37 datasets found
  1. Largest hospitals in the world as of 2022, by number of beds

    • statista.com
    Updated Apr 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Largest hospitals in the world as of 2022, by number of beds [Dataset]. https://www.statista.com/statistics/1461825/largest-hospitals-worldwide-by-number-of-beds/
    Explore at:
    Dataset updated
    Apr 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    World
    Description

    As of 2022, the largest hospital in the world was found in Henan, China. With seven thousand beds, First Affiliated Hospital of Zhengzhou University was ranked as the largest hospital globally according to its number of beds. The second largest hospital was also found in China. No U.S. hospital made the world top 20 list, although AdventHealth Orlando was close, being the largest hospital in the United States.

  2. Biggest U.S. hospitals based on their number of beds 2023

    • statista.com
    Updated May 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Biggest U.S. hospitals based on their number of beds 2023 [Dataset]. https://www.statista.com/statistics/245024/top-us-non-profit-hospitals-based-on-the-number-of-beds/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of December 2023, the biggest hospital in the United States was based in Florida. With 2,247 beds, AdventHealth Orlando was ranked as the largest hospital in the U.S. according to its number of beds. Second largest hospital was Yale New Haven in Connecticut.

  3. U.S. hospitals with the most annual ED visits 2022

    • statista.com
    Updated Dec 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. hospitals with the most annual ED visits 2022 [Dataset]. https://www.statista.com/statistics/590346/us-hospitals-most-emergency-room-visits/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The U.S. hospital with the most emergency department visits in 2022 was Parkland Health and Hospital System in Dallas, followed by Lakeland Regional Medical Center in Lakeland, Florida. In 2022, Parkland Health and Hospital System recorded 226,178 emergency room visits, while Lakeland Regional Medical Center received 199,927. Both hospitals saw an increase in emergency room visits compared to the previous year and both hospitals remained top of the list in both years.

    U.S. Hospitals

    There are various types of hospitals in the U.S. that supply numerous services. Hospitals can be broken into the categories: community hospitals, federal government hospitals, psychiatric care hospitals and long-term care hospitals. Some hospitals provide further specializations such as trauma care or paediatrics. The total number of hospitals in the U.S. continuously been decreasing since the 1970s. In general, non-federal hospitals make up the majority of hospitals.

    Emergency departments

    Recent estimates indicate that among adults the age groups with the highest prevalence of emergency room visits were among those aged 18-29 years and those aged 50-64 years. Among children, the most common reason for visiting the emergency department are respiratory disorders, followed by injury and poisoning.

  4. Ranking of health and health systems of countries worldwide in 2023

    • statista.com
    Updated Sep 24, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ranking of health and health systems of countries worldwide in 2023 [Dataset]. https://www.statista.com/statistics/1376359/health-and-health-system-ranking-of-countries-worldwide/
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

    Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

    Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

  5. F

    Total Revenue for Hospitals, All Establishments

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Total Revenue for Hospitals, All Establishments [Dataset]. https://fred.stlouisfed.org/series/REV622ALLEST144QSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Hospitals, All Establishments (REV622ALLEST144QSA) from Q4 2004 to Q3 2024 about hospitals, revenue, establishments, and USA.

  6. Largest hospital systems in the U.S. in 2024, by number of hospitals

    • statista.com
    Updated Jul 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Largest hospital systems in the U.S. in 2024, by number of hospitals [Dataset]. https://www.statista.com/statistics/245010/top-us-for-profit-hospital-operators-based-on-number-of-hospitals/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of January 2024, the Hospital Corporation of America, based in Nashville, Tennessee, was the largest health system in the United States, with a total of 219 hospitals. HCA Healthcare is also the largest U.S. health system when ranked by the number of beds and, as expected, by net patient revenue.Hospitals in the United StatesCurrently, there are approximately 6,120 hospitals in the United States. Looking over the past decades, this figure was constantly decreasing. For example, there were nearly 7,000 hospitals in 1980. There are some 5.3 million persons employed in U.S. hospitals in full-time. Contrary to the decrease in the number of hospitals, employment has been increasing steadily. According to the Bureau of Economic Analysis, U.S. hospitals generate a total gross output of around 1,075 billion U.S. dollars. The largest portion of U.S. hospitals are non-profit facilities. A smaller share includes private-owned for-profit hospitals. In most cases, these hospitals are part of hospital chains. For-profit hospitals developed especially in the 1990s, with the aim to gain profit for their shareholders. The Hospital Corporation of America, based in Nashville, Tennessee, is the U.S. for-profit hospital operator with the highest number of hospitals.

