The National Health Service is the largest employer in the UK but is not a single homogenous organisation. Following devolution and major re-organisations in the past few years, the ways in which it is organised in England, Scotland, Wales and Northern Ireland are continuing to diverge.

Our database covers senior and mid-level posts across all functions and areas of the NHS. This includes both the Management and Medical/Clinical sides.

England - the NHS has undergone considerable re-organisation since 2011 with Strategic Health Authorities and Primary Care Trusts being replaced by a new structure of healthcare provision. The vast majority of services are now provided or commissioned at a local level via groups of GP Surgeries, known as Clinical Commissioning Groups (CCG's), or at a secondary care level via Hospital Trusts. Public Health services are now provided by Local Authorities who also work with CCG's via Health and Wellbeing Boards to commission services jointly. There are also a number of new 'Community Healthcare' providers, in the form of Health and Care Trusts (NHS organisations) and Community Interest Companies (Social Enterprises). These organisations provide a range of community, mental health, primary care and nursing functions and sit alongside Local Authorities, CCG's and Secondary Care providers in many areas. These, along with some Secondary Care Acute Trusts which inherited them following the dissolution of PCT's run Community Hospitals, Clinics, Walk in Centres and some Dental services.

Scotland - has a simplified structure with Scottish Health Boards having control of all operational responsibilities within their geographical area. The Community Health Partnerships provide a range of community health services and they work closely with primary health care professionals as well as hospitals and local councils.

Wales - has established Local Health Boards and with the exception of one remaining NHS Trust, they deal with all Primary and Secondary Healthcare services.

Northern Ireland - also has single organisations - Health & Social Care Trusts, which along with several other national bodies, deal with co-ordinating and providing all the regions Healthcare services.

Introduction: Although hospitals are key health service providers, their financial ties to drug companies have been rarely scrutinised. In developing this body of work, we examine industry payments for non-research activities to National Health Service (NHS) trusts – hospital groupings providing publicly funded secondary and tertiary care in England. Methods: We extracted data from the industry-run Disclosure UK database, analysing payment distribution descriptively and identifying trends in medians with the Jonckheere-Terpstra test. The payment value and number per NHS trust were explained using random effects models. Results: Between 2015 and 2018, 116 companies reported paying £60,253,421.86 to 235 trusts. As a share of payments to all healthcare organisations the number of payments to trusts rose from 38.64% to 39.48%, but their value dropped from 33.01% to 23.61%. While the number of all payment types rose, fees for service and consultancy and contributions to costs of events increased by 61.55% and 29.43%, respectively. The median payment values decreased significantly for trusts overall, including those with lower autonomy from central government; providing acute services; and from four of the eight regions of England. The random effects model showed that trusts with all other service profiles received a significantly lower value of payments on average than acute trusts; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more payments than others. Trusts also received significantly lower (but not fewer) payments in 2018 than in 2015. Conclusion: NHS trusts were losing importance as funding targets relative to other healthcare organisations. Industry payment strategies shifted towards engaging with NHS trusts using events sponsorship, consultancies, and smaller payments. Industry prioritised payments to trusts with specific service and geographical profiles. More granular disclosure is necessary to understand the role of corporate funding across the health system.

Our NHS doctors database holds current medical and clinical specialists, and has valid doctors email addresses, for responsive clinical marketing and medical research.

With NHS management database selections covering CEO's, Directors and Management level decision makers, responsive contact data can be purchased by job role, seniority level, size and region.

Published: 28 November 2017 - This is a report on outpatient activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2017. It contains final data and replaces the provisional data that are published 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 admitted to NHS hospitals in England. This publication includes analysis of more than 100 million outpatient appointments recorded in HES data during the 12 month period. A number of breakdowns are provided including by patient's age, gender, whether the appointment was attended or not and by provider. Note that this report counts the number of outpatient appointments rather than the number of patients. 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.

Data for this publication are extracted each month as a snapshot in time from the Primary Care Registration database within the NHAIS (National Health Application and Infrastructure Services) system. This release is an accurate snapshot as at 1 April 2024. This publication also includes monthly data outputs from the Personal Demographic Service, which will become the data source for this publication from May 2024. More information about the data source change can be found in the Data Quality Statement. GP Practice; Primary Care Network (PCN); Sub Integrated Care Board Locations (SICBL); Integrated Care Board (ICB) and NHS England Commissioning Region level data are released in single year of age (SYOA) and 5-year age bands, both of which finish at 95+, split by gender. In addition, organisational mapping data is available to derive PCN; SICBL; ICB and Commissioning Region associated with a GP practice and is updated each month to give relevant organisational mapping. Quarterly publications in January, April, July and October will include Lower Layer Super Output Area (LSOA) populations.

