28 datasets found
  1. Number of hospital beds in the United Kingdom (UK) 2000-2022

    • statista.com
    • flwrdeptvarieties.store
    Updated Apr 25, 2024
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    Statista (2024). Number of hospital beds in the United Kingdom (UK) 2000-2022 [Dataset]. https://www.statista.com/statistics/473264/number-of-hospital-beds-in-the-united-kingdom-uk/
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    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 2020 this figure was approximately 163 thousand. This means over this period there were over 80 thousand fewer hospital beds in the UK. However in the recent years since 2020, the number of hospital beds have been increasing, the first time in the recorded time period.

    Fewer beds but admissions are still high

    There were almost 16.4 million admissions to hospital between April 2022 to March 2023 in England. The number of admissions has recovered somewhat since the drop in year 2020/21. The busiest hospital trust in England by admissions in the year 2022/23 was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. The average length of stay in hospitals in the UK in 2021 for acute care was seven days.

    Accident and Emergency

    In the first quarter of 2023/24, A&E in England received around 6.5 million attendees. The number of attendances has been creeping upwards since 2012. Around 2.4 percent of people attending A&E in the last year were diagnosed with an upper respiratory condition, followed by 1.8 percent with a lower respiratory tract infection.

  2. Parameter variables and values for the compartmental model.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Christopher E. Overton; Lorenzo Pellis; Helena B. Stage; Francesca Scarabel; Joshua Burton; Christophe Fraser; Ian Hall; Thomas A. House; Chris Jewell; Anel Nurtay; Filippo Pagani; Katrina A. Lythgoe (2023). Parameter variables and values for the compartmental model. [Dataset]. http://doi.org/10.1371/journal.pcbi.1010406.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christopher E. Overton; Lorenzo Pellis; Helena B. Stage; Francesca Scarabel; Joshua Burton; Christophe Fraser; Ian Hall; Thomas A. House; Chris Jewell; Anel Nurtay; Filippo Pagani; Katrina A. Lythgoe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Parameter variables and values for the compartmental model.

  3. State variables for the compartmental model.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Christopher E. Overton; Lorenzo Pellis; Helena B. Stage; Francesca Scarabel; Joshua Burton; Christophe Fraser; Ian Hall; Thomas A. House; Chris Jewell; Anel Nurtay; Filippo Pagani; Katrina A. Lythgoe (2023). State variables for the compartmental model. [Dataset]. http://doi.org/10.1371/journal.pcbi.1010406.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christopher E. Overton; Lorenzo Pellis; Helena B. Stage; Francesca Scarabel; Joshua Burton; Christophe Fraser; Ian Hall; Thomas A. House; Chris Jewell; Anel Nurtay; Filippo Pagani; Katrina A. Lythgoe
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    State variables for the compartmental model.

  4. d

    Hospital Accident & Emergency Activity

    • digital.nhs.uk
    Updated Sep 26, 2024
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    (2024). Hospital Accident & Emergency Activity [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity
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    Dataset updated
    Sep 26, 2024
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2023 - Mar 31, 2024
    Description

    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

  5. w

    Transfers of care

    • data.wu.ac.at
    csv
    Updated Apr 12, 2018
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    Plymouth City Council (2018). Transfers of care [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/ZTIwMzI5NDQtYmQyZC00YzFmLTllYjMtYzgzMjZlNWFiNGM2
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    csvAvailable download formats
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    Plymouth City Council
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  6. d

    Adult Critical Care Data in England, April 08 to March 09, Experimental...

    • digital.nhs.uk
    pdf, xls
    Updated Apr 15, 2010
    + more versions
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    (2010). Adult Critical Care Data in England, April 08 to March 09, Experimental statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-adult-critical-care-activity
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    pdf(21.6 kB), pdf(468.1 kB), xls(273.4 kB), pdf(321.0 kB)Available download formats
    Dataset updated
    Apr 15, 2010
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2008 - Mar 31, 2009
    Area covered
    England
    Description

    This is the first 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 2008 and 31 March 2009 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 critical care HES data for the first time as experimental statistics allows for discussion, analysis and promotion of the data set, which in turn should lead to improved coverage and data quality.

