85 datasets found
  1. 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_

  2. COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW)

    • healthdata.gov
    • datahub.hhs.gov
    • +2more
    Updated Dec 14, 2020
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    U.S. Department of Health & Human Services (2020). COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW) [Dataset]. https://healthdata.gov/dataset/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/6xf2-c3ie
    Explore at:
    xml, csv, application/rssxml, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Dec 14, 2020
    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. 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 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 June 26, 2023 the field "reporting_cutoff_start" was replaced by the field "date".

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

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

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

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

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

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

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

  • 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.

  • CarePrecise Authoritative Hospital Database (AHD)

    • datarade.ai
    .csv, .xls
    Updated Aug 27, 2021
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    CarePrecise (2021). CarePrecise Authoritative Hospital Database (AHD) [Dataset]. https://datarade.ai/data-products/careprecise-authoritative-hospital-database-ahd-careprecise
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Aug 27, 2021
    Dataset authored and provided by
    CarePrecise
    Area covered
    United States of America
    Description

    [IMPORTANT NOTE: Sample file posted on Datarade is not the complete dataset, as Datarade permits only a single CSV file. Visit https://www.careprecise.com/healthcare-provider-data-sample.htm for more complete samples.] Updated every month, CarePrecise developed the AHD to provide a comprehensive database of U.S. hospital information. Extracted from the CarePrecise master provider database with information all of the 6.3 million HIPAA-covered US healthcare providers and additional sources, the Authoritative Hospital Database (AHD) contains records for all HIPAA-covered hospitals. In this database of hospitals we include bed counts, patient satisfaction data, hospital system ownership, hospital charges and cases by Zip Code®, and more. Most records include a cabinet-level or director-level contact. A PlaceKey is provided where available.

    The AHD includes bed counts for 95% of hospitals, full contact information on 85%, and fax numbers for 62%. We include detailed patient satisfaction data, employee counts, and medical procedure volumes.

    The AHD integrates directly with our extended provider data product to bring you the physicians and practice groups affiliated with the hospitals. This combination of data is the only commercially available hospital dataset of this depth.

    NEW: Hospital NPI to CCN Rollup A CarePrecise Exclusive. Using advanced record-linkage technology, the AHD now includes a new file that makes it possible to mine the vast hospital information available in the National Provider Identifier registry database. Hospitals may have dozens of NPI records, each with its own information about a unit, listing facility type and/or medical specialties practiced, as well as separate contact names. To wield the power of this new feature, you'll need the CarePrecise Master Bundle, which contains all of the publicly available NPI registry data. These data are available in other CarePrecise data products.

    Counts are approximate due to ongoing updates. Please review the current AHD information here: https://www.careprecise.com/detail_authoritative_hospital_database.htm

    The AHD is sold as-is and no warranty is offered regarding accuracy, timeliness, completeness, or fitness for any purpose.

  • 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
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    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

  • Weekly United States COVID-19 Hospitalization Metrics by County (Historical)...

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jun 16, 2023
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    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED [Dataset]. https://healthdata.gov/dataset/Weekly-United-States-COVID-19-Hospitalization-Metr/n48a-vb2r
    Explore at:
    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    data.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, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. 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
    Calculation of county-level hospital metrics:
    • County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
    • Data presented at the county-level represent admissions, hosp

  • C

    Hospital Annual Financial Data - Selected Data & Pivot Tables

    • data.chhs.ca.gov
    • healthdata.gov
    • +4more
    csv, data, doc, html +4
    Updated Apr 23, 2025
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    Department of Health Care Access and Information (2025). Hospital Annual Financial Data - Selected Data & Pivot Tables [Dataset]. https://data.chhs.ca.gov/dataset/hospital-annual-financial-data-selected-data-pivot-tables
    Explore at:
    data, xlsx, xlsx(752914), xls(44933632), xls(18445312), html, xls(19650048), xlsx(765216), xlsx(754073), xlsx(770931), xls(920576), xlsx(769128), xls(44967936), xls, xlsx(763636), xls(18301440), pdf(310420), xls(51554816), xlsx(756356), pdf(333268), xls(19577856), xls(19599360), xlsx(777616), xlsx(782546), zip, xlsx(779866), xlsx(790979), xls(16002048), xlsx(14714368), xlsx(768036), xlsx(758089), doc, xlsx(750199), pdf(383996), pdf(258239), pdf(303198), pdf(121968), xls(14657536), csv(205488092), xlsx(758376), xls(51424256), xlsx(771275), xls(19625472)Available download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

