100+ datasets found
  1. COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW)

    • healthdata.gov
    • datahub.hhs.gov
    • +3more
    Updated May 3, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). 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
    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. 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:

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

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

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

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

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

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

  • U.S. government - outlays of the Department of Health and Human Services...

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). U.S. government - outlays of the Department of Health and Human Services 2000-2028 [Dataset]. https://www.statista.com/statistics/200489/outlays-of-the-us-department-of-health-and-human-services-since-2000/
    Explore at:
    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States Department of Health and Human Services had outlays of about 1.64 trillion U.S. dollars in 2022. By 2028, the outlays of the Department of Health and Human Services are expected to increase to about 2.31 trillion U.S. dollars.

  • 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:

  • all_pediatric_inpatient_bed_occupied
  • all_pediatric_inpatient_bed_occupied_coverage
  • all_pediatric_inpatient_beds
  • all_pediatric_inpatient_beds_coverage
  • previous_day_admission_pediatric_covid_confirmed_0_4
  • previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  • previous_day_admission_pediatric_covid_confirmed_12_17
  • previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  • previous_day_admission_pediatric_covid_confirmed_5_11
  • previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  • previous_day_admission_pediatric_covid_confirmed_unknown
  • previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  • staffed_icu_pediatric_patients_confirmed_covid
  • staffed_icu_pediatric_patients_confirmed_covid_coverage
  • staffed_pediatric_icu_bed_occupancy
  • staffed_pediatric_icu_bed_occupancy_coverage
  • total_staffed_pediatric_icu_beds
  • total_staffed_pediatric_icu_beds_coverage

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

    On September 17, 2021, this data set has had the following fields added:
  • icu_patients_confirmed_influenza,
  • icu_patients_confirmed_influenza_coverage,
  • previous_day_admission_influenza_confirmed,
  • previous_day_admission_influenza_confirmed_coverage,
  • previous_day_deaths_covid_and_influenza,
  • previous_day_deaths_covid_and_influenza_coverage,
  • previous_day_deaths_influenza,
  • previous_day_deaths_influenza_coverage,
  • total_patients_hospitalized_confirmed_influenza,
  • total_patients_hospitalized_confirmed_influenza_and_covid,
  • total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  • total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  • on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  • on_hand_supply_therapeutic_b_bamlanivimab_courses,
  • on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  • previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  • previous_week_therapeutic_b_bamlanivimab_courses_used,
  • previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

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

    On April 30, 2021, this data set has had the following fields added:
  • previous_day_admission_adult_covid_confirmed_18-19
  • previous_day_admission_adult_covid_confirmed_18-19_coverage
  • previous_day_admission_adult_covid_confirmed_20-29_coverage
  • previous_day_admission_adult_covid_confirmed_30-39
  • previous_day_admission_adult_covid_confirmed_30-39_coverage
  • previous_day_admission_adult_covid_confirmed_40-49
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_50-59
  • previous_day_admission_adult_covid_confirmed_50-59_coverage
  • previous_day_admission_adult_covid_confirmed_60-69
  • previous_day_admission_adult_covid_confirmed_60-69_coverage
  • previous_day_admission_adult_covid_confirmed_70-79
  • previous_day_admission_adult_covid_confirmed_70-79_coverage
  • previous_day_admission_adult_covid_confirmed_80+
  • previous_day_admission_adult_covid_confirmed_80+_coverage
  • previous_day_admission_adult_covid_confirmed_unknown
  • previous_day_admission_adult_covid_confirmed_unknown_coverage
  • previous_day_admission_adult_covid_suspected_18-19
  • previous_day_admission_adult_covid_suspected_18-19_coverage
  • previous_day_admission_adult_covid_suspected_20-29
  • previous_day_admission_adult_covid_suspected_20-29_coverage
  • previous_day_admission_adult_covid_suspected_30-39
  • previous_day_admission_adult_covid_suspected_30-39_coverage
  • previous_day_admission_adult_covid_suspected_40-49
  • previous_day_admission_adult_covid_suspected_40-49_coverage
  • previous_day_admission_adult_covid_suspected_50-59
  • previous_day_admission_adult_covid_suspected_50-59_coverage
  • previous_day_admission_adult_covid_suspected_60-69
  • previous_day_admission_adult_covid_suspected_60-69_coverage
  • previous_day_admission_adult_covid_suspected_70-79
  • previous_day_admission_adult_covid_suspected_70-79_coverage
  • previous_day_admission_adult_covid_suspected_80+
  • previous_day_admission_adult_covid_suspected_80+_coverage
  • previous_day_admission_adult_covid_suspected_unknown
  • previous_day_admission_adult_covid_suspected_unknown_coverage

