During the financial year 2023/24, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with over 370 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second-busiest trust this year was the Manchester University NHS Foundation Trust, with approximately 334 thousand admissions. Accident and emergency admissionsFrom April to June 2023, there were around 6.5 million accident and emergency (A&E) attendees (including at A&E departments not in hospitals) in England. After the drop in A&E attendances during the COVID-pandemic, numbers have risen again to previous levels, with a trend towards an increasing number of individuals seeking emergency care. Over three percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over four percent were diagnosed with a respiratory infection. Furthermore, 7.4 percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched. Waiting too longOver the last few years in the A&E department, the NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. The last time this target was reached was back in July 2015. Not just the A&E department, but other services also require lengthy waits. It is no wonder that the majority of respondents surveyed were fairly or very dissatisfied with the length of wait for many aspects of NHS care. Moreover, in general, levels of satisfaction with the way NHS runs is at an all time low.

In 2022, there were an estimated 2,001 hospitals in the United Kingdom. The number of hospitals in the UK had been declining prior to 2015, standing at 1,568 in 2014, before slightly rising again in the subsequent years.

Healthcare indicators

Expenditure on health in the UK amounted to 11.3 percent of the GDP in 2022. This proportion has been increasing since 2000, with 2020 and 201 being outliers. The pressure on general practices has been increasing in the UK in the last ten years. In 2016, there were 7.8 thousand patients to each GP practice on average in the NHS England. By 2023 it came to ten thousand patients to a practice.

Opinion of healthcare in the country

The quality of British healthcare is still generally regarded as good by the majority. In a survey of nine European countries, 58 percent of British respondents rated the quality of their accessible healthcare as good, while only 14 percent regarded it as poor. This was the fifth place among countries surveyed, down from its top spot in 2018, when 73 percent of the public gave good rating. Similarly, 58 percent of Brits surveyed trusted the treatment offered, compared to only 18 percent who did not.

This is a publication on Accident and Emergency (A&E) 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 published each month. This is a joint publication between NHS Digital and NHS England. This collaboration enables data to be brought together from different sources enabling inclusion of a wider set of breakdowns and measures and a more complete picture to be presented. The data sources for this publication are the Emergency Care Data Set (ECDS) for2020-21 and 2021-22, HES A&E for activity prior to 2020-21 and the A&E Attendances and Emergency Admissions Monthly Situation Reports (MSitAE). This is the second year this report has been produced using ECDS in its submitted format, replacing the use of Hospital Episode Statistics (HES). Further information is available in the Data Quality Statement. The ECDS data set contains several new and additional reporting fields not previously available in HES A&E enabling new insights to be identified from data. Reported information based on these new splits and metrics presented within the report are presented as Experimental Statistics and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. This publication releases some high level analyses of both ECDS/HES and MSitAE data relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. It includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and re-attendances to A&E within 7 days. The following additional analyses are also included in this report: • Comparison of 4 hour and 12 hour waits between the four home nations, England, Scotland, Northern Ireland and Wales • A&E attendances by Index of Multiple Deprivation (IMD) • A&E attendances by ethnicity • Weekly variation in attendance activity during the pandemic, by department type

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Hospital Beds Market Size 2025-2029

The hospital beds market size is forecast to increase by USD 2.69 billion, at a CAGR of 9.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the rise in infectious diseases and the increasing number of medical emergencies. These factors have led to a heightened demand for advanced hospital beds that cater to the specific needs of patients. For instance, bariatric hospital beds are gaining popularity due to the increasing prevalence of obesity and related health issues. Similarly, intensive care unit (ICU) beds are in high demand due to the growing number of critical patients requiring constant monitoring and care. However, the high cost of automated hospital beds poses a significant challenge for market growth. These advanced beds come with advanced features such as adjustable heights, electric mattresses, and integrated technology for patient monitoring.
While these features offer numerous benefits, they also increase the cost of production and, subsequently, the price of the beds. This challenge may limit the adoption of automated hospital beds in some healthcare facilities, particularly in developing countries and low-income regions. Another challenge is the shortage of hospital beds, especially during outbreaks of infectious diseases. For instance, during the COVID-19 pandemic, many hospitals faced a shortage of beds, leading to overcrowding and an increased risk of infection transmission. To address this challenge, some companies have started producing modular and portable hospital beds that can be easily transported and set up in temporary hospitals or quarantine facilities. The demand for home healthcare services is also driving the market, as patients prefer to receive care

