission method, time waited, specialty, provider level analysis and Adult Critical Care (ACC). It describes NHS Admitted Patient Care Activity, Adult Critical Care activity and performance in hospitals in England. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data source for this publication is Hospital Episode Statistics (HES). It contains final data and replaces the provisional data that are released each month. HES contains records of all admissions, appointments and attendances at NHS-commissioned hospital services in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore, this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Karl Eichler

Finished consultant episodes for dental caries among children aged 0 to 5, rate per 100,000.Following Census 2021, the Office for National Statistics (ONS) carried out reconciliation and rebasing of the mid year population estimates (MYE) it produces. This process happens every 10 years following the census. The official population estimates for mid 2012 to mid 2020 have been revised, to incorporate the data now available from Census 2021. The data for this indicator has been revised to use the rebased population estimates from 2012 onwards.RationaleDental caries (tooth decay) and periodontal (gum) disease are the most common dental pathologies in the UK. Tooth decay has become less common over the past two decades, but is still a significant health and social problem. It results in destruction of the crowns of teeth and frequently leads to pain and infection. Dental disease is more common in deprived areas, compared to affluent, communities. The indicator is a good direct measure of dental health and an indirect, proxy measure of child health and diet.Definition of numeratorFinished consultant episodes for all persons aged 0 to5 years with primary operation F09 or F10 and primary diagnosis codesK021, K025, K028, K029, K040, K045, K046 or K047.Definition of denominatorLocal authority figures: Mid-year population estimates: Single year of age and sex for local authorities in England and Wales; estimated resident population (ages 0-5 years). Commencing April 2014, geographical references are taken from 2011 census information.

Caveats No assumptions can be made about the method of anaesthesia provided for these procedures, but it is likely that the majority of episodes involved general anaesthetic. It is possible that different coding protocols are applied in some sites, which could explain some of the variation. In some instances, the data are an underestimate of the number of episodes, as the Community Dental Service may provide the extraction service in hospital premises, but the episodes may not be included in hospital data recording.

Important: NHS Digital identified a data quality issue affecting HES data for East Sussex Healthcare NHS Trust (RXC) in 2018/19. Approximately 85,000 records erroneously had all diagnosis and procedure codes removed. Therefore, PHE did not publish values for indicators based on HES data for areas that had more than 10% of patients from that area with missing codes from RXC in 2018/19. Areas with 1–10% of patients with missing codes from RXC have been flagged to be treated with caution. For more details, see HES Data Quality Notes.

Important: NHS England identified a data quality issue affecting Frimley Health Foundation Trust in 2022–2023. The Trust did not submit HES data for June 2022 to March 2023. Therefore, values have not been published based on HES data for areas that had over 10% of hospital patients from an area treated at Frimley Health Foundation Trust in 2021–2022. Areas with 1–10% of patients treated at the Trust in 2021–2022 have been flagged to be treated with caution.

In 2023, NHS England announced a requirement for Trusts to report Same Day Emergency Care (SDEC) to the Emergency Care Data Set (ECDS) by July 2024. Early adopter sites began reporting SDEC to ECDS from 2021/22, with other Trusts changing their reporting in 2022/23 or 2023/24. Some Trusts had previously reported this activity as part of the Admitted Patient Care data set. Moving to ECDS may reduce the number of admissions reported for this indicator. NHSE has advised that it is not currently possible to accurately identify SDEC in existing data flows. The impact of the change is expected to vary by diagnosis, with indicators related to injuries and external causes potentially most affected.

When considering whether SDEC recording practice has reduced the number of admissions reported for this indicator at the local level, please refer to the list of sites reporting SDEC to ECDS.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after admission: indirectly standardised by age, sex, method of admission and diagnosis/procedure. The indicator is broken down into the following demographic groups for reporting: ● All years and female only, male only and both male and female (persons). ● <16 years and female only, male only and both male and female (persons). ● 16+ years and female only, male only and both male and female (persons) ● 16-74 years and female only, male only and both male and female (persons) ● 75+ years and female only, male only and both male and female (persons) Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). ● Treatment Functions. All annual trends are indirectly standardised against 2014/15.

