100+ datasets found
  1. E

    Minimum Hospital Data Set

    • healthinformationportal.eu
    html
    Updated Mar 4, 2022
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    Federal Public Service (FPS) Health, Food Chain Safety, and Environment (2022). Minimum Hospital Data Set [Dataset]. https://www.healthinformationportal.eu/health-information-sources/minimum-hospital-data-set
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 4, 2022
    Dataset authored and provided by
    Federal Public Service (FPS) Health, Food Chain Safety, and Environment
    License

    https://fair.healthdata.be/dataset/12d69eca-4449-47d2-943d-e4448a467292https://fair.healthdata.be/dataset/12d69eca-4449-47d2-943d-e4448a467292

    Variables measured
    sex, title, topics, acronym, country, language, data_owners, description, contact_name, geo_coverage, and 14 more
    Measurement technique
    Hospital resources & Healthcare administrative area resources
    Description

    The MZG is a registration with which all non-psychiatric hospitals in Belgium must make their (anonymised) administrative, medical and nursing data available to the Federal Public Service (FPS) Public Health. The aim of the MZG is to support the government's health policy by

    • Determining the needs for hospital facilities;
    • Describing the qualitative and quantitative accreditation standards of hospitals and their services;
    • Organising the financing of hospitals;
    • Determining policy for the practice of medicine;
    • To outline epidemiological policy.

    The MZG aims also to support the health policy of hospitals by providing national and individual feedback so that a hospital can compare itself with other hospitals and adapt its internal policy.

    All reports can be found here (in French/Dutch).

  2. Hospital Administration Data

    • kaggle.com
    Updated Mar 6, 2024
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    Shiva Vashishtha (2024). Hospital Administration Data [Dataset]. https://www.kaggle.com/datasets/shivavashishtha/hospital-administration-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shiva Vashishtha
    Description

    Dataset

    This dataset was created by Shiva Vashishtha

    Contents

  3. Hospital Management Dataset

    • kaggle.com
    Updated May 30, 2025
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    Kanak Baghel (2025). Hospital Management Dataset [Dataset]. https://www.kaggle.com/datasets/kanakbaghel/hospital-management-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 30, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kanak Baghel
    License

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

    Description

    This is a structured, multi-table dataset designed to simulate a hospital management system. It is ideal for practicing data analysis, SQL, machine learning, and healthcare analytics.

    Dataset Overview

    This dataset includes five CSV files:

    1. patients.csv – Patient demographics, contact details, registration info, and insurance data

    2. doctors.csv – Doctor profiles with specializations, experience, and contact information

    3. appointments.csv – Appointment dates, times, visit reasons, and statuses

    4. treatments.csv – Treatment types, descriptions, dates, and associated costs

    5. billing.csv – Billing amounts, payment methods, and status linked to treatments

    📁 Files & Column Descriptions

    ** patients.csv**

    Contains patient demographic and registration details.

    Column Description

    patient_id -> Unique ID for each patient first_name -> Patient's first name last_name -> Patient's last name gender -> Gender (M/F) date_of_birth -> Date of birth contact_number -> Phone number address -> Address of the patient registration_date -> Date of first registration at the hospital insurance_provider -> Insurance company name insurance_number -> Policy number email -> Email address

    ** doctors.csv**

    Details about the doctors working in the hospital.

    Column Description

    doctor_id -> Unique ID for each doctor first_name -> Doctor's first name last_name -> Doctor's last name specialization -> Medical field of expertise phone_number -> Contact number years_experience -> Total years of experience hospital_branch -> Branch of hospital where doctor is based email -> Official email address

    appointments.csv

    Records of scheduled and completed patient appointments.

    Column Description

    appointment_id -> Unique appointment ID patient_id -> ID of the patient doctor_id -> ID of the attending doctor appointment_date -> Date of the appointment appointment_time -> Time of the appointment reason_for_visit -> Purpose of visit (e.g., checkup) status -> Status (Scheduled, Completed, Cancelled)

    treatments.csv

    Information about the treatments given during appointments.