  7. Medical Mattresses Market Analysis Asia, North America, Europe, Rest of...

    • technavio.com
    Updated Nov 9, 2023
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    Technavio (2023). Medical Mattresses Market Analysis Asia, North America, Europe, Rest of World (ROW) - US, Germany, UK, China, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/medical-mattresses-market-industry-analysis
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Europe, United Kingdom, Global
    Description

    Snapshot img

    Medical Mattresses Market 2024-2028

    The global medical mattresses market size is estimated to grow by USD 3.81 billion at a CAGR of 4.91% between 2023 and 2028.

    Spread of infectious diseases such as tuberculosis (TB) and COVID-19 is anticipated to increase the demand for medical mattresses across the globe. Furthermore, an increase in the prevalence of infectious diseases drives admission rates in healthcare facilities. To meet the high demand from healthcare facilities, manufacturers and suppliers are introducing advanced products and increasing market penetration through efficient distribution networks. The rising incidence of infectious diseases has prompted suppliers and manufacturers to expand their market reach and enter emerging markets. Hence, these factors will also drive market growth during the forecast period.It also includes an in-depth analysis of drivers, trends, and challenges. Our report examines historical data from 2018-2022, besides analyzing the current market scenario.

    What will be the size of the Medical Mattresses Market During the Forecast Period?

    Request Free Sample

    Market Segmentation

    The medical mattresses market report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the latest trends and growth opportunities from 2018 to 2028.

    End-user Outlook
    
      Commercial
      Residential
    
    
    
    
    
    Product Outlook
    
      Foam
      Innerspring
      Others
    
    
    
    
    
    Region Outlook
    
      North America
    
        The U.S.
        Canada
    
    
    
    
    
      Europe
    
        The U.K.
        Germany
        France
        Rest of Europe
    
    
    
    
    
      Asia
    
        China
        India
    
    
    
    
    
      Rest of the World (ROW)
    
        Argentina
        Australia
        Brazil 
    

    End-user Analysis

    The market share growth by the commercial segment will be significant during the forecast period. The commercial segment includes end-users, including hospitals, healthcare providers, and rehabilitation facilities. These mattresses are specifically engineered to provide optimal support and comfort to patients during a variety of medical procedures, after-care, or for those with pre-existing medical conditions.

    Get a glance at the market contribution of various segments Download PDF Sample

    The commercial segment was valued at USD 9.59 billion in 2018. Medical mattresses are utilized in healthcare settings to enhance patient comfort during medical examinations, treatments, and monitoring procedures. Additionally, these mattresses may be designed with specific features, such as additional firmness and dynamic pressure redistribution, to meet the specific requirements of patients in rehabilitation programs. Hence, such factors under the commercial end-user segment will boost the growth of the global medical mattresses market during the forecast period. Moreover, advancements in antimicrobial medical textiles used in these mattresses are enhancing infection control and hygiene standards in healthcare settings. These textiles incorporate antimicrobial properties to inhibit the growth of bacteria and pathogens, thereby reducing the risk of healthcare-associated infections. The integration of antimicrobial medical textiles in medical mattresses underscores the industry's commitment to enhancing patient safety and comfort, which further supports the market's growth trajectory.

    Product Analysis

    Foam

    Foam mattresses are made with various layers of foam, such as memory foam, or even more specially designed foam, such as viscoelastic foam. These layers of foam mold to the patient's body shape and distribute their weight evenly. The foam's ability to align with the body's contours helps to keep the spine in proper alignment, reducing pain and complications. Medical mattresses made from foam are renowned for their strength and durability, making them an economical choice for healthcare settings. Hence, these advantages and features will raise the demand for foam as a product segment and will consequently drive the growth of the market during the forecast period.

    Regional Analysis

    For more insights about the market share of various regions Download the PDF Sample now!