DECOVID, a multi-centre research consortium, was founded in March 2020 by two United Kingdom (UK) National Health Service (NHS) Foundation Trusts (comprising three acute care hospitals) and three research institutes/universities: University Hospitals Birmingham (UHB), University College London Hospitals (UCLH), University of Birmingham, University College London and The Alan Turing Institute. The original aim of DECOVID was to share harmonised electronic health record (EHR) data from UCLH and UHB to enable researchers affiliated with the DECOVID consortium to answer clinical questions to support the COVID-19 response.   ​​   ​​The DECOVID database has now been placed within the infrastructure of PIONEER, a Health Data Research (HDR) UK funded data hub that contains data from acute care providers, to make the DECOVID database accessible to external researchers not affiliated with the DECOVID consortium.  

This highly granular dataset contains 256,804 spells and 165,414 hospitalised patients. The data includes demographics, serial physiological measurements, laboratory test results, medications, procedures, drugs, mortality and readmission.

Geography: 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. UCLH provides first-class acute and specialist services in six hospitals in central London, seeing more than 1 million outpatient and 100,000 admissions per year. Both UHB and UCLH have fully electronic health records. Data has been harmonised using the OMOP data model. 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 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.

Chi squared test, not including missing data for each variable other than NHS number*At least one social risk factor including drug use, homelessness, alcohol misuse/ abuse, prisonDescriptive analysis of case notifications dataset for records with and without an NHS number.

The National Highway System (NHS) dataset and its geometries was updated on August 08, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Highway System consists of roadways important to the nation's economy, defense, and mobility. The National Highway System (NHS) includes the following subsystems of roadways: Interstate - The Eisenhower Interstate System of highways, Other Principal Arterials - highways in rural and urban areas which provide access between an arterial and a major port, airport, public transportation facility, or other intermodal transportation facility, Strategic Highway Network (STRAHNET) - a network of highways which are important to the United States' strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes, Major Strategic Highway Network Connectors - highways which provide access between major military installations and highways which are part of the Strategic Highway Network, Intermodal Connectors - highways providing access between major intermodal facilities and the other four subsystems making up the National Highway System. A specific highway route may be on more than one subsystem. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529838

This report shows monthly numbers of NHS Hospital and Community Health Services (HCHS) staff working in NHS Trusts and CCGs in England (excluding primary care staff). Data are available as headcount and full-time equivalents and for all months from 30 September 2009 onwards. These data are an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December/January (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings, monthly NHS Staff Sickness Absence reports, and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. An issue with the linkage of unique identifiers for several thousand staff records within the ESR database was identified for the April 2022 data. This does not appear to have had a noticeable effect on the overall workforce numbers presented in this publication, and underlying records in ESR were corrected for the May 2022 provisional data. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

Attendance information for all hospital outpatient appointments. The data are collected and coded at each hospital. Administrative information is collected from the central PAS (Patient Administrative System), such as specialty of care, appointment date and attendance status.

This dataset contains all scheduled outpatient appointments, including those where the patient failed to attend.

These statistics are derived from the National Community Child Health Database (NCCHD). This data source is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The NCCHD was established in 2004 and consists of anonymised records for all children born, resident or treated in Wales and born after 1987. The database brings together data from local Community Child Health System databases which are held by local health boards (LHBs), and its main function is to provide an online record of a child’s health and care from birth to leaving school age. The statistics used in this release are based on the data recorded at birth and shortly after birth. Full details of every data item available on both the Maternity Indicators dataset and National Community Child Health Database are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm. Gestational age is based on the best estimate available for when pregnancy started, based on either date of last menstrual period or from an ultrasound scan.

E.g. house number and street name*E.g. city.Description of missing data on variables used for the linkage from the laboratory, case notifications and an example pre-entry screening dataset, by NHS number availability and validity.

This data package contains the hospital bed availability and occupancy data by consultant main specialty and sector as well as data on inpatient and outpatient related hospital activity in England. It also contains information on Sub-Saharan public hospitals.

The iCARE SDE is a cloud-based, big data analytics platform sitting within Imperial College Healthcare NHS Trust (ICHT) NHS infrastructure. This, combined with the iCARE Team’s robust method of data de-identification, make the Environment an incredibly secure platform. The fact that it can be accessed remotely using the Trust’s Virtual Desktop Infrastructure means that researchers can perform their work remotely and are therefore not constrained by location. (imperial.dcs@nhs.net)

The iCARE SDE enables clinicians, researchers and data scientists to access large-scale, highly curated databases for the purposes of research, clinical audit and service evaluation. The iCARE SDE enables advanced data analytics through a scalable virtual infrastructure supporting Azure Machine Learning, Python, R and STATA and a large variety of snowflake SQL tooling.