    Column Description

    treatment_id -> Unique ID for each treatment appointment_id -> Associated appointment ID treatment_type -> Type of treatment (e.g., MRI, X-ray) description -> Notes or procedure details cost -> Cost of treatment treatment_date -> Date when treatment was given

    ** billing.csv**

    Billing and payment details for treatments.

    Column Description

    bill_id -> Unique billing ID patient_id -> ID of the billed patient treatment_id -> ID of the related treatment bill_date -> Date of billing amount -> Total amount billed payment_method -> Mode of payment (Cash, Card, Insurance) payment_status -> Status of payment (Paid, Pending, Failed)

    Possible Use Cases

    SQL queries and relational database design

    Exploratory data analysis (EDA) and dashboarding

    Machine learning projects (e.g., cost prediction, no-show analysis)

    Feature engineering and data cleaning practice

    End-to-end healthcare analytics workflows

    Recommended Tools & Resources

    SQL (joins, filters, window functions)

    Pandas and Matplotlib/Seaborn for EDA

    Scikit-learn for ML models

    Pandas Profiling for automated EDA

    Plotly for interactive visualizations

    Please Note that :

    All data is synthetically generated for educational and project use. No real patient information is included.

    If you find this dataset helpful, consider upvoting or sharing your insights by creating a Kaggle notebook.

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

    • healthdata.gov
    • datahub.hhs.gov
    • +2more
    Updated May 3, 2024
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    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:

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

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

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

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

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

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

  • d

    COVID-19 Hospital Capacity Metrics - Historical

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Dec 2, 2023
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    data.cityofchicago.org (2023). COVID-19 Hospital Capacity Metrics - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-capacity-metrics
    Explore at:
    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset is historical-only as of 5/10/2023. All data currently in the dataset will remain, but new data will not be added. The recommended alternative dataset for similar data beyond that date is  https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u. (This is not a City of Chicago site. Please direct any questions or comments through the contact information on the site.) During the COVID-19 pandemic, the Chicago Department of Public Health (CDPH) required EMS Region XI (Chicago area) hospitals to report hospital capacity and patient impact metrics related to COVID-19 to CDPH through the statewide EMResource system. This requirement has been lifted as of May 9, 2023, in alignment with the expiration of the national and statewide COVID-19 public health emergency declarations on May 11, 2023. However, all hospitals will still be required by the U.S. Department of Health and Human Services (HHS) to report COVID-19 hospital capacity and utilization metrics into the HHS Protect system through the CDC’s National Healthcare Safety Network until April 30, 2024. Facility-level data from the HHS Protect system can be found at healthdata.gov. Until May 9, 2023, all Chicago (EMS Region XI) hospitals (n=28) were required to report bed and ventilator capacity, availability, and occupancy to the Chicago Department of Public Health (CDPH) daily. A list of reporting hospitals is included below. All data represent hospital status as of 11:59 pm for that calendar day. Counts include Chicago residents and non-residents. ICU bed counts include both adult and pediatric ICU beds. Neonatal ICU beds are not included. Capacity refers to all staffed adult and pediatric ICU beds. Availability refers to all available/vacant adult and pediatric ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in ICU on 03/19/2020. Hospitals began reporting ICU surge capacity as part of total capacity on 5/18/2020. Acute non-ICU bed counts include burn unit, emergency department, medical/surgery (ward), other, pediatrics (pediatric ward) and psychiatry beds. Burn beds include those approved by the American Burn Association or self-designated. Capacity refers to all staffed acute non-ICU beds. An additional 500 acute/non-ICU beds were added at the McCormick Place Treatment Facility on 4/15/2020. These beds are not included in the total capacity count. The McCormick Place Treatment Facility closed on 05/08/2020. Availability refers to all available/vacant acute non-ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in acute non-ICU beds on 04/03/2020. Ventilator counts prior to 04/24/2020 include all full-functioning mechanical ventilators, with ventilators with bilevel positive airway pressure (BiPAP), anesthesia machines, and portable/transport ventilators counted as surge. Beginning 04/24/2020, ventilator counts include all full-functioning mechanical ventilators, BiPAP, anesthesia machines and portable/transport ventilators. Ventilators are counted regardless of ability to staff. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases on ventilators on 03/19/2020. CDPH has access to additional ventilators from the EAMC (Emergency Asset Management Center) cache. These ventilators are included in the total capacity count. Chicago (EMS Region 11) hospitals: Advocate Illinois Masonic Medical Center, Advocate Trinity Hospital, AMITA Resurrection Medical Center Chicago, AMITA Saint Joseph Hospital Chicago, AMITA Saints Mary & Elizabeth Medical Center, Ann & Robert H Lurie Children's Hospital, Comer Children's Hospital, Community First Medical Center, Holy Cross Hospital, Jackson Park Hospital & Medical Center, John H. Stroger Jr. Hospital of Cook County, Loretto Hospital, Mercy Hospital and Medical Center, , Mount Sinai Hospital, Northwestern Memorial Hospital, Norwegian American Hospital, Roseland Community Hospital, Rush University M