  7. COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries...

    • healthdata.gov
    • datahub.hhs.gov
    • +1more
    Updated May 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries (RAW) [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh
    Explore at:
    csv, application/rssxml, application/rdfxml, tsv, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15).

    The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.

    No statistical analysis is applied to account for non-response and/or to account for missing data.

    The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility.

    On April 27, 2022 the following pediatric fields were added:

  8. all_pediatric_inpatient_bed_occupied
  9. all_pediatric_inpatient_bed_occupied_coverage
  10. all_pediatric_inpatient_beds
  11. all_pediatric_inpatient_beds_coverage
  12. previous_day_admission_pediatric_covid_confirmed_0_4
  13. previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  14. previous_day_admission_pediatric_covid_confirmed_12_17
  15. previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  16. previous_day_admission_pediatric_covid_confirmed_5_11
  17. previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  18. previous_day_admission_pediatric_covid_confirmed_unknown
  19. previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  20. staffed_icu_pediatric_patients_confirmed_covid
  21. staffed_icu_pediatric_patients_confirmed_covid_coverage
  22. staffed_pediatric_icu_bed_occupancy
  23. staffed_pediatric_icu_bed_occupancy_coverage
  24. total_staffed_pediatric_icu_beds
  25. total_staffed_pediatric_icu_beds_coverage

    On January 19, 2022, the following fields have been added to this dataset:
  26. inpatient_beds_used_covid
  27. inpatient_beds_used_covid_coverage

    On September 17, 2021, this data set has had the following fields added:
  28. icu_patients_confirmed_influenza,
  29. icu_patients_confirmed_influenza_coverage,
  30. previous_day_admission_influenza_confirmed,
  31. previous_day_admission_influenza_confirmed_coverage,
  32. previous_day_deaths_covid_and_influenza,
  33. previous_day_deaths_covid_and_influenza_coverage,
  34. previous_day_deaths_influenza,
  35. previous_day_deaths_influenza_coverage,
  36. total_patients_hospitalized_confirmed_influenza,
  37. total_patients_hospitalized_confirmed_influenza_and_covid,
  38. total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  39. total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  40. on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  41. on_hand_supply_therapeutic_b_bamlanivimab_courses,
  42. on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  43. previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  44. previous_week_therapeutic_b_bamlanivimab_courses_used,
  45. previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

    On June 30, 2021, this data set has had the following fields added:
  46. deaths_covid
  47. deaths_covid_coverage

    On April 30, 2021, this data set has had the following fields added:
  48. previous_day_admission_adult_covid_confirmed_18-19
  49. previous_day_admission_adult_covid_confirmed_18-19_coverage
  50. previous_day_admission_adult_covid_confirmed_20-29_coverage
  51. previous_day_admission_adult_covid_confirmed_30-39
  52. previous_day_admission_adult_covid_confirmed_30-39_coverage
  53. previous_day_admission_adult_covid_confirmed_40-49
  54. previous_day_admission_adult_covid_confirmed_40-49_coverage
  55. previous_day_admission_adult_covid_confirmed_40-49_coverage
  56. previous_day_admission_adult_covid_confirmed_50-59
  57. previous_day_admission_adult_covid_confirmed_50-59_coverage
  58. previous_day_admission_adult_covid_confirmed_60-69
  59. previous_day_admission_adult_covid_confirmed_60-69_coverage
  60. previous_day_admission_adult_covid_confirmed_70-79
  61. previous_day_admission_adult_covid_confirmed_70-79_coverage
  62. previous_day_admission_adult_covid_confirmed_80+
  63. previous_day_admission_adult_covid_confirmed_80+_coverage
  64. previous_day_admission_adult_covid_confirmed_unknown
  65. previous_day_admission_adult_covid_confirmed_unknown_coverage
  66. previous_day_admission_adult_covid_suspected_18-19
  67. previous_day_admission_adult_covid_suspected_18-19_coverage
  68. previous_day_admission_adult_covid_suspected_20-29
  69. previous_day_admission_adult_covid_suspected_20-29_coverage
  70. previous_day_admission_adult_covid_suspected_30-39
  71. previous_day_admission_adult_covid_suspected_30-39_coverage
  72. previous_day_admission_adult_covid_suspected_40-49
  73. previous_day_admission_adult_covid_suspected_40-49_coverage
  74. previous_day_admission_adult_covid_suspected_50-59
  75. previous_day_admission_adult_covid_suspected_50-59_coverage
  76. previous_day_admission_adult_covid_suspected_60-69
  77. previous_day_admission_adult_covid_suspected_60-69_coverage
  78. previous_day_admission_adult_covid_suspected_70-79
  79. previous_day_admission_adult_covid_suspected_70-79_coverage
  80. previous_day_admission_adult_covid_suspected_80+
  81. previous_day_admission_adult_covid_suspected_80+_coverage
  82. previous_day_admission_adult_covid_suspected_unknown
  83. previous_day_admission_adult_covid_suspected_unknown_coverage