What will be the Size of the Hospital Beds Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market encompasses various product offerings, including those with remote bed control, chronic care support, and smart bed technology. Chronic care patients benefit from these advanced beds, which enhance healthcare efficiency and patient comfort. Recyclable materials and corrosion resistance are essential considerations for bed manufacturers, aligning with the industry's sustainability and cost optimization efforts. Data analytics plays a crucial role in hospital bed procurement, enabling supply chain management and clinical outcomes assessment. Lateral rotation and automatic bed turning features cater to acute care and long-term care settings, ensuring patient safety and improving sleep quality. Rental services offer flexibility for healthcare facilities, allowing them to adapt to changing patient needs while minimizing capital expenditures.
Wireless connectivity integration enables patient monitoring and data sharing, enhancing the overall quality of care. Patient safety remains a top priority, with material durability and clinical outcomes being key factors in bed selection. Smart bed technology, including automatic bed turning and home healthcare integration, further improves patient care and satisfaction. In the realm of hospital bed procurement, cost optimization and quality control are essential elements. Lease agreements provide an alternative financing option, enabling healthcare providers to access advanced bed technology while managing budgets effectively. Regardless of the specific market segment, the hospital beds industry continues to evolve, integrating the latest technology and trends to meet the unique needs of healthcare facilities and patients.

How is this Hospital Beds Industry segmented?

The hospital beds industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Manual beds
  Semi-automated beds
  Automated beds


Application

  Intensive care
  Acute care
  Home care


End-user

  Hospitals
  Home healthcare
  Elderly care facilities
  Ambulatory surgical centers


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The manual beds segment is estimated to witness significant growth during the forecast period. The market encompasses various product offerings, including manual and electric beds, bariatric beds, geriatric beds, ICU beds, operating room beds, and recovery room beds. Compliance with regulatory standards is a crucial factor in this market, ensuring easy cleaning, bedside rails, and fall prevention. Manual beds, the largest segment, remain po

London was the city in the United Kingdom with the highest costs for constructing a general hospital in 2024. Meanwhile, among cities included in this selection, Leeds was the cheapest one to build that kind of structure. The expenses of such a construction in London were over 500 British pounds higher than in Glasgow. The capital of the UK is the most expensive area for public building construction. Hospital bed numbers still in decline The number of hospital beds in the UK has been declining since 2000. Between 2000 and 2020, figures decreased from 240,144 to 162,723 number of beds. The reduction in hospital beds is, among other reasons, attributed to technical improvements in surgery rooms, patients with mental health problems being treated in different settings, and most importantly, cuts to NHS funding. However, the number of beds increased slightly again in 2021 and 2022. Increased healthcare spend Despite past funding cuts and declining availability of hospital beds, healthcare spending has significantly increased in the past twenty years. In 2022, expenditure reached a peak of nearly 282 billion British pounds, whereas in 2000, this figure amounted to 79 billion British pounds. The value of healthcare expenditure as a share of GDP also increased significantly in the past years.

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. The Kennedy report recommended that HES should be "supported as a major national resource for the monitoring of a range of healthcare outcomes". Note: (04/02/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. Chart 3 has been updated to include 2011-12 data. Note: (28/01/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. This updates and corrects the 2011-12 figure for bariatric surgery for obesity to include new OPCS 4.6 procedure codes that were introduced in April 2011

This horizontal bar chart displays hospital beds (per 1,000 people) by currency using the aggregation average, weighted by population in the United Kingdom. The data is filtered where the date is 2021. The data is about countries per year.

Between July and September 2019, there were almost 1.5 million admissions to NHS hospitals in England. Over the provided time interval, that is the quarter with the highest number of admissions.

Busiest hospitals in England

During the financial year 2018/19, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with almost 393.6 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second busiest trust in this year was the Manchester University Foundation Trust with approximately 315.7 thousand admissions.