  • Hospital Building Data

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, zip
    Updated Jun 30, 2025
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    Department of Health Care Access and Information (2025). Hospital Building Data [Dataset]. https://data.chhs.ca.gov/dataset/hospital-building-data
    Explore at:
    csv(2534), zip, csv(1470374)Available download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    Provides basic information for general acute care hospital buildings such as height, number of stories, the building code used to design the building, and the year it was completed. The data is sorted by counties and cities. Structural Performance Categories (SPC ratings) are also provided. SPC ratings range from 1 to 5 with SPC 1 assigned to buildings that may be at risk of collapse during a strong earthquake and SPC 5 assigned to buildings reasonably capable of providing services to the public following a strong earthquake. Where SPC ratings have not been confirmed by the Department of Health Care Access and Information (HCAI) yet, the rating index is followed by 's'. A URL for the building webpage in HCAI/OSHPD eServices Portal is also provided to view projects related to any building.

  • Hospitals

    • hub.arcgis.com
    • data.amerigeoss.org
    • +5more
    Updated Jun 30, 2024
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    GeoPlatform ArcGIS Online (2024). Hospitals [Dataset]. https://hub.arcgis.com/maps/9e318142490c4884bf74932af437c6c2
    Explore at:
    Dataset updated
    Jun 30, 2024
    Dataset provided by
    https://arcgis.com/
    Authors
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This feature class/shapefile contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities.

  • Hospital All Owners

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Jun 17, 2025
    + more versions
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    Centers for Medicare & Medicaid Services (2025). Hospital All Owners [Dataset]. https://catalog.data.gov/dataset/hospital-all-owners
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Hospital All Owners Information dataset provides information on all owners of the hospitals. This data includes ownership information such as ownership name, ownership type, ownership address and ownership effective date.

  • Hospital General Information

    • console.cloud.google.com
    Updated Nov 7, 2017
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    https://console.cloud.google.com/marketplace/browse?filter=partner:U.S.%20Department%20of%20Health%20%26%20Human%20Services&inv=1&invt=Ab2mew (2017). Hospital General Information [Dataset]. https://console.cloud.google.com/marketplace/product/hhs/hospital-general-information
    Explore at:
    Dataset updated
    Nov 7, 2017
    Dataset provided by
    Googlehttp://google.com/
    Description