  • National Profile of Local Health Departments, [United States], 2019

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Jul 11, 2022
    + more versions
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    National Association of County & City Health Officials (U.S.) (2022). National Profile of Local Health Departments, [United States], 2019 [Dataset]. http://doi.org/10.3886/ICPSR38046.v1
    Explore at:
    r, sas, spss, ascii, stata, qualitative data, delimitedAvailable download formats
    Dataset updated
    Jul 11, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    National Association of County & City Health Officials (U.S.)
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38046/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38046/terms

    Time period covered
    2019
    Area covered
    United States
    Description

    Conducted by the National Association of County and City Health Officials (NACCHO), the purpose of this survey of local health departments (LHDs) was to advance and support the development of a database for LHDs to describe and understand their structure, function, and capacities. A core set of questions was submitted to every LHD. In addition, some LHDs received one of two randomly assigned modules of supplemental questions. The core questions covered governance, funding, workforce (staffing levels, occupations employed, top executive education and licensure), LHD activities, community health assessment and health improvement planning, accreditation through the Public Health Accreditation Board, and policy-making and advocacy. The surveyed LHD activities include immunization, screening for diseases and conditions, treatment for communicable diseases, maternal and child health, epidemiology and surveillance activities, population-based primary prevention activities, and regulation, inspection and/or licensing activities. Topics covered by Module 1 included LHD interaction with academic institutions, Partnerships and collaboration, Cross-jurisdictional sharing of services, Emergency preparedness, and Access to healthcare services. Module 2 examined additional issues related to jurisdiction and governance, community health assessment and planning, human resources issues, quality improvement, public health informatics, and use of the Community Guide of Preventive Services.

  • COVID-19 Community Profile Report

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Dec 16, 2020
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    White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup (2020). COVID-19 Community Profile Report [Dataset]. https://healthdata.gov/Health/COVID-19-Community-Profile-Report/gqxm-d9w9
    Explore at:
    tsv, xml, application/rdfxml, csv, json, application/rssxmlAvailable download formats
    Dataset updated
    Dec 16, 2020
    Dataset authored and provided by
    White House COVID-19 Team, Joint Coordination Cell, Data Strategy and Execution Workgroup
    License

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

    Description

    After over two years of public reporting, the Community Profile Report will no longer be produced and distributed after February 2023. The final release will be on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

    The Community Profile Report (CPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, under the White House COVID-19 Team. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services, the Centers for Disease Control and Prevention, the Assistant Secretary for Preparedness and Response, and the Indian Health Service). The CPR provides easily interpretable information on key indicators for all regions, states, core-based statistical areas (CBSAs), and counties across the United States. It is a snapshot in time that:

  • Focuses on recent COVID-19 outcomes in the last seven days and changes relative to the week prior
  • Provides additional contextual information at the county, CBSA, state and regional levels
  • Supports rapid visual interpretation of results with color thresholds*

    Data in this report may differ from data on state and local websites. This may be due to differences in how data were reported (e.g., date specimen obtained, or date reported for cases) or how the metrics are calculated. Historical data may be updated over time due to delayed reporting. Data presented here use standard metrics across all geographic levels in the United States. It facilitates the understanding of COVID-19 pandemic trends across the United States by using standardized data. The footnotes describe each data source and the methods used for calculating the metrics. For additional data for any particular locality, visit the relevant health department website. Additional data and features are forthcoming.

    *Color thresholds for each category are defined on the color thresholds tab

    Effective April 30, 2021, the Community Profile Report will be distributed on Monday through Friday. There will be no impact to the data represented in these reports due to this change.

    Effective June 22, 2021, the Community Profile Report will only be updated twice a week, on Tuesdays and Fridays.

    Effective August 2, 2021, the Community Profile Report will return to being updated Monday through Friday.

    Effective June 22, 2022, the Community Profile Report will only be updated twice a week, on Wednesdays and Fridays.

  • d

    FY22- About the Department of Health

    • catalog.data.gov
    • s.cnmilf.com
    Updated Apr 15, 2023
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    opendata.maryland.gov (2023). FY22- About the Department of Health [Dataset]. https://catalog.data.gov/dataset/fy22-about-the-department-of-health
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset provided by
    opendata.maryland.gov
    Description

    FY22- About the Department of Health

  • National Profile of Local Health Departments, United States, 2016,...