Emergency admissions

In the period 2018/19, there were over six million accident and emergency (A&E) attendees in each quarter of the year in England. Prior to 2017/18, no previous quarter in England since 2012 had reached six million A&E attendances, indicating an increasing number of individuals are seeking emergency care. Approximately 5.1 percent of A&E attendees in England in 2018/19 were primarily diagnosed with a dislocation, fracture, joint injury, or an amputation, followed by 5 percent diagnosed with a respiratory condition. Although 4.7 percent were found to have ‘nothing abnormal detected’ which could be detrimental to a service that is already stretched.

This horizontal bar chart displays hospital beds (per 1,000 people) by countries yearly using the aggregation average, weighted by population in the United Kingdom. The data is filtered where the date is 2021. The data is about countries per year.

Crude rate of cost of admissions for alcohol-related conditions (Broad definition) per head of population.

Rationale Alcohol misuse across the UK is a significant public health problem with major health, social, and economic consequences. This indicator aims to highlight the impact of alcohol-related conditions on inpatient hospital services in England. High costs of alcohol-related admissions are indicative of poor population health and high alcohol consumption. This indicator highlights the resource implications of alcohol-related conditions and supports the arguments for local health promotion initiatives. Publication of this indicator will allow national and local cost estimates to be updated and consistently monitored going forward. This measure accounts for just one aspect of the cost of alcohol to society, but there are others such as primary care, crime, ambulatory services, and specialist treatment services as well as broader costs such as unemployment and loss of productivity.

The Government has said that everyone has a role to play in reducing the harmful use of alcohol. This indicator is one of the key contributions by the Government (and the Department of Health and Social Care) to promote measurable, evidence-based prevention activities at a local level, and supports the national ambitions to reduce harm set out in the Government's Alcohol Strategy. This ambition is part of the monitoring arrangements for the Responsibility Deal Alcohol Network. Alcohol-related admissions can be reduced through local interventions to reduce alcohol misuse and harm.

References: (1) PHE (2020) The Burden of Disease in England compared with 22 peer countries https://www.gov.uk/government/publications/global-burden-of-disease-for-england-international-comparisons/the-burden-of-disease-in-england-compared-with-22-peer-countries-executive-summary

Definition of numerator The total cost (£s) of alcohol-related admissions (Broad). Admissions to hospital where the primary diagnosis is an alcohol-related condition, or a secondary diagnosis is an alcohol-related external cause.

More specifically, hospital admissions records are identified where the admission is a finished episode [epistat = 3]; the admission is an ordinary admission, day case or maternity [classpat = 1, 2 or 5]; it is an admission episode [epiorder = 1]; the sex of the patient is valid [sex = 1 or 2]; there is a valid age at start of episode [startage between 0 and 150 or between 7001 and 7007]; the region of residence is one of the English regions, no fixed abode or unknown [resgor <= K or U or Y]; the episode end date [epiend] falls within the financial year, and an alcohol-attributable ICD10 code appears in the primary diagnosis field [diag_01] or an alcohol-related external cause code appears in any diagnosis field [diag_nn].

For each episode identified, an alcohol-attributable fraction is applied to the primary diagnosis field or an alcohol-attributable external cause code appears in one of the secondary codes based on the diagnostic codes, age group, and sex of the patient. Where there is more than one alcohol-related ICD10 code among the 20 possible diagnostic codes, the code with the largest alcohol-attributable fraction is selected; in the event of there being two or more codes with the same alcohol-attributable fraction within the same episode, the one from the lowest diagnostic position is selected. For a detailed list of all alcohol-attributable diseases, including ICD 10 codes and relative risks, see ‘Alcohol-attributable fractions for England: an update’ (2). Alcohol-related hospital admission episodes were extracted from HES according to the Broad definition and admissions flagged as either elective or non-elective based on the admission method field.