    This data table contains a list of all hospitals that have been registered with Medicare. This list includes addresses, phone numbers, hospital types and quality of care information. The quality of care data is provided for over 4,000 Medicare-certified hospitals, including over 130 Veterans Administration (VA) medical centers, across the country. You can use this data to find hospitals and compare the quality of their care. This data was created through the efforts of the Centers for Medicare & Medicaid Services (CMS) in collaboration with organizations representing consumers, hospitals, doctors, employers, accrediting organizations, and other federal agencies. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  • T

    HOSPITAL BEDS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 24, 2020
    + more versions
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    TRADING ECONOMICS (2020). HOSPITAL BEDS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/hospital-beds
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 24, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for HOSPITAL BEDS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  • COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Jul 4, 2025
    + more versions
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    U.S. Department of Health and Human Services (2025). COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW [Dataset]. https://catalog.data.gov/dataset/covid-19-reported-patient-impact-and-hospital-capacity-by-facility-raw
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    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 facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities. The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities. For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020. Reported elements include an append of either “_coverage”, “_sum”, or “_avg”. A “_coverage” append denotes how many times the facility reported that element during that collection week. A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week. A “_avg” append is the average of the reports provided for that facility for that element during that collection week. The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”. A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020. Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect. For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied. For recent updates to the dataset, scroll to the bottom of the dataset description. On May 3, 2021, the following fields have been added to this data set. hhs_ids previous_day_admission_adult_covid_confirmed_7_day_coverage previous_day_admission_pediatric_covid_confirmed_7_day_coverage previous_day_admission_adult_covid_suspected_7_day_coverage previous_day_admission_pediatric_covid_suspected_7_day_coverage previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum total_personnel_covid_vaccinated_doses_none_7_day_sum total_personnel_covid_vaccinated_doses_one_7_day_sum total_personnel_covid_vaccinated_doses_all_7_day_sum previous_week_patients_covid_vaccinated_doses_one_7_day_sum previous_week_patients_covid_vaccinated_doses_all_

  • Number of hospital employees in the U.S. 2000-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 18, 2024
    + more versions
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    Statista Research Department (2024). Number of hospital employees in the U.S. 2000-2023 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2023, there were over 7.4 million people employed in hospitals across the United States. This is the highest number in the recorded time period and hospital employment numbers have returned to and surpassed pre-pandemic levels.

  • COVID-19 Hospital Data Coverage for Hospital in Suspense

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jul 4, 2025
    + more versions
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    U.S. Department of Health and Human Services (2025). COVID-19 Hospital Data Coverage for Hospital in Suspense [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-data-coverage-for-hospital-in-suspense
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    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. This report shows facilities currently in suspense regarding CoP requirements due to being in a work plan or other related reasons is shown if any facilities are currently in suspense. These CCNs will not be included in the tab listing all other hospitals or included in any summary counts while in suspense. 01/05/2024 – As of FAQ 6, the following optional fields have been added to this report: total_adult_patients_hospitalized_confirmed_influenza total_pediatric_patients_hospitalized_confirmed_influenza previous_day_admission_adult_influenza_confirmed previous_day_admission_pediatric_influenza_confirmed staffed_icu_adult_patients_confirmed_influenza staffed_icu_pediatric_patients_confirmed_influenza total_adult_patients_hospitalized_confirmed_rsv total_pediatric_patients_hospitalized_confirmed_rsv previous_day_admission_adult_rsv_confirmed previous_day_admission_pediatric_rsv_confirmed staffed_icu_adult_patients_confirmed_rsv staffed_icu_pediatric_patients_confirmed_rsv 6/17/2023 - With the new 28-day compliance reporting period, CoP reports will be posted every 4 weeks. 9/12/2021 - To view other COVID-19 Hospital Data Coverage datasets, follow this link to view summary page: https://healthdata.gov/stories/s/ws49-ddj5 As of FAQ3, the following field are federally inactive and will no longer be included in this report: previous_week_personnel_covid_vaccinated_doses_administered total_personnel_covid_vaccinated_doses_none total_personnel_covid_vaccinated_doses_one total_personnel_covid_vaccinated_doses_all total_personnel previous_week_patients_covid_vaccinated_doses_one previous_week_patients_covid_vaccinated_doses_all