    • icpsr.umich.edu
    Updated Oct 23, 2018
    + more versions
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    National Association of County & City Health Officials (U.S.) (2018). National Profile of Local Health Departments, United States, 2016, Restricted-Use Level 2 Data [Dataset]. http://doi.org/10.3886/ICPSR37145.v1
    Explore at:
    Dataset updated
    Oct 23, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    National Association of County & City Health Officials (U.S.)
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37145/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37145/terms

    Time period covered
    2016
    Area covered
    United States
    Description

    Conducted by the National Association of County and City Health Officials (NACCHO), the purpose of this survey of local health departments (LHDs) was to advance and support the development of a database for LHDs to describe and understand their structure, function, and capacities. A core set of questions was submitted to every LHD. In addition, some LHDs received one of two randomly assigned modules of supplemental questions. Data from the National Profile of Local Health Departments survey are used by: LHD staff members to compare their LHD or those within their states to others nationwide; Policymakers at the local, state, and federal levels to inform public health policy and support projects to improve local public health practice; Universities to educate future public health workforce members about LHDs; Researchers to address questions about public health practice; andNACCHO staff to develop programs and resources that meet the needs of LHDs and to advocate effectively for LHDs. Data included as part of this collection includes the Restricted-Use (Restricted-Use Level 2) data of the National Profile of Local Health Departments 2016 study. The dataset includes 1930 cases for 1116 variables.

  • Wisconsin Local Public Health Department Offices

    • data.dhsgis.wi.gov
    Updated Jun 3, 2019
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    Wisconsin Department of Health Services (2019). Wisconsin Local Public Health Department Offices [Dataset]. https://data.dhsgis.wi.gov/datasets/wisconsin-local-public-health-department-offices
    Explore at:
    Dataset updated
    Jun 3, 2019
    Dataset authored and provided by
    Wisconsin Department of Health Serviceshttp://dhs.wisconsin.gov/
    License

    https://data.dhsgis.wi.gov/pages/gis-data-disclaimerhttps://data.dhsgis.wi.gov/pages/gis-data-disclaimer

    Area covered
    Description

    This dataset contains the point locations of local health department offices in Wisconsin. Wisconsin local health departments play a central role in providing essential public health services in communities.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/lh-depts/counties.htm

  • S

    DOH Mortality

    • health.data.ny.gov
    application/rdfxml +5
    Updated Jun 2, 2023
    + more versions
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    New York State Department of Health (2023). DOH Mortality [Dataset]. https://health.data.ny.gov/Health/DOH-Mortality/hxt7-qhxt
    Explore at:
    application/rssxml, application/rdfxml, tsv, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 2, 2023
    Authors
    New York State Department of Health
    License

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

    Description

    This dataset contains the number of cases, number of in hospital/30 day deaths, observed, expected and risk- adjusted mortality rates for cardiac surgery and percutaneous coronary interventions (PCI) by hospital. Regions represent where the hospitals are located. The initial Health Data NY dataset includes patients discharged between January 1, 2008, and December 31, 2010. Analyses of risk-adjusted mortality rates and associated risk factors are provided for 2010 and for the three-year period from 2008 through 2010. For PCI, analyses of all cases, non-emergency cases (which represent the majority of procedures) and emergency cases are included. Subsequent year reports data will be appended to this dataset. For more information check out: http://www.health.ny.gov/health_care/consumer_information/cardiac_surgery/ or go to the “About” tab.

  • Department of Health and Human Services

    • iatiregistry.org
    iati-xml
    Updated Mar 22, 2024
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    United States Health and Human Services (2024). Department of Health and Human Services [Dataset]. https://iatiregistry.org/dataset/hhs-org
    Explore at:
    iati-xml(43655)Available download formats
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    License

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

    Description

    Department of Health and Human Services

  • d

    Department Of Health Contracts Started Or Amended During State Fiscal Year...