The cost of each admission episode was calculated using the National Cost Collection (published by NHS England) main schedule dataset for the corresponding financial year applied to elective and non-elective admission episodes. The healthcare resource group (HRG) was identified using the HES field SUSHRG [SUS Generated HRG], which is the SUS PbR derived HRG code at episode level. Healthcare Resource Groups (HRGs) are standard groupings of clinically similar treatments which use common levels of healthcare resource. The elective admissions were assigned an average of the elective and day-case costs. The non-electives were assigned an average of the non-elective long stay and non-elective short stay costs. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. For each record, the AAF was multiplied by the reference cost and the resulting values were aggregated by the required output geographies to provide numerators for the cost per capita indicator.

References: (2) PHE (2020) Alcohol-attributable fractions for England: an update https://www.gov.uk/government/publications/alcohol-attributable-fractions-for-england-an-update

Definition of denominator Mid-year population estimates.

Caveats Not all alcohol-related conditions require inpatient services, so this indicator is only one measure of the alcohol-related health problems in each local area. However, inpatient admissions are easily monitored, and this indicator provides local authorities with a routine method of monitoring the health impacts of alcohol in their local populations.

The Healthcare Resource Group cost assigned to each hospital admission is for the initial admission episode only and doesn’t include costs related to alcohol in any subsequent episodes in the hospital spell. Where the HRG was not available or did not match the National Reference Costs look-up table, an average elective or non-elective cost was imputed. This may result in the cost of these admissions being underestimated. It must be noted that the numerator is based on the financial year and the denominator on calendar mid-year population estimates, e.g., 2019/20 admission rates are constructed from admission counts for the 2019/20 financial year and mid-year population estimates for the 2020 calendar year. Data for England includes records with geography 'No fixed abode'. Alcohol-attributable fractions were not available for children. Conditions where low levels of alcohol consumption are protective (have a negative alcohol-attributable fraction) are not included in the calculation of the indicator. This does not include attendance at Accident and Emergency departments. Hospital Episode Statistics overall is well completed. However, year-on-year variations exist due to poor completion from a proportion of trusts.

Analysis has revealed significant differences across the country in the coding of cancer patients in the Hospital Episode Statistics. In particular, in some areas, regular attenders at hospital for treatments like chemotherapy and radiotherapy are being incorrectly recorded as ordinary or day-case admissions. Since cancer admissions form part of the overarching alcohol-related admission national indicators, the inconsistent recording across the country for cancer patients has some implication for these headline measures.

Cancer admissions make up approximately a quarter of the total number of alcohol-related admissions. Analysis suggests that, although most Local Authorities would remain within the same RAG group compared with the England average if cancer admissions were removed, the ranking of Local Authorities within RAG groups would be altered. We are continuing to monitor the impact of this issue and to consider ways of improving the consistency between areas. The COVID-19 pandemic had a large impact on hospital activity with a reduction in admissions in 2020 to 2021. Because of this, NHS Digital has been unable to analyse coverage (measured as the difference between expected and actual records submitted by NHS Trusts) in the normal way. There may have been issues around coverage in some areas which were not identified as a result.

The UK hospital supplies market, a significant segment of the broader European healthcare landscape, is experiencing robust growth driven by several key factors. An aging population, increasing prevalence of chronic diseases, and advancements in medical technology are fueling demand for a wider range of sophisticated hospital supplies. Government initiatives promoting improved healthcare infrastructure and patient care further contribute to market expansion. The market is segmented by product type, with patient examination devices, operating room equipment, and disposable supplies representing significant portions of the overall revenue. Technological innovations, such as minimally invasive surgical tools and advanced diagnostic equipment, are reshaping the market, leading to increased efficiency and improved patient outcomes. However, budgetary constraints within the National Health Service (NHS) and stringent regulatory requirements represent potential challenges to sustained, rapid growth. Competitive pressures from both domestic and international suppliers also influence market dynamics, encouraging innovation and price optimization. Despite these challenges, the market is projected to maintain a healthy growth trajectory. The focus on preventative healthcare and the increasing adoption of telehealth solutions are expected to drive demand for certain product categories, particularly remote monitoring devices and telehealth-compatible equipment. Furthermore, the UK's commitment to improving its healthcare system, along with investments in research and development, should support a positive outlook for the hospital supplies market in the coming years. Companies operating in this market are likely to focus on strategic partnerships, mergers, and acquisitions to expand their product portfolios and market reach, capitalizing on opportunities presented by the evolving healthcare landscape in the UK. Given the 5.60% CAGR observed globally, a conservative estimate for the UK market would likely fall within the range of 4-6%, reflecting the complexities of the NHS and the regional economic factors. Recent developments include: In April 2022, the United Kingdom donated to Ukraine 5.29 million items of medical supplies to help the country cope with the medical emergency, which includes lifesaving medicines, wound packs, and intensive care equipment., In July 2020, BD (Becton, Dickinson, and Company) announced the receipt of a large pandemic order from the United Kingdom (U.K.) government for 65 million needles and syringes to be d.elivered by mid-September 2020 to support the U.K. vaccination effort for COVID-19.. Key drivers for this market are: Increasing Incidences of Communal Diseases, Growing Public Awareness about Hospital Acquired Infections. Potential restraints include: Increasing Incidences of Communal Diseases, Growing Public Awareness about Hospital Acquired Infections. Notable trends are: Disposable Hospital Supplies Holds the Major Share in the Market Studied.