  • Number of hospitals in the United States 2014-2029

    • statista.com
    Updated Jul 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Number of hospitals in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of hospitals in the United States was forecast to continuously decrease between 2024 and 2029 by in total 13 hospitals (-0.23 percent). According to this forecast, in 2029, the number of hospitals will have decreased for the twelfth consecutive year to 5,548 hospitals. Depicted is the number of hospitals in the country or region at hand. As the OECD states, the rules according to which an institution can be registered as a hospital vary across countries.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospitals in countries like Canada and Mexico.

  • d

    Johns Hopkins COVID-19 Case Tracker

    • data.world
    csv, zip
    Updated Mar 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Associated Press (2025). Johns Hopkins COVID-19 Case Tracker [Dataset]. https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 22, 2020 - Mar 9, 2023
    Area covered
    Description

    Updates

    • Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

    • April 9, 2020

      • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.
    • April 20, 2020

      • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.
    • April 29, 2020

      • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.
    • September 1st, 2020

      • Johns Hopkins is now providing counts for the five New York City counties individually.
    • February 12, 2021

      • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
      • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.
    • February 16, 2021

      - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

      Overview

    The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

    The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

    This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

    The AP is updating this dataset hourly at 45 minutes past the hour.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Queries

    Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

    Interactive

    The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

    @(https://datawrapper.dwcdn.net/nRyaf/15/)

    Interactive Embed Code

    <iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>
    

    Caveats

    • This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
    • In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
    • In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
    • This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
    • Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
    • Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
    • The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

    Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

    Attribution

    This data should be credited to Johns Hopkins University COVID-19 tracking project

  • Number of all hospitals in the U.S. 1975-2022

    • statista.com
    Updated Jul 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Number of all hospitals in the U.S. 1975-2022 [Dataset]. https://www.statista.com/statistics/185843/number-of-all-hospitals-in-the-us/
    Explore at:
    Dataset updated
    Jul 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the number of all hospitals in the United States from 1975 to 2022. In 1975, there were 7,156 hospitals in the United States, whereas in 2022, there were only 6,120 hospitals.

    Hospitals in the United States

    Hospitals are healthcare institutions which provide treatment for patients and are one of the most important cornerstones of every modern healthcare system. In these facilities, specialized staff and equipment give the best possible care to patients. In the United States, most of the hospitals are non-profit facilities, while the rest are divided into for-profit or state/local government hospitals. Hospitals can be funded by several sources: the public sector, health organizations of all kinds, health insurance companies, charities, etc. Hospitals can often trace their roots back to religious orders or were founded by charitable individual sponsors.

    The number of hospitals in the U.S. has shown a steady decline since 1975. Hence, the number of hospital beds have also been decreasing, standing at 916,752 in 2022, a number that is significantly lower than the 1.5 million beds that were counted in 1975. In the United States, some 33.7 million hospital admissions were reported in 2022.

    It is a small wonder that hospital costs make up a large portion of total U.S. healthcare expenditure. Roughly one third of the total healthcare costs were attributed to U.S. hospital care.