    • catalog.data.gov
    • data.wa.gov
    • +3more
    Updated Jun 29, 2025
    + more versions
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    data.wa.gov (2025). Department Of Health Contracts Started Or Amended During State Fiscal Year 2017 [Dataset]. https://catalog.data.gov/dataset/department-of-health-contracts-started-or-amended-during-state-fiscal-year-2017
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.wa.gov
    Description

    A partial list of contracts the State Department of Health started or amended between July 1, 2016 and June 30, 2017. Includes grants, loans, and contracts for goods and professional services tracked in the department's primary contract database, the Enterprise Contract Management System (ECMS). It does not include contracts with Washington's local health jurisdictions, contracts for expert witnesses, purchase orders, contracts issued by the department but not tracked in ECMS, or contracts exempt from disclosure under state or federal regulation. Acronyms are used for doing business as (DBA), statement of work (SOW), and period of performance (POP).

  • 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

  • Home Health Care - State by State Data

    • data.wu.ac.at
    application/unknown
    Updated Apr 11, 2018
    + more versions
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    U.S. Department of Health & Human Services (2018). Home Health Care - State by State Data [Dataset]. https://data.wu.ac.at/schema/data_gov/MDU5ZjgwNDAtNjZiZC00NDNjLWE5ZGUtNzQ5YjBhNDFjZWFi
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    application/unknownAvailable download formats
    Dataset updated
    Apr 11, 2018
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    State averages of several home health agency quality measures for Home Health Agencies.

  • Hospital Compare Data

    • data.wu.ac.at
    application/unknown
    Updated Apr 4, 2018
    + more versions
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    U.S. Department of Health & Human Services (2018). Hospital Compare Data [Dataset]. https://data.wu.ac.at/schema/data_gov/OWVlMjkxODgtNDQzOS00NTNjLWExODItNzIyZmI0MWQ2NTYw
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    application/unknownAvailable download formats
    Dataset updated
    Apr 4, 2018
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Area covered
    United States
    Description

    These are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare and Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

  • a

    Data from: Local Health Department

    • data-isdh.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 17, 2018
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    Indiana Department of Health GIS Portal (2018). Local Health Department [Dataset]. https://data-isdh.opendata.arcgis.com/datasets/local-health-department-1
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    Dataset updated
    Aug 17, 2018
    Dataset authored and provided by
    Indiana Department of Health GIS Portal
    Area covered
    Description

    This dataset provides locations and related information for Local Health Department as of 11.30.2024 based on information provided by the IDOH Local Health Department Outreach. Local health departments provide essential health services to protect the public’s health such as environmental health services, food protection, emergency preparedness, preventative and primary care, immunizations, training and education, and others per statute or local government mandates.

  • a

    State Health Department

    • data-isdh.opendata.arcgis.com
    Updated Aug 17, 2018
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    Indiana Department of Health GIS Portal (2018). State Health Department [Dataset]. https://data-isdh.opendata.arcgis.com/datasets/state-health-department
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    Dataset updated
    Aug 17, 2018
    Dataset authored and provided by
    Indiana Department of Health GIS Portal
    Area covered
    Description

    This dataset provides locations and related information for State Health Department as of 12/12/2014 based on information provided by the ISDH. State health department offices. Visit http://www.in.gov/isdh/ for more information about this resource.

  • Healthcare.gov State Marketplace Information

    • data.wu.ac.at
    Updated Oct 30, 2015
    + more versions
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    U.S. Department of Health & Human Services (2015). Healthcare.gov State Marketplace Information [Dataset]. https://data.wu.ac.at/schema/data_gov/YTI2Y2Q3ODItMjNkZi00OTdlLWEyMDAtOTAzZTczY2M2MzI3
    Explore at:
    Dataset updated
    Oct 30, 2015
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    Every state will have a Health Insurance Marketplace, but each state can choose how it will operate. States can create and run their own Marketplace, or have a Marketplace supported by the Department of Health and Human Services (HHS). States may also choose to partner with HHS to run some functions of their Marketplace.

    HHS already has granted conditional approval to some states. This means they are on track to have a Marketplace starting in October 2013.

    The links below take you to websites that describe that states Marketplace efforts. The Marketplaces themselves will not begin accepting enrollments until October 2013.

  • d

    Public Health Official Departures

    • data.world
    csv, zip
    Updated Jun 7, 2022
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    The Associated Press (2022). Public Health Official Departures [Dataset]. https://data.world/associatedpress/public-health-official-departures
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    csv, zipAvailable download formats
    Dataset updated
    Jun 7, 2022
    Authors
    The Associated Press
    Description

    Changelog:

    Update September 20, 2021: Data and overview updated to reflect data used in the September 15 story Over Half of States Have Rolled Back Public Health Powers in Pandemic. It includes 303 state or local public health leaders who resigned, retired or were fired between April 1, 2020 and Sept. 12, 2021. Previous versions of this dataset reflected data used in the Dec. 2020 and April 2021 stories.