The Mental Health Services Data Set is a patient level, output based, secondary uses data set which aims to deliver robust, comprehensive, nationally consistent and comparable person-based information for children, young people and adults who are in contact with mental health services located in England or located outside England but treating patients commissioned by an English CCG or NHS England specialised commissioner. As a secondary uses data set it re-uses clinical and operational data for purposes other than direct patient care, for example: commissioning, service improvement and service design. It defines the data items, definitions and associated value sets extracted or derived from local Electronic Patient Record systems.

In Scope: All activity relating to people who receive specialist secondary mental health care services and have, or are thought to have, a mental illness; or who receive specialist secondary learning disabilities or autism spectrum disorder services and have, or are thought to have, a learning disability or autism spectrum disorder is within scope of the MHSDS. The scope of the data set requires record level data submission for each person attending a service located in England: • if the person is wholly funded by the NHS data submission for that person is mandatory • if the person is partially funded by the NHS data submission for that person is mandatory • if the person is wholly funded by any means that is not NHS data submission is optional

For each person attending a service located outside England, but commissioned by an English CCG or NHS England specialised commissioner: • data submission is optional.

Included Organisation Types: Service providers and organisations that provide specialist secondary mental health and/or learning disabilities and/or autism spectrum disorder services including: • NHS Mental Health Trusts • NHS Learning Disabilities Trusts • NHS Acute Trusts • NHS Care Trusts • Independent sector healthcare providers offering a service model that includes NHS funded patients • Any qualified provider offering specialist secondary mental health, learning disabilities or autism spectrum disorder services • Community services offering secondary care to children

Out of Scope: The following areas are currently out of scope and should not be included: • Any patient receiving treatment through an in-scope service but is not thought to have a mental illness, learning disability or autism spectrum disorder e.g. o Smoking cessation services o Addictions and substance misuse services o Some alternative therapy services o Some counselling services. • Mental health, learning disabilities, and autism spectrum disorder services provided only at a primary care level (such as within general practices or adult IAPT).

Additional information inc. technical specifications and user guidance: https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/mental-health-services-data-set

Data forming the COVID-19 SARI-Watch data set relate to demographic, risk factor, treatment, and outcome information for patients admitted to hospital with a confirmed COVID-19 diagnosis, as recorded in the PHE COVID-19 SARI-Watch Surveillance System.

SARI-Watch data are to be collected for the purposes of direct care, service monitoring, planning and research in response to the spread of COVID-19, including for the following purposes identified in the COVID-19 Directions (see below): •understanding information about patient access to health services and adult social care services as a direct or indirect result of COVID-19 and the availability and capacity of those services •monitoring and managing the response to COVID-19 by health and social care bodies and the Government, including providing information to the public about COVID-19 and its effectiveness, and information about capacity, medicines, equipment, supplies, services and the workforce within the health services and adult social care services •research and planning in relation to COVID-19, such as providing COVID-19 diagnosis.

Timescales for dissemination can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process Standard wording

NHS Digital will only disseminate SARI-Watch data collected from PHE where the information is linked to other information controlled by NHS Digital.

Out of Area Mental Health Placements

Data from NHS & Independent Providers in England

By data.world's Admin [source]

About this dataset

This dataset provides a comprehensive look into the Out of Area Placements (OAPs) happening in the mental health services in England. It gives insight on placements from both NHS and independent providers, giving an overall picture of how these placements are happening across the country.

By taking a closer look at this report we can gain understanding into what is going on with OAPs around us – like which questions are being asked, breakdowns of how it’s divided and number to back it up. With this data we can better understand issues that affect our community and do our part to help support those in need

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How to use the dataset

This dataset provides information on out of area placements in mental health services in England from both NHS and independent providers. The dataset contains data related to the number placements, as well as breakdowns by region and provider. With this data you can explore the trends for out of area placements in your region and compare those trends with national level figures.

This guide will show you how to get started exploring this dataset.

Step 1: Understand The Data Set Structure

The first step for getting started is to get a good understanding of the structure of the dataset itself in order to better understand what types of questions we can ask our data with. This dataset has several columns which have been listed below:

• Publication Type : This column provides information on what type of report is being referenced such as statistical bulletin or key facts & figures etc

• Publication Period: This column represents a period within a year moment which periods are expressed by either month, quarter or financial year etc..

• Publication Date: This column informs us when the publication was made available online expressed as a date format e.g 2018-04-02)

• Question : Here we will find measurements such as people waiting an average or median length times such that they answer certain question asked by officials.