  • O

    COVID-19 Tests, Cases, Hospitalizations, and Deaths (Statewide) - ARCHIVE

    • data.ct.gov
    • gimi9.com
    • +1more
    application/rdfxml +5
    Updated Jun 24, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Public Health (2022). COVID-19 Tests, Cases, Hospitalizations, and Deaths (Statewide) - ARCHIVE [Dataset]. https://data.ct.gov/Health-and-Human-Services/COVID-19-Tests-Cases-Hospitalizations-and-Deaths-S/rf3k-f8fg
    Explore at:
    tsv, application/rdfxml, xml, json, csv, application/rssxmlAvailable download formats
    Dataset updated
    Jun 24, 2022
    Dataset authored and provided by
    Department of Public Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve.

    The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj.

    The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 .

    The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 .

    The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed.

    COVID-19 tests, cases, and associated deaths that have been reported among Connecticut residents. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Hospitalization data were collected by the Connecticut Hospital Association and reflect the number of patients currently hospitalized with laboratory-confirmed COVID-19. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update.

    Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical examiner) using their best clinical judgment. Additionally, all COVID-19 deaths, including suspected or related, are required to be reported to OCME. On April 4, 2020, CT DPH and OCME released a joint memo to providers and facilities within Connecticut providing guidelines for certifying deaths due to COVID-19 that were consistent with the CDC’s guidelines and a reminder of the required reporting to OCME.25,26 As of July 1, 2021, OCME had reviewed every case reported and performed additional investigation on about one-third of reported deaths to better ascertain if COVID-19 did or did not cause or contribute to the death. Some of these investigations resulted in the OCME performing postmortem swabs for PCR testing on individuals whose deaths were suspected to be due to COVID-19, but antemortem diagnosis was unable to be made.31 The OCME issued or re-issued about 10% of COVID-19 death certificates and, when appropriate, removed COVID-19 from the death certificate. For standardization and tabulation of mortality statistics, written cause of death statements made by the certifiers on death certificates are sent to the National Center for Health Statistics (NCHS) at the CDC which assigns cause of death codes according to the International Causes of Disease 10th Revision (ICD-10) classification system.25,26 COVID-19 deaths in this report are defined as those for which the death certificate has an ICD-10 code of U07.1 as either a primary (underlying) or a contributing cause of death. More information on COVID-19 mortality can be found at the following link: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Mortality/Mortality-Statistics

    Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes.

    Starting in July 2020, this dataset will be updated every weekday.

    Additional notes: As of 11/5/2020, CT DPH has added antigen testing for SARS-CoV-2 to reported test counts in this dataset. The tests included in this dataset include both molecular and antigen datasets. Molecular tests reported include polymerase chain reaction (PCR) and nucleic acid amplicfication (NAAT) tests.

    A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020.

    A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports.

    Starting 5/10/2021, the date field will represent the date this data was updated on data.ct.gov. Previously the date the data was pulled by DPH was listed, which typically coincided with the date before the data was published on data.ct.gov. This change was made to standardize the COVID-19 data sets on data.ct.gov.

    Starting April 4, 2022, negative rapid antigen and rapid PCR test results for SARS-CoV-2 are no longer required to be reported to the Connecticut Department of Public Health as of April 4. Negative test results from laboratory based molecular (PCR/NAAT) results are still required to be reported as are all positive test results from both molecular (PCR/NAAT) and antigen tests.

    On 5/16/2022, 8,622 historical cases were included in the data. The date range for these cases were from August 2021 – April 2022.”

  • Number of hospital beds in the United States 2014-2029

    • statista.com
    Updated Jul 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Number of hospital beds in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of hospital beds in the United States was forecast to continuously increase between 2024 and 2029 by in total 16.6 thousand beds (+1.75 percent). After the fifteenth consecutive increasing year, the number of hospital beds is estimated to reach 967.9 thousand beds and therefore a new peak in 2029. Notably, the number of hospital beds of was continuously increasing over the past years.Depicted is the estimated total number of hospital beds in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospital beds in countries like Mexico and Canada.

  • Medical robotics market will Grow at a CAGR of 16.20% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2024). Medical robotics market will Grow at a CAGR of 16.20% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/medical-robotics-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 14, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global medical robotics market size is USD 6281.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 16.20% from 2024 to 2031.