    Due to the large size of the complete dataset, a selected set of data representing a wide range of commonly used data items, has been created that can be easily managed and downloaded. The selected data file includes general hospital information, utilization data by payer, revenue data by payer, expense data by natural expense category, financial ratios, and labor information.

    There are two groups of data contained in this dataset: 1) Selected Data - Calendar Year: To make it easier to compare hospitals by year, hospital reports with report periods ending within a given calendar year are grouped together. The Pivot Tables for a specific calendar year are also found here. 2) Selected Data - Fiscal Year: Hospital reports with report periods ending within a given fiscal year (July-June) are grouped together.

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

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jul 11, 2023
    + more versions
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    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED [Dataset]. https://healthdata.gov/dataset/Weekly-United-States-COVID-19-Hospitalization-Metr/i9k6-47up
    Explore at:
    json, csv, application/rdfxml, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jul 11, 2023
    Dataset provided by
    data.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, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    This dataset represents weekly 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 labo

  • V

    Definitive Healthcare: USA Hospital Beds

    • data.virginia.gov
    • splitgraph.com
    csv
    Updated Feb 3, 2024
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    Other (2024). Definitive Healthcare: USA Hospital Beds [Dataset]. https://data.virginia.gov/dataset/definitive-healthcare-usa-hospital-beds
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Area covered
    United States
    Description

    Made available through Socrata COVID-19 Plugin via API.

    From the source Web site: This dataset is intended to be used as a baseline for understanding the typical bed capacity and average yearly bed utilization of hospitals reporting such information. The date of last update received from each hospital may be varied. While the dataset is not updated in real-time, this information is critical for understanding the impact of a high utilization event, like COVID-19.

    Data source: https://coronavirus-resources.esri.com/datasets/1044bb19da8d4dbfb6a96eb1b4ebf629_0?geometry=49.394%2C-16.820%2C-74.356%2C72.123

    Definitive Healthcare is the leading provider of data, intelligence, and analytics on healthcare organizations and practitioners. In this service, Definitive Healthcare provides intelligence on the numbers of licensed beds, staffed beds, ICU beds, and the bed utilization rate for the hospitals in the United States.

  • Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National...

    • data.cdc.gov
    • healthdata.gov
    • +1more
    application/rdfxml +5
    Updated Jun 27, 2025
    + more versions
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2025). Weekly Hospital Respiratory Data (HRD) Metrics by Jurisdiction, National Healthcare Safety Network (NHSN) [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Weekly-Hospital-Respiratory-Data-HRD-Metrics-by-Ju/ua7e-t2fy
    Explore at:
    xml, application/rdfxml, application/rssxml, csv, json, tsvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

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

    Description

    This dataset represents weekly hospital respiratory data and metrics aggregated to national and state/territory levels reported to CDC’s National Health Safety Network (NHSN) beginning August 2020. Data for reporting dates through April 30, 2024 represent data reported during a previous mandated reporting period as specified by the HHS Secretary. Data for reporting dates May 1, 2024 – October 31, 2024 represent voluntarily reported data in the absence of a mandate. Data for reporting dates beginning November 1, 2024 represent data reported during a current mandated reporting period. All data and metrics capturing information on respiratory syncytial virus (RSV) were voluntarily reported until November 1, 2024. All data included in this dataset represent aggregated counts, and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and new hospital admissions with corresponding metrics indicating reporting coverage for a given reporting week. NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access hospitals in the United States.

