Average daily number of available and occupied beds by sector, NHS organisations in England Source: Department of Health (DoH) Publisher: Department of Health Geographies: Primary Care Trust (PCT), Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2000-2001 to 2007-2008 Type of data: Administrative data

United Kingdom UK: Hospital Beds: per 1000 People data was reported at 2.900 Number in 2011. This records a decrease from the previous number of 2.980 Number for 2010. United Kingdom UK: Hospital Beds: per 1000 People data is updated yearly, averaging 4.600 Number from Dec 1960 (Median) to 2011, with 23 observations. The data reached an all-time high of 10.700 Number in 1960 and a record low of 2.900 Number in 2011. United Kingdom UK: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

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.

Forecast: Number of Hospital Beds in Publicly Owned Hospitals in the UK 2024 - 2028 Discover more data with ReportLinker!

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.

HOSPREC is a dataset produced by the Wellcome Library and The National Archives. It was developed to help locate hospital records across the UK. Information is provided on over 2,800 hospitals. The data includes: the administrative details of the hospitals, and their status or type; the location and covering dates of administrative and clinical records; the existence of lists, catalogues or other finding aids.

Forecast: Number of Hospital Beds in the UK 2024 - 2028 Discover more data with ReportLinker!

Forecast: Number of Hospital Beds in the UK 2022 - 2026 Discover more data with ReportLinker!

Context

There no one stop dataset, which includes the locations of hospitals in England. As this is public knowledge the data has been aggregated. This dataset can be used to geospacially represent for example Emergency Department visits by location or other hospital linked datasets. For anyone interested the NHS has many datasets freely available. For example from here. These could be combined with this dataset.

Content

This is a simple dateset with the names of of English hospitals and their locations. For some few hospitals the coordinates are not available these are:

Gosport, Lincoln County Hospital, London Borough of Sutton, Methley, Northumbria Healthcare NHS Foundation Trust, Queen Elizabeth The Queen Mother Hospital, Royal Berkshire Hospital, Southmead Hospital, Stoke Mandeville Hospital, Westcliffe-on-Sea, York Hospital

Acknowledgements

The data has been collected from Wikipedia so the credit goes to the public domain and their efforts to maintain this dataset.

Inspiration

This dataset is aimed to provide coordinate for hospital data such as attendance etc. But could also be used for example to show distance to hospitals for the population of England.

The acute-care pathway (from the emergency department (ED) through acute medical units or ambulatory care and on to wards) is the most visible aspect of the hospital health-care system to most patients. Acute hospital admissions are increasing yearly and overcrowded emergency departments and high bed occupancy rates are associated with a range of adverse patient outcomes. Predicted growth in demand for acute care driven by an ageing population and increasing multimorbidity is likely to exacerbate these problems in the absence of innovation to improve the processes of care.

Key targets for Emergency Medicine services are changing, moving away from previous 4-hour targets. This will likely impact the assessment of patients admitted to hospital through Emergency Departments.

This data set provides highly granular patient level information, showing the day-to-day variation in case mix and acuity. The data includes detailed demography, co-morbidity, symptoms, longitudinal acuity scores, physiology and laboratory results, all investigations, prescriptions, diagnoses and outcomes. It could be used to develop new pathways or understand the prevalence or severity of specific disease presentations.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Health Record: University Hospital Birmingham 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 & an expanded 250 ITU bed capacity during COVID. 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”.

Scope: All patients with a medical emergency admitted to hospital, flowing through the acute medical unit. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards and readmissions), physiology readings (NEWS2 score and clinical frailty scale), Charlson comorbidity index and time dimensions.

Available supplementary data: Matched controls; ambulance data, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

This data is taken from LG Inform (http://lginform.local.gov.uk Data Ref ID 27). It shows the delayed transfers of care, average weekly rate in Plymouth Delayed transfers of care, average weekly rate - Final available dataset: fin_2008_09 This indicator measures the impact of hospital services (acute and non-acute) and community-based care in facilitating timely and appropriate discharge from all hospitals for all adults. This measures the ability of the whole system to ensure appropriate discharge from hospital for the entire adult population, and is an indicator of the effectiveness of the interface between health and social care services. This indicator shows the average weekly rate of delayed transfers of care from all NHS hospitals, acute and non-acute, per 100,000 population aged 18+. A delayed transfer of care occurs when a patient is ready for transfer from a hospital bed, but is still occupying such a bed. This was previously reported as NI 131. Source name: Department of Health Collection name: Unify2 Data Collection - MSitDT Polarity: Low is good Polarity is how sentiment is measured "Sentiment is usually considered to have "poles" positive and negative these are often translated into "good" and "bad" sentiment analysis is considered useful to tell us what is good and bad in our information stream.

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

The rate of delayed transfers of care from all NHS hospitals per 100,000 population aged 18+. A delayed transfer of care occurs when a patient is ready for transfer from a hospital bed, but is still occupying such a bed. A patient is ready for transfer when: [a] a clinical decision has been made that the patient is ready for transfer AND; [b] a multi-disciplinary team decision has been made that the patient is ready for transfer AND; [c] the patient is safe to discharge/transfer. This therefore measures the ability of the whole system to ensure appropriate discharge for the whole population passing through hospital and is an indicator of the effectiveness of the interface between health and social care services.

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

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.

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)

Content

This dataset is the complete UK NHS (National Health Service) Hospital Database including geospatial data.

Acknowledgements

Data is available on the NHS website under the Open Government Licence.

Cover photo by Camilo Jimenez on Unsplash Unsplash Images are distributed under a unique Unsplash License.

• OrganisationID

• OrganisationCode

• OrganisationType

• SubType

• Sector

• OrganisationStatus

• IsPimsManaged

• OrganisationName

• Address1

• Address2

• Address3

• City

• County

• Postcode

• Latitude

• Longitude

• ParentODSCode

• ParentName

• Phone

• Email

With a hospitals database covering private hospital groups and hospices, accurate management contact lists can be purchased by size and region.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2021-22, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2022. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the third publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. The MethodfDelivery measure counting babies has been replaced by the DeliveryMethodBabyGroup measure which counts deliveries, and the smoking at booking and folic acid status measures have been renamed - these changes have been made to better align this annual publication with the Maternity Services Monthly Statistics publication. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

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.