    Asia is estimated to contribute 44% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that will shape the market during the forecast period. The medical mattresses market in Asia is driven by the increasing number of hospitals, clinics, and diagnostic centers, the growing geriatric population, and the rising prevalence of chronic diseases in the region.

    Moreover, an increase in the number of hospital beds in developed and developing countries such as Japan and South Korea and rising healthcare expenditure are factors that are expected to drive the growth of the market in the region. Furthermore, manufacturers and suppliers of medical mattresses are shifting their production facilities and ma

  8. d

    Adult Critical Care Data in England, April 10 to March 11, Experimental...

    • digital.nhs.uk
    csv, jpeg, pdf, xls
    Updated May 16, 2012
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    (2012). Adult Critical Care Data in England, April 10 to March 11, Experimental Statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-adult-critical-care-activity
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    jpeg(56.8 kB), pdf(51.0 kB), pdf(533.6 kB), pdf(101.8 kB), csv(15.1 kB), xls(407.6 kB), csv(12.9 kB)Available download formats
    Dataset updated
    May 16, 2012
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2010 - Mar 31, 2011
    Area covered
    England
    Description

    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.

  9. d

    Mental Health Act Statistics, Annual Figures

    • digital.nhs.uk
    Updated Jan 25, 2024
    + more versions
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    (2024). Mental Health Act Statistics, Annual Figures [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-act-statistics-annual-figures
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    Dataset updated
    Jan 25, 2024
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2022 - Mar 31, 2023
    Description

    This publication contains the official statistics about uses of the Mental Health Act ('the Act') in England during 2022-23. Under the Act, people with a mental disorder may be formally detained in hospital (or 'sectioned') in the interests of their own health or safety, or for the protection of other people. They can also be treated in the community but subject to recall to hospital for assessment and/or treatment under a Community Treatment Order (CTO). In 2016-17, the way we source and produce these statistics changed. Previously these statistics were produced from the KP90 aggregate data collection. They are now primarily produced from the Mental Health Services Data Set (MHSDS). The MHSDS provides a much richer data source for these statistics, allowing for new insights into uses of the Act. People may be detained in secure psychiatric hospitals, other NHS Trusts or at Independent Service Providers (ISPs). All organisations that detain people under the Act must be registered with the Care Quality Commission (CQC). In recent years, the number of detentions under the Act have been rising. An independent review has examined how the Act is used and has made recommendations for improving the Mental Health Act legislation. In responding to the review, the government said it would introduce a new Mental Health Bill to reform practice. This publication does not cover: 1. People in hospital voluntarily for mental health treatment, as they have not been detained under the Act (see the Mental Health Bulletin). 2. Uses of section 136 where the place of safety was a police station; these are published by the Home Office.

  10. Monthly Situation Report – Critical Care and Urgent Cancelled Operations

    • standards.nhs.uk
    Updated May 17, 2024
    + more versions
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    NHS England (2024). Monthly Situation Report – Critical Care and Urgent Cancelled Operations [Dataset]. https://www.standards.nhs.uk/published-standards/monthly-situation-report-critical-care-and-urgent-cancelled-operations
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    Dataset updated
    May 17, 2024
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS England
    Description

    Data on the number of urgent operations cancelled, critical care capacity, including adult, paediatric and neonatal available and occupied critical care beds.

  11. h

    Laboratory turnaround times processing electronic blood test orders in the...

    • healthdatagateway.org
    unknown
    Updated Dec 5, 2023
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2023). Laboratory turnaround times processing electronic blood test orders in the NHS [Dataset]. https://healthdatagateway.org/dataset/162
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    unknownAvailable download formats
    Dataset updated
    Dec 5, 2023
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Pathology services are a fundamental core of healthcare services and are essential in the delivery of many national priorities. A Report of the Review of NHS Pathology Services in England, chaired by Lord Carter of Coles, estimated that 70-80 per cent of all healthcare decisions affecting diagnosis or treatment involve a pathology investigation. With the increased demand on acute care services there is a growing requirement for rapid laboratory results to facilitate the decision to discharge or admit, including the escalation of care. Laboratory turn around times (LTAT) are defined as the interval between when a test is requested to the time the results are available to the clinical team. LTAT is considered one of the most noticeable markers of a laboratory service and is often used as a key performance indicator in healthcare settings.