The main iCARE data model is a HRA REC approved database covering all routinely captured information from Imperial College Healthcare Trust (ICHT) Electronic Health Record and 39 linked (at the patient-level) clinical and non-clinical systems. It contains data for all patients from 2015 onwards and is updated weekly as a minimum, and close to real-time when required. It includes inpatient, outpatient, A&E, pathology, cancer, imaging treatments, e-prescribing, procedures, clinical notes, Consent, clinical trials, tissue bank samples, Patient safety and incidents, Patient experience, Staffing and environment data.

Data can also be linked to primary care data for the 2.8million population in Northwest London, HRA REC approved, Whole Systems Integrated Care (WSIC) hosted database and other health and social care providers when approved.

On a project-by-project basis the model can be expanded to curate and include new data (including multi-modality data), that is either captured routinely or through approved research and clinical trials. There are streamlined processes to approve and curate new data (imperial.dataaccessrequest@nhs.net) and data will always remain hosted in the SDE.

Our NHS medical database contains named medical and clinical specialists, and holds verified doctors email addresses, for targeted medical research and clinical marketing.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The Child Health System in Wales; includes birth registration and monitoring of child health examinations and immunisations.

The dataset brings together data from local Child Health System databases which are held by NHS Trusts and used by them to administer child immunisation and health surveillance programmes.

The dataset contains all children born, resident or treated in Wales and born after 1987.

This report contains generic information about pacing and ICD practice in the United Kingdom and Republic of Ireland up to and including 2000.

The Leeds Teaching Hospitals NHS Trust (LTHT) OMOP database is a robust, longitudinal dataset constructed using data from the electronic health records (EHR) of patients treated and diagnosed at Leeds Teaching Hospitals NHS Trust since 2003. This comprehensive resource is mapped to the OMOP CDM, ensuring interoperability with other OMOP databases, and enabling privacy-preserving, large-scale, multi-centre studies.

Encompassing a wide array of clinical data, the database includes information on demographics, diagnoses, procedures, medications and laboratory results. A particular strength lies in its detailed cancer-specific data, which supports in-depth analyses of treatment outcomes, survival rates, and disease progression. This makes it an invaluable resource for researchers focusing on oncology, as well as those interested in broader secondary care settings.

Researchers can draw insights from the LTHT OMOP database through federated analytics approaches as well as through the use of standardised OHDSI tools, which enable secure, privacy-preserving analyses across multiple institutions, eliminating the need to access individual-level patient data.

Notably, the LTHT OMOP database has been instrumental in several high-profile studies:

• HERON Network: LTHT is a member of the HERON network, funded by HDR UK, which focuses on enhancing the quality and impact of cancer research through federated analytics. LTHT participated in a study examining the use of antibiotics which are in the WHO watchlist for high risk of antimicrobial resistance. • DigiONE Pilot Studies: These studies analyse harmonised routine care data from OMOP databases in 6 digitally mature European hospitals. Three studies have been conducted to date, focusing on the impact of the COVID-19 pandemic on cancer care, on metastatic non-small cell lung cancer, and on HER2-/HR+ metastatic breast cancer. • FALCON-Lung Study: This study focused on the uptake of immune checkpoint inhibitors for metastatic non-small cell lung cancer across the world, and implemented a clinically validated line of therapy algorithm using systemic anti-cancer therapy data in the OMOP databases of 17 international institutions.

In summary, the LTHT OMOP database stands as a robust resource for secondary care research, particularly in oncology. Its comprehensive, high-quality data, combined with a commitment to national and international collaboration, positions it as a cornerstone for advancing healthcare research and improving patient outcomes.

The LTHT OMOP database consists of the following tables and data:

• Visit occurrence: includes inpatient and outpatient admissions for all patients that are or have been part of the cancer pathway, as well as all in-patient admissions for all other patients. The visit_detail table has not been populated. • Condition occurrence: populated with all diagnoses in the Trust since 2003. • Drug exposure: populated. Includes all anti-cancer drugs (chemotherapy and immunotherapy), and selected antibiotics medication (all antibiotics that are in the WHO watchlist for antimicrobial resistance, as well as access antibiotics). Plans to extend this to all medication prescribed. • Procedure occurrence: populated. Includes surgical and radiotherapy procedures delivered to patients with cancer, as well as all surgical procedures delivered to all other patients. • Measurement: populated with weight, height, TNM staging, performance status, and metastasis location data. • Observation: populated with ethnicity, IMD quintile, clinical trial participation (cancer only) and cancer histology data. • Device exposure: not populated. • Death: populated from ONS.

Data identifying the location of NHS Regions. For more information, please see the ONS Geoportal website. Boundaries for these geographies have been generalised (to 20 metres) and clipped. You can find further information on these formats in the downloadable Boundary Guidance document on the Open Geography portal. When using boundary data, please acknowledge the copyright and the source of the data by including the following attribution statements: Contains National Statistics data © Crown copyright and database right (2016) Contains OS data © Crown copyright and database right (2016) For more details about licencing go to: https://www.ons.gov.uk/methodology/geography/licences All data is correct as of download date: 21/11/2016