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-outpatient-activity

According to Cognitive Market Research, the global Modular Hospital market size will be USD 6512.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.30% from 2024 to 2031.

North America held the major market share, more than 40% of the global revenue, with a market size of USD 2604.88 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1953.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1497.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
Latin America's market will have more than 5% of the global revenue with a market size of USD 325.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Middle East and Africa held the major market share of around 2% of the global revenue, with a market size of USD 130.24 million in 2024. The market will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Steel held the highest Modular Hospital market revenue share in 2024.

Key Drivers of Modular Hospital Market

Expanding Healthcare to Provide More Facilities to Provide Viable Market Output

The Modular Hospital market is experiencing significant growth due to the expansion of healthcare to provide more facilities. As populations increase and medical needs evolve, there's a pressing demand for more healthcare facilities. Modular hospitals offer a flexible and rapid solution, enabling the quick establishment of fully functional medical centers. These facilities can be deployed in remote or underserved areas where traditional construction may be challenging. Moreover, modular hospitals provide scalability, allowing for easy expansion or reconfiguration as healthcare needs evolve. With their cost-effectiveness, speed of deployment, and adaptability, modular hospitals are becoming integral to healthcare systems striving to provide comprehensive medical services to a broader population base.

For instance, in September 2020, the UK National Health Service included Portakabin in the NHS Shared Business Services procurement framework. Under this inclusion, the company has provided isolation units for Hywel DDA University Health Board in Wales and an additional 30-bed modern ward built (in just 8 weeks) to treat coronavirus-affected patients.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/healthcare-experts/)

Various Strategies Adopted by Key Players to Propel Market Growth

The Modular Hospital market is experiencing growth due to the various strategies chosen by key players. These include strategic partnerships and collaborations to leverage each other's expertise and resources, technological advancements to enhance modular hospital designs and functionalities, geographical expansions to enter into new markets and customer bases, and investments in research and development to improve product offerings continually. Additionally, customization and flexibility in modular hospital solutions are being prioritized to meet the unique needs of different healthcare facilities and settings, thereby increasing their adoption and market penetration. Overall, these strategies aim to strengthen market presence, increase competitiveness, and cater to evolving healthcare demands efficiently.

For instance, in January 2020, The Norfolk and Norwich University Hospital, U.K., awarded a project to Portakabin Ltd to build an off-site healthcare suite for patients. It is named 'The Aylsham Suite' and has space for nearly 28 patients. It also includes areas for relaxation, therapies, and treatments.

(Source: https://www.portakabin.com/gb-en/news-and-events/news/alysham-suite/)

Restraint Factors of Modular Hospital Market

Limited Customization to Restrict Market Growth

The Modular Hospital market faces a challenge due to limited customization. While modular hospitals offer pre-designed and pre-fabricated components that can be quickly assembled, there may be limitations in terms of tailoring the design to specific needs or preferences. This lack of customization could pose challenges for healthcare providers who require specialized facilities or layouts to meet unique opera...