    Overview

    Across the U.S., state and local public health officials have found themselves at the center of a political storm as they combat the worst pandemic in a century. Amid a fractured federal response, the usually invisible army of workers charged with preventing the spread of infectious disease has become a public punching bag.

    In the midst of the coronavirus pandemic, at least 303 state or local public health leaders in 41 states have resigned, retired or been fired since April 1, 2020, according to an ongoing investigation by The Associated Press and KHN.

    According to experts, that is the largest exodus of public health leaders in American history.

    Many left due to political blowback or pandemic pressure, as they became the target of groups that have coalesced around a common goal — fighting and even threatening officials over mask orders and well-established public health activities like quarantines and contact tracing. Some left to take higher profile positions, or due to health concerns. Others were fired for poor performance. Dozens retired. An untold number of lower level staffers have also left.

    The result is a further erosion of the nation’s already fragile public health infrastructure, which KHN and the AP documented beginning in 2020 in the Underfunded and Under Threat project.

    Findings

    The AP and KHN found that:

    • One in five Americans live in a community that has lost its local public health department leader during the pandemic
    • Top public health officials in 28 states have left state-level departments ## Using this data To filter for data specific to your state, use this query

    To get total numbers of exits by state, broken down by state and local departments, use this query

    Methodology

    KHN and AP counted how many state and local public health leaders have left their jobs between April 1, 2020 and Sept. 12, 2021.

    The government tasks public health workers with improving the health of the general population, through their work to encourage healthy living and prevent infectious disease. To that end, public health officials do everything from inspecting water and food safety to testing the nation’s babies for metabolic diseases and contact tracing cases of syphilis.

    Many parts of the country have a health officer and a health director/administrator by statute. The analysis counted both of those positions if they existed. For state-level departments, the count tracks people in the top and second-highest-ranking job.

    The analysis includes exits of top department officials regardless of reason, because no matter the reason, each left a vacancy at the top of a health agency during the pandemic. Reasons for departures include political pressure, health concerns and poor performance. Others left to take higher profile positions or to retire. Some departments had multiple top officials exit over the course of the pandemic; each is included in the analysis.

    Reporters compiled the exit list by reaching out to public health associations and experts in every state and interviewing hundreds of public health employees. They also received information from the National Association of City and County Health Officials, and combed news reports and records.

    Public health departments can be found at multiple levels of government. Each state has a department that handles these tasks, but most states also have local departments that either operate under local or state control. The population served by each local health department is calculated using the U.S. Census Bureau 2019 Population Estimates based on each department’s jurisdiction.

    KHN and the AP have worked since the spring on a series of stories documenting the funding, staffing and problems around public health. A previous data distribution detailed a decade's worth of cuts to state and local spending and staffing on public health. That data can be found here.

    Attribution

    Findings and the data should be cited as: "According to a KHN and Associated Press report."

    Is Data Missing?

    If you know of a public health official in your state or area who has left that position between April 1, 2020 and Sept. 12, 2021 and isn't currently in our dataset, please contact authors Anna Maria Barry-Jester annab@kff.org, Hannah Recht hrecht@kff.org, Michelle Smith mrsmith@ap.org and Lauren Weber laurenw@kff.org.

  • d

    Maryland Department of Health (MDH) Dashboard Measures.

    • datadiscoverystudio.org
    • opendata.maryland.gov
    • +5more
    csv, json, rdf, xml
    Updated Apr 11, 2018
    + more versions
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    (2018). Maryland Department of Health (MDH) Dashboard Measures. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e1ae342cd5e74c2b863cfd7ecf2fccbf/html
    Explore at:
    rdf, json, xml, csvAvailable download formats
    Dataset updated
    Apr 11, 2018
    Description

    description: Data sources: heroin overdose deaths/infant mortality-Vital Statistics Administration; lead-Medicaid; HIV diagnoses-Prevention and Health Promotion Administration; and immunizations-National Immunization Survey.; abstract: Data sources: heroin overdose deaths/infant mortality-Vital Statistics Administration; lead-Medicaid; HIV diagnoses-Prevention and Health Promotion Administration; and immunizations-National Immunization Survey.