• Breakdown1, BreakDown1Code, ‘Breakdown1Description’ : These columns provide extra context into specific highlights from results in further detail eg Breakdowns include areas like Age Group ,Nationality (for immigration statistics) gender for population statistics etc... where code values may appear something like “OAP_AGE_All” and descriptions appear like “Waiting Times All Ages respectively .

• BreakDown2, BreakDown2Code, 'Breakdown2Description':These are data attributes similar top BreakDown 1 but at even more granular level eg Doctor Specialty/Department, Treatment Type, Indicators (for regional/local analysis), Countries ..etc . It's important not note here that breakdown 2 has deeper break down against Breakdown 1 depending further detail asked while investigating deeper under specified parameters /results .Eg You might want drill down ages into age groups 0–4, 5–14 ,15-29....etc excluding 65+ corresponding breakdown codes might be OAP_AGE_0

Research Ideas

• Creating insight into regional differences in mental health out of area placements in order to identify if more funding is needed and implement programs to address the predisposing risk factors for those regions with higher out of area placement rates.
• Comparing the amount of expenditure allocated on out of area placements between different areas and provinces, so that extra funding may be given to areas which need it more.
• Examining the correlation between changes in funding or policy and its effects on out of area placements at both a national and local level, in order to assess whether certain policies are successful or not at curbing them such as introducing preventative measures before placement outside an individual's region is necessary

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a...

Improving outcomes for people with multiple long term conditions is a priority as set out in the NHS long term plan. ADMISSION is a Research Collaborative funded by UK Research and Innovation and the National Institute for Health Research and Care Research that brings together scientists, clinicians and patients from five UK universities and hospitals (Newcastle University and Newcastle Hospitals NHS Foundation Trust, University of Birmingham (PIONEER – the Health Data Research UK Acute Care Hub),  Manchester Metropolitan University, University of Dundeeand University College London) to transform understanding of multiple long-term conditions in hospital patients.

As part of this, PIONEER has curated a highly granular dataset of 119,815 unique hospitalised patients focusing on the impact of multiple long term conditions. The data includes admission details, demography, initial presentation, presenting symptoms, diagnoses, treatments, therapy, medications, imaging, wards, investigations, procedures, operations and outcomes. The current dataset includes admissions from 01-01-2000 to 07-02-2024 but can be expanded to assess other timelines of interest.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

This table provides the current data on referral to treatment waiting times for patient pathways waiting (open pathway) to start treatment by grouped weeks. Hywel Dda health board has no patients waiting for audiological medicine from January 2019 onwards, this is due to the service moving into the community based model. In March 2016, we changed some of the terminology used in referral to treatment reporting. Previously, when publishing these statistics, we used the terminology ‘patients’. However, some users misinterpreted this as unique patients. It is possible that a person could be on a number of different lists waiting for different conditions – i.e. there would be one patient but more than one pathway. Due to the RTT dataset being an aggregate data collection we’re not able to measure the number of unique patients. Therefore, we are using the terminology ‘patient pathways’, to better reflect the fact that one person can be on multiple waiting lists. The methodology use to measure and calculate these statistics has not changed. This is also more consistent with the other nations of the UK in their reporting of RTT.

Experiences of local GP services, NHS treatment waiting lists, community health services, dentistry and pharmacy services, analysing data from the Health Insight Survey commissioned by NHS England. These are official statistics in development.

The DID is a monthly collection of information about diagnostic imaging tests carried out on NHS patients in England which enables analysis of demographic and geographic variation in access to different test types and providers. The dataset, collected at patient level, includes patient identifiers to enable linkage to other datasets, most notably cancer registration data. Information from the DID may inform the accreditation processes for imaging departments through the UK Imaging Services Accreditation Scheme and the assessment of imaging services by the Care Quality Commission. The dataset provides information on the utilisation of high value imaging equipment such as MRI scanners. Information about diagnostic testing is being linked to cancer patient’s records held in Cancer Registries, expanding the understanding we have of their treatment pathway. Further information can be found on the NHS Digital DID website. Release Date - Aggregated data at Trust level is published the last Thursday of the month by NHS England on the DID webpage iView - DID data is available to the DID user community and the DHSC via Community View in iView. This data resource has been designed for professionals working with health and social care data on a regular basis. Access to iView can be requested by contacting NHS Digital on 0300 303 5678 or enquiries@nhsdigital.nhs.uk