  • COVID-19 Hospital Data (ARCHIVED)

    • catalog.data.gov
    • data.chhs.ca.gov
    • +3more
    Updated Nov 27, 2024
    + more versions
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    California Department of Public Health (2024). COVID-19 Hospital Data (ARCHIVED) [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-data-21ccf
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Data is from the California COVID-19 State Dashboard at https://covid19.ca.gov/state-dashboard/ Note: Hospitalization counts include all patients diagnosed with COVID-19 during their stay. This does not necessarily mean they were hospitalized because of COVID-19 complications or that they experienced COVID-19 symptoms. Note: Cumulative totals are not available due to the fact that hospitals report the total number of patients each day (as opposed to new patients).

  • V

    American Hospital Directory Free National and State Statistics

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). American Hospital Directory Free National and State Statistics [Dataset]. https://data.virginia.gov/dataset/american-hospital-directory-free-national-and-state-statistics
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    From the Web site: The American Hospital Directory® provides data, statistics, and analytics about more than 7,000 hospitals nationwide. AHD.com® hospital information includes both public and private sources such as Medicare claims data, hospital cost reports, and commercial licensors. AHD® is not affiliated with the American Hospital Association (AHA) and is not a source for AHA Data. Our data are evidence-based and derived from the most definitive sources.

  • COVID-19 Reported Patient Impact and Hospital Capacity by Facility

    • data.ct.gov
    • healthdata.gov
    • +5more
    Updated Jul 1, 2025
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    U.S. Department of Health & Human Services (2025). COVID-19 Reported Patient Impact and Hospital Capacity by Facility [Dataset]. https://data.ct.gov/Health-and-Human-Services/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/vvtn-9xef
    Explore at:
    xml, application/rdfxml, csv, tsv, application/rssxml, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Jul 1, 2025
    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

    The "COVID-19 Reported Patient Impact and Hospital Capacity by Facility" dataset from the U.S. Department of Health & Human Services, filtered for Connecticut. View the full dataset and detailed metadata here: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Friday to Thursday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

    The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

    For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-20 means the average/sum/coverage of the elements captured from that given facility starting and including Friday, November 20, 2020, and ending and including reports for Thursday, November 26, 2020.

    Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

    A “_coverage” append denotes how many times the facility reported that element during that collection week.

    A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.

    A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

    The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

    This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

    Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

    For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

    On May 3, 2021, the following fields have been added to this data set. hhs_ids previous_day_admission_adult_covid_confirmed_7_day_coverage previous_day_admission_pediatric_covid_confirmed_7_day_coverage previous_day_admission_adult_covid_suspected_7_day_coverage previous_day_admission_pediatric_covid_suspected_7_day_coverage previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum total_personnel_covid_vaccinated_doses_none_7_day_sum total_personnel_covid_vaccinated_doses_one_7_day_sum total_personnel_covid_vaccinated_doses_all_7_day_sum previous_week_patients_covid_vaccinated_doses_one_7_day_sum previous_week_patients_covid_vaccinated_doses_all_7_day_sum

    On May 8, 2021, this data set has been converted to a corrected data set. The corrections applied to this data set are to smooth out data anomalies caused by keyed in data errors. To help determine which records have had corrections made to it. An additional Boolean field called is_corrected has been added. To see the numbers as reported by the facilities, go to: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb

    On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.

    On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday collected fields only. This reflects that these fields are only reported on Wednesdays in a given week.

    On 9/20/2021, the following has been updated: The use of analytic dataset as a source.

  • h

    A granular assessment of the day-to-day variation in emergency presentations...