    For more information on the reporting mandate per the Centers for Medicare and Medicaid Services (CMS) requirements, visit: Updates to the Condition of Participation (CoP) Requirements for Hospitals and Critical Access Hospitals (CAHs) To Report Acute Respiratory Illnesses.

    For more information regarding NHSN’s collection of these data, including full reporting guidance, visit: NHSN Hospital Respiratory Data.

    Source: CDC National Healthcare Safety Network (NHSN).

    • Data source description (updated November 15, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or 'COVID-19 hospital data') are reported to HHS through CDC's National Healthcare Safety Network (NHSN) based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data were voluntarily reported to NHSN May 1, 2024 until November 1, 2024, at which time CMS began requiring acute care and critical access hospitals to electronically report information via NHSN about COVID-19, influenza, and RSV, hospital bed census and capacity. Hospital bed capacity and occupancy data for all patients and for patients with COVID-19 or influenza for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary, and data for collection dates May 1, 2024 – October 31, 2024 represent data reported voluntarily to NHSN. All RSV data through October 31, 2024 represent voluntarily reported data; as such, all voluntarily reported data included in this dataset represent reporting hospitals only for a given week and might not be complete or representative of all hospitals during the specified reporting periods.
    • NHSN monitors national and local trends in healthcare system stress and capacity for all acute care and critical access 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. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.
    • Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data reported as of December 1, 2020 are subject to thorough, routine data quality review procedures, including identifying and excluding invalid values from metric calculations and application of error correction methodology; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable. As a result of data quality implementation and submission of any backfilled data, data and metrics might fluctuate or change week-over-week after initial posting.
    • Inclusion criteria and metric calculations:
      • Facility types and status: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations displayed on this page. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Number of reporting hospitals is determined based on the NHSN unique hospital identifier and not aggregated to the CMS certification number (CCN). Only hospitals indicated as active reporters in NHSN are included.
      • For occupancy metrics through week ending October 5, 2024: hospitals that reported those data at least one day during a given week are included in the metric calculation, which are displayed as weekly averages.
      • For occupancy metrics beginning week ending October 12, 2024: hospitals that reported those data for Wednesday during a given week are included in the metric calculation, which are displayed as single day (i.e. Wednesday) values.
      • For new hospital admissions metrics through week ending October 5, 2024: hospitals that reported those data at least one day during a given week are included in the metric calculation, which are displayed as weekly totals. Under previous reporting requirements, new hospital admissions data were reported daily to NHSN, as the number of new hospital admissions for the previous day.
      • For new hospital admissions metrics beginning week ending October 12, 2024: hospitals that reported those data for an entire reporting week are included in the metric calculation, which are displayed as weekly totals. Under current reporting requirements, new admissions data are reported to represent the number of new admissions occurring on a given reporting date (rather than previous day) or during a given reporting week.
    • Find full details on NHSN Hospital Respiratory Data (HRD) reporting guidance, including additional information on bed type definitions at https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Archived datasets updated during the mandatory hospital reporting period from August 1, 2020, to April 30, 2024:

    1. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/akn2-qxic/about_data
    2. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/82ci-krud/about_data
    3. https://data.cdc.gov/Public-Health-Surveillance/Respiratory-Virus-Response-RVR-United-States-Hospi/9t9r-e5a3/about_data
    4. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/7dk4-g6vg/about_data
    5. https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Hospitalization-Metrics-by-/39z2-9zu6/about_data

    Archived datasets updated during the voluntary hospital reporting period from May 1, 2024, to October 31, 2024:

    1. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-COVID-19-Hospitalization-Metr/akn2-qxic/about_data
    2. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/ype6-idgy

    Note: June 13th, 2025: Data for American Samoa (AS) for the June 1st, 2025 through June 7th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on June 13th, 2025.

    June 6th, 2025: Data for American Samoa (AS) for the May 25th, 2025 through May 31th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on June 6th, 2025.

    May 30th, 2025: Data for American Samoa (AS) for the May 18th, 2025 through May 24th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on May 30th, 2025.

