This is a report on adult critical care activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2016. 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 admitted to NHS hospitals in England. The HES data used in this publication draws on records submitted by providers as an attachment to the admitted patient care record. This publication shows 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.

Description

The purpose of this initiative is to build an integrated dataset on Intensive Care Units (ICUs) and their availability by country and region (at the highest regional granularity provided by the sources), using a data model standardized across countries.

Currently, ICU data is stored in different country-specific sources, with a wide range of access points (national websites, APIs, excel or csv files, etc.)

Given current COVID-19 crisis, we believe that this information should be provided with the following: * common standardized structure * single point of access * open to the public

We hope that these datasets will further benefit researchers and help us in the fight against COVID-19.

Countries and sources:

• Italy (as of 2019 - source: Ministero della Salute)
• United Kingdom
  • England (as of 2020 - source: NHS England)
  • Wales (as of 2019 - source: StatsWales)
  • Scotland (as of 1998, projected on 2020 whole figure - sources: Scottish Health Directorate & Herald Scotland)
  • Northern Ireland (as of 2020, w/o sub-area granularity - source: Derry Journal)
• US (as of 2018 - source: Harvard Global Health Institute)
• Spain (as of 2013 - source: Medicina Intensiva)
• Germany (updated daily, not complete - source DIVI Intensiv Register)

Monthly data on critical care bed use and cancelled urgent operations

Source agency: NHS England

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Critical care bed capacity and cancelled operations: monthly situation reports

This publication reports on Admitted Patient Care activity in England for the financial year 2024-25 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

This is the third publication of adult critical care data, which forms part of Hospital Episode Statistics (HES) and is collected as part of the Critical Care Minimum Data Set (CCMDS). It covers critical care periods ending between 1 April 2010 and 31 March 2011, and draws on records submitted by providers as an attachment to the inpatient record. During the period covered by this report, not all NHS trusts with critical care capacity have completed data submissions, so data quality and coverage is variable in some cases. Publishing the HES critical care data as experimental statistics allows for discussion, analysis and promotion of the dataset, which in turn should lead to improved coverage and data quality.

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

Record-level patient data set of patients admitted for treatment and receiving Critical Care (intensive care or high dependency care) at NHS hospitals in England. A record represents one episode of Critical Care.

Provides a standardised set of data to support Payment by Results, Healthcare Resource Groups and Resource Management and Commissioning and national policy analysis.

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 2020. 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 2019 to March 2020 period.

This is the fifth publication of adult critical care data, which forms part of Hospital Episode Statistics (HES) and is collected as part of the Critical Care Minimum Data Set (CCMDS). It covers critical care periods ending between 1 April 2012 and 31 March 2013, and draws on records submitted by providers as an attachment to the inpatient record.

The number of hospital beds in the United Kingdom has undergone a decline since the year 2000. Whereas in 2000, there were around 240 thousand beds in the UK, by 2023 this figure was approximately 166 thousand. This means over this period, there were around 74 thousand fewer hospital beds in the UK. However, since 2020, the number of hospital beds has been increasing, the first time in the recorded time period. Fewer beds but admissions are still high There were almost 18.5 million admissions to hospital between April 2024 to March 2025 in England. The number of admissions has recovered since the drop in year 2020/21. The busiest hospital trust in England by admissions in the year 2024/25 was the University Hospitals Birmingham Foundation Trust with over 391.5 thousand admissions. The average length of stay in hospitals in the UK in 2022 for acute care was nearly eight days. Accident and Emergency In the second quarter of 2024/5, A&E in England received around 6.7 million attendees. The number of attendances has been creeping upwards since 2012. Around 4 percent of people attending A&E in the last year were diagnosed with either an upper or lower respiratory tract infection, the most common diagnosis.

Record-level patient data set of patients admitted for treatment and receiving Critical Care (intensive care or high dependency care) at NHS hospitals in England. A record represents one episode of Critical Care.

These data are from a study of deteriorating patients in NHS hospitals that examined delay to admission to critical care timed from the bedside assessment by the critical care outreach team. The primary endpoint was 90-day mortality. This was a prospective cohort study of consecutive patients in 49 NHS hospitals (1 November 2010 — 31 December 2011). More detail can be found in the published reports.[^1]The data were collected as part of a PhD project funded by the Wellcome Trust.[^1]: Harris S, Singer M, Sanderson C, Grieve R, Harrison D, Rowan K. Impact on mortality of prompt admission to critical care for deteriorating ward patients: an instrumental variable analysis using critical care bed strain. Intensive Care Med. 5/2018;44: 606–615.

The former Public Health England (PHE) established COVID-19 Hospitalisation in England Surveillance System (CHESS) across all NHS Trusts in England on 15/03/2020 to collect epidemiological data on COVID-19 infection in persons requiring hospitalisation and ICU/HDU admission. Trends in hospital and critical care admission rates need to be interpreted in the context of testing recommendations, which changed over time.

Following public consultation these publications will be released as a single publication on a yearly basis from September 2011: Annual summary of outpatient activity Annual summary of inpatient and day case activity, procedures and diagnoses Annual summary of bed statistics Annual summary of childhood hospital admissions Emergency and Multiple Admissions Length of stay information Same day surgery information Allied Health Professional and Nurse Led clinics data Source agency: ISD Scotland (part of NHS National Services Scotland) Designation: National Statistics Language: English Alternative title: Annual Acute Hospital Activity and NHS Beds information

As our population ages, it is increasingly common for people presenting to hospital with critical illness to be older. Tools to identify people who may respond well to critical care interventions have not been optimised for older people and although age is a factor associated with poorer outcomes following admission to critical care; frailty and multimorbidity are also likely to be important.

This is a highly granular dataset of 8,656 critical care admissions for patients aged 65 and over, curated by the NIHR Birmingham Biomedical Research Centre Infection and Acute Care Theme in collaboration with PIONEER. It includes initial presentation, symptoms, and pre-calculated severity scores (SAPS, APACHE, SOFA). Data covers demographics, serial physiology, ventilatory parameters, investigations, treatments (drug, dose, route), diagnostic codes (ICD-10 & SNOMED-CT), and outcomes, with follow-up for one year. It can be supplemented with imaging (results and images) and linked to ambulance conveyance and community outcomes. Admissions span from 01-01-2017 to 01-03-2023. A full dataset for all ages is also available.

Geography: The West Midlands 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 (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 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.

Fast track daily information on emergency pressures in the winter period (eg A&E diverts, beds closed due to norovirus, critical care capacity). Collected from acute NHS Trusts and NHS Foundation Trusts. This report is published weekly during the winter period.

Source agency: NHS England

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Daily Situation Reports

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.

Legacy unique identifier: P01757