    North America held the major market of more than 40% of the global revenue with a market size of USD 2512.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.4% from 2024 to 2031.
    Europe accounted for a share of over 30% of the global market size of USD 1884.36 million.
    Asia Pacific held the market of around 23% of the global revenue with a market size of USD 1444.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.2% from 2024 to 2031.
    Latin America market of more than 5% of the global revenue with a market size of USD 314.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.6% from 2024 to 2031.
    Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 125.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.9% from 2024 to 2031.
    The surgical robots held the highest medical robotics market revenue share in 2024.
    

    Market Dynamics of Medical Robotics Market

    Key Drivers of Medical Robotics Market

    Rising Adoption of Minimally Invasive Surgery (MIS) to Increase the Demand Globally
    

    The market for medical robotics is expanding at a substantial rate due to the growing inclination towards minimally invasive surgery (MIS). Surgery that uses a range of methods, such as the use of medical robots to operate with less bodily damage than open surgery, is referred to as minimally invasive surgery. The number of minimally invasive surgeries is growing as a result of patients' growing preference for these procedures because of their reduced risk of postoperative discomfort and complications, shorter hospital stays, quicker recovery periods, and other advantages.

    For instance, a study led by Johns Hopkins researchers and published in JAMA Surgery suggests that by substituting more minimally invasive procedures for open surgery when performing routine operations on the appendix, colon, and lungs, American hospitals could avoid thousands of post-surgical complications and save between $280 million and $340 million annually. In September 2023, 26.2 million minimally invasive and surgical procedures were performed in the United States, as reported by the American Society of Plastic Surgeons, a professional association for plastic surgeons based in the United States.

    (Source: https://www.hopkinsmedicine.org/news/media/releases/use_of_minimally_invasive_surgery_could_lower_health_care_costs_by_hundreds_of_millions_a_year#:~:text=Results%20of%20the%20research%2C%20conducted,minimally%20invasive%20procedures%20instead%20of)

    Rising Cases of Surgical Procedures to Propel Market Growth
    

    Globally, the number of procedures that are performed is increasing. The past twenty-five years have seen a rise in the prevalence of cardiovascular disorders. Cardiovascular and general procedures are becoming more common in the area due to the increase in cases of diabetes and changes in lifestyle. Two of the main causes of death worldwide are diabetes and cancer. A study conducted in 2021 by the American Cancer Society (ACS) found that approximately 1.9 million new instances of cancer were identified in the US. Additionally, some 252,000 weight loss procedures were carried out in the US in 2019, per a data released by the American Society for Metabolic and Bariatric Surgery. Robotic surgery instruments are becoming more and more necessary as surgical operations increase in number. Consequently, there is a growing need for medical robots because to the startlingly high frequency of chronic illnesses and the growing number of surgical procedures.

    Restraint Factors of Medical Robotics Market

    High Cost Associated with Medical Robots to Limit the Sales
    

    It is anticipated that high research and development costs, a lack of infrastructure, and the cost of robotically assisted treatments will limit market expansion. Furthermore, it is projected that the industry will face challenges as a result of limited adoption of technology, favorable reimbursement circumstances in developing nations, and high capital and maintenance costs associated with infrastructure in low- and middle-income nations. The cost of robotic surgery is highe...

  • ENT Devices Market Report by Product (Diagnostic Devices, Surgical Devices,...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IMARC Group, ENT Devices Market Report by Product (Diagnostic Devices, Surgical Devices, Hearing Aids, Hearing Implants, Laser, Image Guided Surgery Systems, Other Products), End-User (Hospitals, Clinics, ENT Centres, Ambulatory Surgical Centres), Region and Competitive Landscape (Market Share, Business Overview, Products Offered, Business Strategies, SWOT Analysis and Major News and Events) 2024-2032 [Dataset]. https://www.imarcgroup.com/ent-devices-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset provided by
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    ENT Devices Market Size:

    The global ENT devices market size reached US$ 21.4 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 35.2 Billion by 2032, exhibiting a growth rate (CAGR) of 5.5% during 2024-2032. The market is being driven by the rising prevalence of ENT disorders, improving healthcare coverage, and the integration of advanced technologies such as machine learning and artificial intelligence.