    May 23rd, 2025: Data for American Samoa (AS) for the May 11th, 2025 through May 17th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on May 23rd, 2025.

    April 25th, 2025: Data for American Samoa (AS) for the April 13th, 2025 through April 19th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on April 25th, 2025.

    April 18th, 2025: Data for American Samoa (AS) for the April 6th, 2025 through April 12th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on April 18th, 2025.

    April 11th, 2025: Data for American Samoa (AS) for the March 30th, 2025 through April 5th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on April 11th, 2025.

    March 28th, 2025: Data for Guam (GU) for the March 16th, 2025 through March 22nd, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on March 28th, 2025.

    March 21st, 2025: Data for the Commonwealth of the Northern Mariana Islands (CNMI) for the March 9th, 2025 through March 15th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report released on March 21st, 2025.

    March 14th, 2025: Data for American Samoa (AS) and the Commonwealth of the Northern Mariana Islands (CNMI) for the March 2nd, 2025 through March 8th, 2025 reporting period are not available for the Weekly NHSN Hospital Respiratory Data report

  • Hospital Excel Dataset

    • kaggle.com
    Updated Apr 17, 2025
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    Omolola Labiyi (2025). Hospital Excel Dataset [Dataset]. https://www.kaggle.com/datasets/t0ut0u/hospital-excel-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Omolola Labiyi
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    📌 Project Overview This project analyzes hospital admissions, patient stays, and cost trends using Excel. The dataset contains information on patient demographics, hospital names, insurance providers, and treatment costs. Key insights were derived using PivotTables, charts, and formulas.

    📊 Key Insights & Visualizations ✅ Top Hospitals by Admissions → Bar Chart ✅ Insurance Provider with Most Patients → Pie Chart ✅ Cost per Day Trends → Line Chart ✅ Average Length of Stay per Hospital → Bar Chart

    🛠 Excel Analysis Techniques Used PivotTables for summarizing patient data

    Conditional Formatting to highlight cost trends

    Bar, Pie, and Line Charts for visualization

    Statistical Analysis (Average length of stay, cost trends)

    📂 Files Included 📌 hospital_analysis.xlsx – The full Excel analysis file 📌 hospital_summary.pdf – Summary of key findings

    Healthcare #HospitalData #ExcelAnalysis #DataVisualization #PivotTables #DataCleaning #MedicalAnalytics #PatientTrends #CostAnalysis #AdmissionsAnalysis #InsuranceData #DataAnalysis #ExcelDashboards #HealthTech

  • T

    HOSPITALS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 26, 2020
    + more versions
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    TRADING ECONOMICS (2020). HOSPITALS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/hospitals
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Mar 26, 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 HOSPITALS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  • Number of hospitals in the United States 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Jul 18, 2024
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    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.

  • Hospital capacity - most recent week

    • data.ct.gov
    application/rdfxml +5
    Updated Jun 26, 2025
    + more versions
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    U.S. Department of Health & Human Services (2025). Hospital capacity - most recent week [Dataset]. https://data.ct.gov/Health-and-Human-Services/Hospital-capacity-most-recent-week/48fw-z4m2
    Explore at:
    tsv, application/rdfxml, json, application/rssxml, csv, xmlAvailable download formats
    Dataset updated
    Jun 26, 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/dataset/covid-19-reported-patient-impact-and-hospital-capacity-facility

    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.

  • COVID-19 Hospital Data (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Mar 3, 2025
    + more versions
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    California Department of Public Health (2025). COVID-19 Hospital Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-hospital-data
    Explore at:
    csv(3296422), zipAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset is not being updated as hospitals are no longer mandated to report COVID Hospitalizations to CDPH.

    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).

  • T

    Spain Hospitals

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Spain Hospitals [Dataset]. https://tradingeconomics.com/spain/hospital
    Explore at:
    json, csv, excel, xmlAvailable download formats
    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
    Dec 31, 1980 - Dec 31, 2022
    Area covered
    Spain
    Description

    Hospitals in Spain decreased to 15.77 per one million people in 2022 from 16.40 per one million people in 2021. This dataset includes a chart with historical data for Spain Hospitals.