  • d

    Data from: Public Health Departments

    • catalog.data.gov
    Updated Nov 2, 2022
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    HIFLD (2022). Public Health Departments [Dataset]. https://catalog.data.gov/dataset/public-health-departments
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    Dataset updated
    Nov 2, 2022
    Dataset provided by
    HIFLD
    Description

    Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on Public Health Departments.

  • Share
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    U.S. Department of Health & Human Services (2024). 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
    Organization logo

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

    Explore at:
    10 scholarly articles cite this dataset (View in Google Scholar)
    xml, csv, application/rssxml, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable 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. 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:

  • all_pediatric_inpatient_bed_occupied
  • all_pediatric_inpatient_bed_occupied_coverage
  • all_pediatric_inpatient_beds
  • all_pediatric_inpatient_beds_coverage
  • previous_day_admission_pediatric_covid_confirmed_0_4
  • previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  • previous_day_admission_pediatric_covid_confirmed_12_17
  • previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  • previous_day_admission_pediatric_covid_confirmed_5_11
  • previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  • previous_day_admission_pediatric_covid_confirmed_unknown
  • previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  • staffed_icu_pediatric_patients_confirmed_covid
  • staffed_icu_pediatric_patients_confirmed_covid_coverage
  • staffed_pediatric_icu_bed_occupancy
  • staffed_pediatric_icu_bed_occupancy_coverage
  • total_staffed_pediatric_icu_beds
  • total_staffed_pediatric_icu_beds_coverage

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

    On September 17, 2021, this data set has had the following fields added:
  • icu_patients_confirmed_influenza,
  • icu_patients_confirmed_influenza_coverage,
  • previous_day_admission_influenza_confirmed,
  • previous_day_admission_influenza_confirmed_coverage,
  • previous_day_deaths_covid_and_influenza,
  • previous_day_deaths_covid_and_influenza_coverage,
  • previous_day_deaths_influenza,
  • previous_day_deaths_influenza_coverage,
  • total_patients_hospitalized_confirmed_influenza,
  • total_patients_hospitalized_confirmed_influenza_and_covid,
  • total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  • total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  • on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  • on_hand_supply_therapeutic_b_bamlanivimab_courses,
  • on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  • previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  • previous_week_therapeutic_b_bamlanivimab_courses_used,
  • previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

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

    On April 30, 2021, this data set has had the following fields added:
  • previous_day_admission_adult_covid_confirmed_18-19
  • previous_day_admission_adult_covid_confirmed_18-19_coverage
  • previous_day_admission_adult_covid_confirmed_20-29_coverage
  • previous_day_admission_adult_covid_confirmed_30-39
  • previous_day_admission_adult_covid_confirmed_30-39_coverage
  • previous_day_admission_adult_covid_confirmed_40-49
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_50-59
  • previous_day_admission_adult_covid_confirmed_50-59_coverage
  • previous_day_admission_adult_covid_confirmed_60-69
  • previous_day_admission_adult_covid_confirmed_60-69_coverage
  • previous_day_admission_adult_covid_confirmed_70-79
  • previous_day_admission_adult_covid_confirmed_70-79_coverage
  • previous_day_admission_adult_covid_confirmed_80+
  • previous_day_admission_adult_covid_confirmed_80+_coverage
  • previous_day_admission_adult_covid_confirmed_unknown
  • previous_day_admission_adult_covid_confirmed_unknown_coverage
  • previous_day_admission_adult_covid_suspected_18-19
  • previous_day_admission_adult_covid_suspected_18-19_coverage
  • previous_day_admission_adult_covid_suspected_20-29
  • previous_day_admission_adult_covid_suspected_20-29_coverage
  • previous_day_admission_adult_covid_suspected_30-39
  • previous_day_admission_adult_covid_suspected_30-39_coverage
  • previous_day_admission_adult_covid_suspected_40-49
  • previous_day_admission_adult_covid_suspected_40-49_coverage
  • previous_day_admission_adult_covid_suspected_50-59
  • previous_day_admission_adult_covid_suspected_50-59_coverage
  • previous_day_admission_adult_covid_suspected_60-69
  • previous_day_admission_adult_covid_suspected_60-69_coverage
  • previous_day_admission_adult_covid_suspected_70-79
  • previous_day_admission_adult_covid_suspected_70-79_coverage
  • previous_day_admission_adult_covid_suspected_80+
  • previous_day_admission_adult_covid_suspected_80+_coverage
  • previous_day_admission_adult_covid_suspected_unknown
  • previous_day_admission_adult_covid_suspected_unknown_coverage

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