    Report Attribute
    Key Statistics
    Base Year
    2023
    Forecast Years
    2024-2032
    Historical Years
    2018-2023
    Market Size in 2023US$ 21.4 Billion
    Market Forecast in 2032US$ 35.2 Billion
    Market Growth Rate (2024-2032)5.5%


    ENT Devices Market Analysis:

    • Major Market Drivers: The market is being driven by the increasing prevalence of ENT disorders and diseases, along with population aging and favorable reimbursement scenarios in developed countries.
    • Key Market Trends: The growing demand for cosmetic ENT procedures, such as rhinoplasty and otoplasty, and the rapid adoption of artificial intelligence and robotics in various devices and procedures are among the key trends shaping the industry.
    • Geographical Trends: North America represents the leading regional market for ENT devices due to the presence of leading market players, high awareness among patients, favorable reimbursement policies, and the availability of minimally invasive treatment procedures.
    • Competitive Landscape: Some of the major market players in the ENT devices industry include Karl Storz GMBH, Medtronic, Stryker Corporation, Smith and Nephew, Olympus Corporation, Acclarent, Cochlear Limited, Hoya Corporation, American Hearing Systems, and Narang Medical Limited, among many others.
    • Challenges and Opportunities: High costs of certain equipment and ENT procedures represent the key challenges faced by the market. On the other hand, the high demand for cosmetic ENT procedures, along with the rising adoption of 3D printing and artificial intelligence, presents opportunities for growth.


    ENT Devices Market Drivers:

    Increasing Prevalence of ENT Disorders and Disease

    The global ENT devices market is driven by the rise in the prevalence of ear, nose, and throat (ENT) ailments globally. The prevalence of these conditions is mostly driven by the increase in the population size and the deficit of appropriately trained ENT healthcare providers, especially in low-to mid-income economies. As per Quak et al.’s observational study in JAMA Otolaryngology–Head & Neck Surgery, the extrapolated average density was about 2 ENT practitioners for 100,000 individuals. This becomes a concern when comparing the high-income countries with low- or middle-income countries, where Europe has about 5.7 ENT practitioners for the same population ratio, while Africa and South Asia have 0.2 to 1.1 ENT practitioners. This disparity has been one of the prime focal points of healthcare organizations worldwide, calling for immediate attention by enhancing training and equipment in ENT healthcare facilities, especially in underserved regions. As countries worldwide improve access to healthcare services, it is projected to increase the demand for ENT devices.

    Growing Aging Population

    Elderly individuals are at a higher risk of developing otorhinolaryngology-related issues, which impact their overall physical and mental health. The population of individuals aged above 65 years was 771 million in 2022, representing 10% of the world's population. This segment of the population has been witnessing significant growth with advancements in healthcare and improvements in living standards. For instance, several studies have highlighted the impact of aging on hearing loss, which is one of the leading concerns among ENT-related issues. The structures inside the ear change with age, leading to a decline in their function. This hearing loss, called presbycusis, can lead to changes in the brain, impacting the brain volume, memory, and neural functioning, which, in turn, can increase the risk of neurodegenerative conditions like dementia and Alzheimer’s disease. A study published in 2022 in the Journal of Alzheimer’s Disease Reports showed that impaired auditory function can be used as a marker of cognitive impairment. Additionally, certain ENT conditions, if left untreated, can increase the risk of other health problems, such as heart disease and stroke. As the understanding of the link between aging and ENT diseases increases, the demand for ENT devices is projected to grow to offer proactive care and early intervention to maintain optimal health outcomes as individuals grow older.

    Favorable Reimbursement Scenario in Developed Countries

    Health insurance and reimbursement play a crucial role in providing financial assistance for ENT treatments, including surgeries, medications, and hospitalization. In developed regions, such as North America and Europe, the treatment for various ENT diseases is covered under health insurance policies. In the United States, daycare procedures for ENT-related issues are generally covered by insurance providers. This facility allows patients to receive care without incurring a significant economic burden. As the awareness regarding favorable reimbursement scenarios increases, the demand for ENT devices is projected to rise to cater to the increasing number of patients. Furthermore, the market growth is projected to increase as more countries worldwide push for wider healthcare coverage. For instance, less than 20% of the population in India currently has healthcare coverage. The Government of India has introduced the “National Health Protection Mission,” which will target around 10 crore poor and vulnerable families and provide a defined benefit cover of INR 5,00,000 (5 Lakh) per family per year.