    Computerised Provider Order Entry (CPOE) systems are computer-assisted systems that are designed to replace a hospital’s paper-based ordering system. When configured correctly CPOE systems should increase efficiency and improve patient care.

    PIONEER geography: The West Midlands (WM) has a population of 5.9 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 & 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: Clinical and operational pathway data for 323,899 blood tests ordered pre and post implementation of a CPOE system. Data on the time the new system was implemented. Date and time fields are provided for the specimens from the point they were requested through to processing times in the laboratory and finally the date/time results are reported back via the Electronic Health System. Data on the ward and specialty are provided.

    Available supplementary data: Matched controls; ambulance, 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.

  12. Number of psychiatric care beds in the United Kingdom (UK) 2001-2022

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Number of psychiatric care beds in the United Kingdom (UK) 2001-2022 [Dataset]. https://www.statista.com/statistics/473278/number-of-psychiatric-care-beds-in-the-united-kingdom-uk/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of psychiatric care beds in the United Kingdom increased by 969 (+4.25 percent) in 2022 in comparison to the previous year. In total, the number of psychiatric care beds amounted to 23,782 in 2022. Find more statistics on other topics about the United Kingdom with key insights such as number of specialist surgeons and number of students who graduated as midwives.

  13. d

    Provisional Accident and Emergency Quality Indicators for England

    • digital.nhs.uk
    Updated Jan 31, 2025
    + more versions
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    (2025). Provisional Accident and Emergency Quality Indicators for England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/provisional-accident-and-emergency-quality-indicators-for-england
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    Dataset updated
    Jan 31, 2025
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2023 - Jan 31, 2025
    Area covered
    England
    Description

    Provisional Accident and Emergency Quality Indicators for England, January 2025, by provider The measures included in this publication report on data coverage in ECDS compared with the emergency monthly situation reports MSitAE published by NHS England and NHS Improvement. They also report statistics for total time in A&E, time to assessment, time to treatment, A&E attendances that left before treatment and unplanned reattendances within 7 days. Each report contains national figures and provider level figures. From the January 2023 release, the format of the publication was updated to open data format following a review and consultation. We are continuing to improve publications, please let us know if you have any feedback using the survey link below. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk Author: Secondary Care Open Data and Publications; Activity Capacity & Planning, NHS England Lead Analyst: Karl Eichler

  14. MoH – Farwaniya Hospital Expansion – Al Asimah

    • store.globaldata.com
    Updated Aug 21, 2018
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    GlobalData UK Ltd. (2018). MoH – Farwaniya Hospital Expansion – Al Asimah [Dataset]. https://store.globaldata.com/report/moh-farwaniya-hospital-expansion-al-asimah/
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    Dataset updated
    Aug 21, 2018
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2018 - 2022
    Area covered
    Al Asimah Governate, Al Farwaniyah Governorate, Kuwait
    Description

    The Ministry of Health, Kuwait (MoH) is undertaking the expansion of an existing hospital in Kuwait.The project involves the construction of a 340,447m2 healthcare complex comprising three new buildings on 10.4ha area with 938 beds. The first building includes the construction of a new hospital with a large emergency room (ER) facility, surgical units, outpatient clinics, an oncology unit and 465 patient beds; the second includes a physical therapy and dermatology clinic; and the third include a dental clinic and teaching facility.The project also includes the construction of 6 storey main hospital building with 955 bed capacity, car parking for 1500 vehicles, 130 specialized clinics, 30 clinics for school health, physiotherapy and outpatient buildings, 28 operation theaters, a 233-bed intensive care unit, a dentistry building with a total of 130 clinics, 30 emergency rooms, laboratories, pharmacy, surgical units, outpatient clinics and related facilities, and the installation of equipment and machinery, and safety and security systems.SQC International (formerly known as Dar Saleh Al Qallaf Engineering Consultant) and TRO Jung-Brannen have been appointed as design consultants; KEO International Consultants as lead consultant; Al Ghanim & Jabbour as excavation/enabling contractor; and Gulf Consult as construction supervisor.On January 01 2011,Design, FEED has been Awarded.On July 31 2013, Design, FEED has been Completed.On September 29 2013,Main Contract Tender Issue (ITB, RFP)MoH issued a tender for design, construction, medical preparation, furnishing and commissioning of the project. 26 firms have been pre-qualified to bid. The bidders submitted their detailed proposals on January 28, 2014.On March 19 2014, Main Contractor has been Awarded.On September 2, 2014, MoH signed the main contract with Sayed Hamid Behbehani & Sons Co. The scope of the contract is the design, construction, equipping, furnishing, operation and maintenance for the expansion of Al Farwaniah Hospital.In the third quarter of 2015, construction works commenced on the project.As of August 2018, construction works reached 44.5% with completion scheduled in 2020. Read More