  • VHA hospitals Timely Care Data

    • kaggle.com
    Updated Jan 28, 2023
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    The Devastator (2023). VHA hospitals Timely Care Data [Dataset]. https://www.kaggle.com/datasets/thedevastator/vha-hospitals-timely-care-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 28, 2023
    Dataset provided by
    Kaggle
    Authors
    The Devastator
    Description

    VHA hospitals Timely Care Data

    Performance on Clinical Measures and Processes of Care

    By US Open Data Portal, data.gov [source]

    About this dataset

    This dataset provides an inside look at the performance of the Veterans Health Administration (VHA) hospitals on timely and effective care measures. It contains detailed information such as hospital names, addresses, census-designated cities and locations, states, ZIP codes county names, phone numbers and associated conditions. Additionally, each entry includes a score, sample size and any notes or footnotes to give further context. This data is collected through either Quality Improvement Organizations for external peer review programs as well as direct electronic medical records. By understanding these performance scores of VHA hospitals on timely care measures we can gain valuable insights into how VA healthcare services are delivering values throughout the country!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset contains information about the performance of Veterans Health Administration hospitals on timely and effective care measures. In this dataset, you can find the hospital name, address, city, state, ZIP code, county name, phone number associated with each hospital as well as data related to the timely and effective care measure such as conditions being measured and their associated scores.

    To use this dataset effectively, we recommend first focusing on identifying an area of interest for analysis. For example: what condition is most impacting wait times for patients? Once that has been identified you can narrow down which fields would best fit your needs - for example if you are studying wait times then “Score” may be more valuable to filter than Footnote. Additionally consider using aggregation functions over certain fields (like average score over time) in order to get a better understanding of overall performance by factor--for instance Location.

    Ultimately this dataset provides a snapshot into how Veteran's Health Administration hospitals are performing on timely and effective care measures so any research should focus around that aspect of healthcare delivery

    Research Ideas

    • Analyzing and predicting hospital performance on a regional level to improve the quality of healthcare for veterans across the country.
    • Using this dataset to identify trends and develop strategies for hospitals that consistently score low on timely and effective care measures, with the goal of improving patient outcomes.
    • Comparison analysis between different VHA hospitals to discover patterns and best practices in providing effective care so they can be shared with other hospitals in the system

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

    Columns

    File: csv-1.csv | Column name | Description | |:-----------------------|:-------------------------------------------------------------| | Hospital Name | Name of the VHA hospital. (String) | | Address | Street address of the VHA hospital. (String) | | City | City where the VHA hospital is located. (String) | | State | State where the VHA hospital is located. (String) | | ZIP Code | ZIP code of the VHA hospital. (Integer) | | County Name | County where the VHA hospital is located. (String) | | Phone Number | Phone number of the VHA hospital. (String) | | Condition | Condition being measured. (String) | | Measure Name | Measure used to measure the condition. (String) | | Score | Score achieved by the VHA h...

  • C

    Allegheny County Hospitals

    • data.wprdc.org
    • catalog.data.gov
    • +2more
    csv, html
    Updated Jun 3, 2024
    + more versions
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    Allegheny County (2024). Allegheny County Hospitals [Dataset]. https://data.wprdc.org/dataset/hospitals
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of hospitals and primary care facilities is managed by the Allegheny County Health Department and is used in internal reporting and shared for public use.

    Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

  • 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=Ab19xA (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 .

  • Drug Use Data from Selected Hospitals

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated May 9, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Drug Use Data from Selected Hospitals [Dataset]. https://catalog.data.gov/dataset/drug-use-data-from-selected-hospitals-26ee4
    Explore at:
    Dataset updated
    May 9, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2022 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative. The data are from 24 hospitals submitting inpatient and 23 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from October 1, 2022–September 30, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.

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

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    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_

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