    ENT Devices Market Opportunities:

    High Demand for Cosmetic ENT Procedures

    The demand for cosmetic ENT surgeries and rejuvenation procedures has witnessed an increase in recent years, in turn driving the demand for ENT devices such as dissectors, speculums, and laryngoscopes. The growing awareness of physical appearance among individuals represents one of the key factors driving the demand for procedures such as rhinoplasty and otoplasty. The rising openness and transparency among individuals on social media platforms regarding their plastic surgery journey has further increased interest in these procedures. According to the American Society of Plastic Surgeons (ASPS), 26.2 million cosmetic and reconstructive surgical and minimally invasive procedures were performed in the United States in 2022, representing a 19% increase from 2019. ENT surgeons are also increasingly providing botulinum toxins (Botox) and soft tissue fillers for restoring defects among head and neck cancer patients. Furthermore, Botox is being used in the treatment of facial synkinesis and spasmodic dysphonia.

    Growing Healthcare Sector in Emerging Markets

    Currently, the healthcare spending levels in emerging markets are significantly lower than those of developed countries. For example, healthcare spending in the United States and Europe is between 12-19% of the GDP. In contrast, only 3-5% of the GDP is spent on healthcare in Southeast Asia and India. However, governments in emerging regions are increasingly investing in expanding the healthcare sector. As per a recent study, healthcare spending in the BRICS countries is projected to increase to up to 10% of the GDP by 2030. Furthermore, the growth of the pharmaceutical industry in developing economies is projected to outpace the growth in established markets. These regions are also witnessing the rising penetration of private healthcare institutions, which provide greater access to high-quality healthcare services, thereby complementing public sector offerings.

    Key Technological Trends & Development:

    3D Printing

    <p

  • Number of available hospital beds per 1,000 people in the United States...

    • statista.com
    Updated Jul 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Number of available hospital beds per 1,000 people in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total 0.1 beds (-3.7 percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach 2.63 beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Canada and Mexico.

  • E

    Endocavitary Ultrasound Transducer Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Endocavitary Ultrasound Transducer Report [Dataset]. https://www.marketreportanalytics.com/reports/endocavitary-ultrasound-transducer-23353
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global endocavitary ultrasound transducer market is experiencing robust growth, driven by the increasing prevalence of minimally invasive surgical procedures, rising demand for improved diagnostic accuracy, and technological advancements in transducer design. The market is segmented by application (hospital, clinic, others) and by maximum probe frequency (less than 10 MHz, 10-20 MHz, more than 20 MHz). Hospitals currently dominate the application segment due to their higher procedure volumes and advanced infrastructure. However, the clinic segment is expected to witness significant growth fueled by increasing accessibility to point-of-care ultrasound and growing adoption of smaller, more portable devices. Higher frequency transducers are gaining traction due to their enhanced resolution capabilities, enabling more precise imaging for various applications, including gynecology, urology, and gastroenterology. While technological advancements and increasing demand are key drivers, the market faces restraints such as high initial investment costs for advanced transducers and a need for skilled professionals to operate and interpret the imaging data. The competitive landscape is characterized by both established players like Esaote, Sonosite, and BK Ultrasound, and emerging companies focusing on innovation and cost-effective solutions. Geographic expansion is expected across all regions, with North America and Europe maintaining significant market share due to established healthcare infrastructure and high adoption rates, while Asia-Pacific is anticipated to demonstrate substantial growth in the forecast period driven by increasing healthcare spending and rising awareness. The forecast period (2025-2033) projects continued expansion, with a projected Compound Annual Growth Rate (CAGR) of approximately 8% (a reasonable estimate given the overall growth in the medical device sector and the specific trends mentioned above). This growth will be driven by factors such as the increasing adoption of minimally invasive surgeries, advancements in transducer technology leading to improved image quality and reduced procedure time, and rising demand for point-of-care ultrasound in various healthcare settings. The market is likely to witness further segmentation with the emergence of specialized transducers designed for specific clinical applications and patient demographics. Technological innovations, such as the integration of AI and machine learning algorithms, will contribute to more accurate and efficient diagnosis. Despite the positive outlook, pricing pressures and regulatory hurdles will continue to pose challenges to market growth.