    • healthdatagateway.org
    unknown
    Updated Mar 13, 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). A granular assessment of the day-to-day variation in emergency presentations [Dataset]. https://healthdatagateway.org/en/dataset/175
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Mar 13, 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

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

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

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

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

    Electronic Health Record: University Hospital Birmingham is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

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

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

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

  • E

    Hospital Billing Data

    • healthinformationportal.eu
    html
    Updated Mar 2, 2022
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    Federal Public Service (FPS) Social Security (2022). Hospital Billing Data [Dataset]. https://www.healthinformationportal.eu/health-information-sources/hospital-billing-data
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 2, 2022
    Dataset authored and provided by
    Federal Public Service (FPS) Social Security
    License

    https://socialsecurity.belgium.be/fr/chiffres-de-la-protection-sociale/statistiques-de-la-protection-sociale/comptes-de-la-santehttps://socialsecurity.belgium.be/fr/chiffres-de-la-protection-sociale/statistiques-de-la-protection-sociale/comptes-de-la-sante

    Variables measured
    sex, title, topics, acronym, country, language, data_owners, description, contact_name, geo_coverage, and 11 more
    Measurement technique
    Hospital resources & Healthcare administrative area resources
    Description

    The System of Health Accounts (SHA) establishes a methodological framework within which countries can produce internationally comparable estimates of their population's consumption of goods and services for health and long-term care. The compilation of these 'Health Accounts' is mandatory for the Member States of the European Union. The standardised framework allows making comparisons on how these services are provided, for what purpose and who bears part of the financing burden.

  • United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries –...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED [Dataset]. https://data.virginia.gov/dataset/united-states-covid-19-hospitalization-metrics-by-jurisdiction-timeseries-archived
    Explore at:
    rdf, xsl, json, csvAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Note: After May 3, 2024, this dataset 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. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    This dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information:

    • As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
    • While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
    • Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
    • Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
    • Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Metric details:

    • Time Period: timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
    • New COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with laborat

  • O

    Hospitals

    • data.montgomerycountymd.gov
    • cloud.csiss.gmu.edu
    • +3more
    Updated Sep 14, 2012
    + more versions
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    Montgomery County, MD (2012). Hospitals [Dataset]. https://data.montgomerycountymd.gov/Health-and-Human-Services/Hospitals/677d-kzp6
    Explore at:
    xml, csv, tsv, application/rdfxml, application/rssxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Sep 14, 2012
    Dataset authored and provided by
    Montgomery County, MD
    Description

    Address and Locations for Hospitals in Montgomery County, MD and the immediate vicinity.

  • Share
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    Federal Public Service (FPS) Health, Food Chain Safety, and Environment (2022). Minimum Hospital Data Set [Dataset]. https://www.healthinformationportal.eu/health-information-sources/minimum-hospital-data-set

    Minimum Hospital Data Set

    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 4, 2022
    Dataset authored and provided by
    Federal Public Service (FPS) Health, Food Chain Safety, and Environment
    License

    https://fair.healthdata.be/dataset/12d69eca-4449-47d2-943d-e4448a467292https://fair.healthdata.be/dataset/12d69eca-4449-47d2-943d-e4448a467292

    Variables measured
    sex, title, topics, acronym, country, language, data_owners, description, contact_name, geo_coverage, and 14 more
    Measurement technique
    Hospital resources & Healthcare administrative area resources
    Description

    The MZG is a registration with which all non-psychiatric hospitals in Belgium must make their (anonymised) administrative, medical and nursing data available to the Federal Public Service (FPS) Public Health. The aim of the MZG is to support the government's health policy by

    • Determining the needs for hospital facilities;
    • Describing the qualitative and quantitative accreditation standards of hospitals and their services;
    • Organising the financing of hospitals;
    • Determining policy for the practice of medicine;
    • To outline epidemiological policy.

    The MZG aims also to support the health policy of hospitals by providing national and individual feedback so that a hospital can compare itself with other hospitals and adapt its internal policy.

    All reports can be found here (in French/Dutch).

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