  15. Rede Dor – Macae High level Hospital – Rio De Janeiro

    • store.globaldata.com
    Updated Sep 20, 2018
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    GlobalData UK Ltd. (2018). Rede Dor – Macae High level Hospital – Rio De Janeiro [Dataset]. https://store.globaldata.com/report/rede-dor-macae-high-level-hospital-rio-de-janeiro/
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    Dataset updated
    Sep 20, 2018
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2018 - 2022
    Area covered
    Macaé, Brazil
    Description

    Rede D'or is undertaking the construction of a Macae high-level hospital on a 25,000m2 area at Macae, Rio de Janeiro, Brazil.The project involves the construction of a 300 beds capacity of a hospital, rooms, administrative buildings, an ICU and an emergency unit, the installation of modern equipment and related infrastructures.The project will be developed in three phases. The first phase includes the construction of the first block with the capacity of 100 beds with an initial investment of US$35 million. Read More

  16. h

    Immune Checkpoint Inhibitors synthetic data: HDR UK Medicines Programme...

    • web.dev.hdruk.cloud
    • healthdatagateway.org
    unknown
    Updated Oct 8, 2024
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2024). Immune Checkpoint Inhibitors synthetic data: HDR UK Medicines Programme resource [Dataset]. https://web.dev.hdruk.cloud/dataset/189
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    unknownAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    This highly granular synthetic dataset created as an asset for the HDR UK Medicines programme includes information on 680 cancer patients over a period of three years. Includes simulated patient-related data, such as demographics & co-morbidities extracted from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to acute care process (readmissions, survival), primary diagnosis, presenting complaint, physiology readings, blood results (infection, inflammatory markers) and acuity markers such as AVPU Scale, NEWS2 score, imaging reports, prescribed & administered treatments including fluids, blood products, procedures, information on outpatient admissions and survival outcomes following one-year post discharge.

    The data was generated using a generative adversarial network model (CTGAN). A flat real data table was created by consolidating essential information from various key relational tables (medications, demographics). A synthetic version of the flat table was generated using a customized script based on the SDV package (N. Patki, 2016), that replicated the real distribution and logic relationships.

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

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

    Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and provide the real-data via application.

    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.

  17. h

    Ventilation strategies for patients on intensive care

    • healthdatagateway.org
    unknown
    Updated Jun 7, 2024
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2024). Ventilation strategies for patients on intensive care [Dataset]. https://healthdatagateway.org/dataset/151
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Jun 7, 2024
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Ventilatory strategies and outcomes for patients acutely admitted to hospital

    Dataset 14.0 Version 1.0 15.2.2021

    Background. Acute respiratory failure is commonly encountered in the emergency department (ED). Early treatment can have positive effects on long-term outcome. Non-invasive ventilation is commonly used for patients with respiratory failure during acute exacerbations of chronic obstructive lung disease and congestive heart failure. For other patients, including neuromuscular dysfunction, mechanical ventilation may be needed. For refractory hypoxemia, new rescue therapies have emerged to help improve the oxygenation, and in some cases mortality. This dataset summarises the demography, admitting complaint, serial physiology, treatments and ventilatory strategies in patients admitted with hypoxaemia. Management options and rescue therapies including extracorporeal membrane oxygenation are included.