  • Hospital staff turnover rate in the U.S. 2016-2023

    • statista.com
    Updated Jul 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hospital staff turnover rate in the U.S. 2016-2023 [Dataset]. https://www.statista.com/statistics/1251378/staff-turnover-rate-of-hospitals-in-the-united-states/
    Explore at:
    Dataset updated
    Jul 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average staff turnover rate of hospitals in the U.S. stood at 20.7 percent. The percentage of employees leaving hospitals has decreased since 2021, yet it is still 2.9 percent higher than 2019. A closer look at turnover reveals that most was among less tenured staff, with the highest rates among certified nursing assistants.

  • w

    Global Surgical Aspirators Market Research Report: By Product Type (Electric...

    • wiseguyreports.com
    Updated Aug 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    wWiseguy Research Consultants Pvt Ltd (2024). Global Surgical Aspirators Market Research Report: By Product Type (Electric Suction Pumps, Manual Suction Pumps, Powered Suction Pumps), By Application (General Surgery, Orthopedic Surgery, Urology, Gynecology, Others), By End User (Hospitals, Clinics, Ambulatory Surgical Centers, Others), By Power Source (Electric, Battery, Pneumatic), By Suction Capacity (Below 20 LPM, 20-40 LPM, Above 40 LPM) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/fr/reports/surgical-aspirators-market
    Explore at:
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202321.0(USD Billion)
    MARKET SIZE 202422.05(USD Billion)
    MARKET SIZE 203232.5(USD Billion)
    SEGMENTS COVEREDProduct Type ,Application ,End User ,Power Source ,Suction Capacity ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing Prevalence of Chronic Diseases Technological Advancements Rising Demand for Minimally Invasive Surgeries Expanding Healthcare Infrastructure Growing Geriatric Population
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDTerumo Medical Corporation ,Karl Storz SE & Co. KG ,Alcon Laboratories, Inc. ,Stryker ,Arthrex ,B. Braun Melsungen AG ,Olympus Corporation ,Pentax Medical ,Boston Scientific Corporation ,Johnson & Johnson ,Conmed Corporation ,Smith & Nephew ,Medtronic ,Zimmer Biomet ,Welch Allyn
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESGrowing demand for minimally invasive surgeries Advancements in technology leading to more efficient and precise devices Increasing prevalence of chronic diseases and surgical procedures Government initiatives and support for healthcare infrastructure development Rising disposable income in emerging markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 4.97% (2025 - 2032)
  • Leading multihospital systems by number of FTE per occupied bed 2014

    • statista.com
    Updated Apr 1, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2016). Leading multihospital systems by number of FTE per occupied bed 2014 [Dataset]. https://www.statista.com/statistics/325290/top-multihospital-systems-by-number-of-ftes-per-occupied-bed/
    Explore at:
    Dataset updated
    Apr 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United States
    Description

    This statistic displays the top 20 multihospital system hospitals in the United States, ranked by number of full-time equivalents (FTE) per occupied bed in 2014. In that year, there was an average of 9.4 FTEs per occupied bed at Dignity Health in San Francisco, California.

  • State of AI/machine learning in hospitals in the U.S. in 2021

    • statista.com
    Updated Sep 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). State of AI/machine learning in hospitals in the U.S. in 2021 [Dataset]. https://www.statista.com/statistics/1249788/ai-machine-learning-in-hospitals-in-the-us/
    Explore at:
    Dataset updated
    Sep 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2021 - Apr 2021
    Area covered
    United States
    Description

    According to a survey conducted among healthcare providers in the United States in April 2021, 24 percent of respondents reported that in their hospital or health systems artificial intelligence (AI)/machine learning efforts were in the pilot stage and the rollout was to be decided, while a further 22 percent said that it is in the early stage initiatives.

  • Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Largest hospitals in the world as of 2022, by number of beds [Dataset]. https://www.statista.com/statistics/1461825/largest-hospitals-worldwide-by-number-of-beds/
    Organization logo

    Largest hospitals in the world as of 2022, by number of beds

    Explore at:
    Dataset updated
    Apr 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    World
    Description

    As of 2022, the largest hospital in the world was found in Henan, China. With seven thousand beds, First Affiliated Hospital of Zhengzhou University was ranked as the largest hospital globally according to its number of beds. The second largest hospital was also found in China. No U.S. hospital made the world top 20 list, although AdventHealth Orlando was close, being the largest hospital in the United States.

    Search
    Clear search
    Close search
    Google apps
    Main menu