This publication looks at Accident and Emergency activity in England for the financial year 2023-24. It describes NHS accident and emergency activity and performance in hospitals in England. The data sources for this publication are the Emergency Care Data Set (ECDS) and Emergency Admissions Monthly Situation Reports (MSitAE) relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. The report includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and reattendances to A&E within 7 days. 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. Note: the MSitAE figures presented in the 'MSitAE Report Tables' file account for revisions to historic data and may therefore differ slightly from those shown in the 'Quality Indicators (CQI) Open Data' file, which is based on data published at fixed points in the year. The MSitAE data referenced throughout this report are published monthly by NHS England on the separate 'NHS England MSitAE Home Page', as linked to in the Related Links section below. This publication includes the total number of attendances for all A&E types, including Urgent Treatment Centres, Minor Injury Units and Walk-in Centres, and of these, the number discharged, admitted or transferred within four hours of arrival. Also included are the number of Emergency Admissions, and any waits of over four hours for admission following decision to admit. Contact details Author: Secondary Care Open Data and Publications; Activity Capacity & Planning, NHS England Responsible Statistician: Karl Eichler Email: enquiries@nhsdigital.nhs.uk Press enquiries should be made to: Media Relations Manager: telephone 0300 303 3888

Background The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA19 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA19 summer audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. EHR University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU beds. 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: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 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

Background The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA20 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA20 winter audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. EHR University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU beds. 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: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.
Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 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

From April 2023 to March 2024, the busiest day of the week was Monday, with nearly 3.9 million people attending the accident and emergency room in England. The number of A&E gradually decreases throughout the week, with a small increase going from Saturday to Sunday.

Objective: to investigate factors associated with unscheduled admission following presentation to Emergency Departments (EDs) at three hospitals in England. Design and setting: cross-sectional analysis of attendance data for patients from three urban EDs in England: a large teaching hospital and major trauma centre (Site 1), and two district general hospitals (Sites 2 and 3). Variables included: patient age, gender, ethnicity, deprivation score, arrival date and time, arrival by ambulance or otherwise, a variety of ED workload measures, inpatient bed occupancy rates and admission outcome. Coding inconsistencies in routine ED data used for this study meant that diagnosis could not be included. Outcome measure: The primary outcome for the study was unscheduled admission. Participants: all adults aged 16 and over attending the three inner London EDs in December 2013. Data on 19,734 unique patient attendances were gathered. Results: outcome data were available for 19,721 attendances (>99%), of whom 6,263 (32%) were admitted to hospital. Site 1 was set as the baseline site for analysis of admission risk. Risk of admission was significantly greater at Sites 2 and 3 (AOR relative to Site 1 for Site 2 was 1.89, 95% CI 1.74-2.05, p<0.001), and for patients of black or black British ethnicity (1.29, 1.16-1.44, p<0.001). Deprivation was strongly associated with admission. Analysis of departmental and hospital-wide workload pressures gave conflicting results, but proximity to the “four-hour target” (a rule that limits patient stays in EDs to four hours in the NHS in England) emerged as a strong driver for admission in this analysis (3.61, 3.30-3.95, p<0.001). Conclusion: this study found statistically significant variations in odds of admission between hospital sites when adjusting for various patient demographic and presentation factors, suggesting important variations in ED- and clinician-level behaviour relating to admission decisions. The four-hour target is a strong driver for emergency admission.

PIONEER: Deeply-phenotyped hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 4.0

Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases& more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS)& death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.

EHR. University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU beds. 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”. UHB has cared for >5000 COVID admissions to date.

Scope: All COVID swab confirmed hospitalised patients to UHB from January – May 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes but also primary care records& clinic letters. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT, MRI, ultrasound).

Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; ambulance, 111, 999 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.

In 2023, there were nearly 11 thousand hospitals in Columbia, the highest number among OECD countries, followed by 8,156 hospitals in Japan. If only general hospitals were counted (excluding mental health hospitals and other specialized hospitals), Japan had the most number of general hospitals among OECD countries worldwide. Most countries reported hospitals numbers similar to or lower than the previous year. Meanwhile, Mexico, South Korea and the Netherlands all reported more hospitals than last year.