    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.

    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. ITU capacity increased to 250 beds during the COVID pandemic. 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”. The electronic record captures ventilatory parameters.

    Scope: All hospitalised patients with hypoxaemia requiring ventilatory support from 2000 onwards. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), severity, ventilatory requirements, 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.

    Available supplementary data: Synthetic data. Post discharge care contacts.

    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.

  18. Medical Facility Environmental Monitoring System Market Analysis North...

    • technavio.com
    Updated Dec 20, 2022
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    Technavio (2022). Medical Facility Environmental Monitoring System Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, UK, Germany, China, Canada - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/medical-facility-environmental-monitoring-system-market-industry-analysis
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    Dataset updated
    Dec 20, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, Europe, United States, Germany, China, United Kingdom, Global
    Description

    Snapshot img

    Medical Facility Environmental Monitoring System Market Size 2024-2028

    The medical facility environmental monitoring system market size is forecast to increase by USD 114.3 million, at a CAGR of 6.46% between 2023 and 2028. Market growth hinges on multiple factors, foremost being the superior efficiency offered by automated monitoring systems compared to manual methods. This efficiency translates into increased productivity and cost-effectiveness for healthcare facilities, driving adoption and market expansion. Additionally, the ability of automated systems to lower medical losses enhances profitability by minimizing errors and improving resource allocation. Furthermore, stringent regulations governing environmental monitoring in healthcare facilities necessitate the implementation of advanced monitoring solutions, further bolstering market demand. Collectively, these factors create a conducive environment for the growth of monitoring systems in healthcare, where technological innovation, cost-efficiency, and regulatory compliance intersect to drive market dynamics. It also includes an in-depth analysis of market trends and analysis, market growth analysis and challenges. Furthermore, the report includes historic market data from 2018 - 2022.

    What will be the Size of the Market During the Forecast Period?

    To learn more about this report, View Report Sample

    Market Dynamic and Customer Landscape

    The market is witnessing a surge in demand due to the increasing focus on infection control practice standards and hygiene and control practices within healthcare facilities. With the rise in hospital-acquired infections and nosocomial infections, there is a growing need for advanced systems to ensure preventive healthcare measures. These systems play a crucial role in monitoring hospital beds, ICUs, and isolation facilities, providing real-time data to healthcare personnel for prompt intervention. By leveraging robotic systems and EPA-registered disinfectants, Healthcare environmental services companies can enhance infection control and preventive measures. From professional cleaning and disinfection services to healthcare waste management, these systems contribute to patient safety and reduce morbidity and mortality rates associated with infectious diseases. Additionally, seroprevalence studies and medical waste management are integral components of Healthcare Facility Management, ensuring a safe and hygienic environment for patients and staff alike. Our researchers analyzed the market research and growth data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    Key Market Driver

    The enhanced profitability by lowering medical losses is notably driving the market growth. Seasonal weather changes require medical facilities to change the settings of HVAC systems on a periodic basis. Poorly maintained HVAC systems may not only affect the condition of patients, but uneven temperature conditions can lead to the deterioration of critical medicines as well as the blood, tissues, and organs stored, thus affecting their quality. Even a minor snag in refrigeration can lead to medicines and essential healthcare products becoming useless or losing their potency, ultimately resulting in huge losses to medical operators.

    The use of medical facility environmental monitoring systems protects such medicines from getting spoiled and ensures their safety and potency in actual use. These systems also send alerts if there is any variation from the set temperature limit, thus ensuring the safe monitoring of medicines and vaccines and reducing product losses.

    Significant Market Trend

    The growing adoption of cloud-based analytics is the primary trend in the market. Cloud computing is a service using remote servers hosted on the Internet to store, manage, and process data - rather than running an application on a local server on-premise. The deployment of cloud-based analytics to analyze the data captured for monitoring medical environments will reduce the need for managing a data warehouse. The interactive dashboard provides information regarding the temperature and humidity trends for the out-of-range units and simultaneously improves temperature control and data management to provide timely alerts regarding system failure or any changes in temperature.

    Medical facility environment-monitoring system vendors are trying to enhance the user experience by simplifying data visuals, making the dashboard interactive, and providing information regarding the performance of air handling systems. Thus, the adoption of cloud-based analytics in medical facility environmental monitoring systems is expected to drive the growth of the market during the forecast period.

    Major Market Challenge

    Improper execution of healthcare information syste

  19. h

    A dataset of hospitalised patients with Sarcoma

    • healthdatagateway.org
    • web.dev.hdruk.cloud
    unknown
    Updated Jan 20, 2022
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2022). A dataset of hospitalised patients with Sarcoma [Dataset]. https://healthdatagateway.org/dataset/195
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Jan 20, 2022
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    Background

    Sarcomas are uncommon cancers that can affect any part of the body. There are many different types of sarcoma and subtypes can be grouped into soft tissue or bone sarcomas. About 15 people are diagnosed every day in the UK. 3 in every 200 people with cancer in the UK have sarcoma.

    A highly granular dataset with a confirmed sarcoma event including hospital presentation, serial physiology, demography, treatment prescribed and administered, prescribed and administered drugs. The infographic includes data from 27/12/2004 to 31/12/2021 but data is available from the past 10 years+.

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

    EHR. 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 & 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 hospitalised patients from 2004 onwards, curated to focus on Sarcoma. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), and all blood results (urea, albumin, platelets, white blood cells and others). Includes all prescribed & administered treatments and all outcomes. Linked images are also available (radiographs, CT scans, MRI).

    Available supplementary data: Matched controls; ambulance, 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.

  20. UMB – Bialystok University Hospital Expansion – Podlaskie

    • store.globaldata.com
    Updated Jun 20, 2017
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    GlobalData UK Ltd. (2017). UMB – Bialystok University Hospital Expansion – Podlaskie [Dataset]. https://store.globaldata.com/report/umb-bialystok-university-hospital-expansion-podlaskie/
    Explore at:
    Dataset updated
    Jun 20, 2017
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2017 - 2021
    Area covered
    Podlaskie Voivodeship, Białystok, Eastern Europe
    Description

    The Medical University of Bialystok (UMB) is undertaking the construction of Bialystok University Hospital Expansion project in Podlaskie, Poland.The project involves the expansion and modernization of hospital facilities on a 70,000m2 area to increase the capacity to 840 beds. It includes the construction of five new buildings, parking facilities, extension of two existing blocks and other related infrastructure and the installation of modern equipment for surgical operations and safety systems.Atelier Tektura has been appointed as architect.On February 6, 2013, a consortium of Budimex SA and Ferrovial Agroman SA was awarded construction contract worth US$45 million.Construction works are underway. Read More

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Statista (2024). Number of hospital beds in the United Kingdom (UK) 2000-2022 [Dataset]. https://www.statista.com/statistics/473264/number-of-hospital-beds-in-the-united-kingdom-uk/
Organization logo

Number of hospital beds in the United Kingdom (UK) 2000-2022

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 25, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom
Description

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 2020 this figure was approximately 163 thousand. This means over this period there were over 80 thousand fewer hospital beds in the UK. However in the recent years since 2020, the number of hospital beds have been increasing, the first time in the recorded time period.

Fewer beds but admissions are still high

There were almost 16.4 million admissions to hospital between April 2022 to March 2023 in England. The number of admissions has recovered somewhat since the drop in year 2020/21. The busiest hospital trust in England by admissions in the year 2022/23 was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. The average length of stay in hospitals in the UK in 2021 for acute care was seven days.

Accident and Emergency

In the first quarter of 2023/24, A&E in England received around 6.5 million attendees. The number of attendances has been creeping upwards since 2012. Around 2.4 percent of people attending A&E in the last year were diagnosed with an upper respiratory condition, followed by 1.8 percent with a lower respiratory tract infection.

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