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Hospital Beds in the United States decreased to 2.75 per 1000 people in 2022 from 2.77 per 1000 people in 2021. This dataset includes a chart with historical data for the United States Hospital Beds.
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TwitterLooking for a dataset on hospitals in the United States? Look no further! This dataset contains information on all of the hospitals registered with Medicare in the US, including their addresses, phone numbers, hospital type, and more. With such a large amount of data, this dataset is perfect for anyone interested in studying the US healthcare system.
This dataset can also be used to study hospital ownership, emergency services
If you want to study the US healthcare system, this dataset is perfect for you. It contains information on all of the hospitals registered with Medicare, including their addresses, phone numbers, hospital type, and more. With such a large amount of data, this dataset is perfect for anyone interested in studying the US healthcare system.
This dataset can also be used to study hospital ownership, emergency services, and EHR usage. In addition, the hospital overall rating and various comparisons are included for safety of care, readmission rates
This dataset was originally published by Centers for Medicare and Medicaid Services and has been modified for this project
File: Hospital_General_Information.csv | Column name | Description | |:-------------------------------------------------------|:----------------------------------------------------------------------------------------------------------| | Hospital Name | The name of the hospital. (String) | | Hospital Name | The name of the hospital. (String) | | Address | The address of the hospital. (String) | | Address | The address of the hospital. (String) | | City | The city in which the hospital is located. (String) | | City | The city in which the hospital is located. (String) | | State | The state in which the hospital is located. (String) | | State | The state in which the hospital is located. (String) | | ZIP Code | The ZIP code of the hospital. (Integer) | | ZIP Code | The ZIP code of the hospital. (Integer) | | County Name | The county in which the hospital is located. (String) | | County Name | The county in which the hospital is located. (String) | | Phone Number | The phone number of the hospital. (String) | | Phone Number | The phone number of the hospital. (String) | | Hospital Type | The type of hospital. (String) | | Hospital Type | The type of hospital. (String) | | Hospital Ownership | The ownership of the hospital. (String) | | Hospital Ownership | The ownership of the hospital. (String) | | Emergency Services | Whether or not the...
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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.
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.
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TwitterThe 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.
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TwitterThe "COVID-19 Reported Patient Impact and Hospital Capacity by Facility" dataset from the U.S. Department of Health & Human Services, filtered for Connecticut. View the full dataset and detailed metadata here: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Friday to Thursday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities. The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities. For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-20 means the average/sum/coverage of the elements captured from that given facility starting and including Friday, November 20, 2020, and ending and including reports for Thursday, November 26, 2020. Reported elements include an append of either “_coverage”, “_sum”, or “_avg”. A “_coverage” append denotes how many times the facility reported that element during that collection week. A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week. A “_avg” append is the average of the reports provided for that facility for that element during that collection week. The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”. This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020. Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect. For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied. On May 3, 2021, the following fields have been added to this data set. hhs_ids previous_day_admission_adult_covid_confirmed_7_day_coverage previous_day_admission_pediatric_covid_confirmed_7_day_coverage previous_day_admission_adult_covid_suspected_7_day_coverage previous_day_admission_pediatric_covid_suspected_7_day_coverage previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum total_personnel_covid_vaccinated_doses_none_7_day_sum total_personnel_covid_vaccinated_doses_one_7_day_sum total_personnel_covid_vaccinated_doses_all_7_day_sum previous_week_patients_covid_vaccinated_doses_one_7_day_sum previous_week_patients_covid_vaccinated_doses_all_7_day_sum On May 8, 2021, this data set has been converted to a corrected data set. The corrections applied to this data set are to smooth out data anomalies caused by keyed in data errors. To help determine which records have had corrections made to it. An additional Boolean field called is_corrected has been added. To see the numbers as reported by the facilities, go to: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number report
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TwitterNote - this is not real-time status information, the data represents bed utilization based on annual estimates of how many beds are used versus available.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. Please see the following for more details about each metric, data was last updated on 17 March 2020:
Number of Licensed beds: is the maximum number of beds for which a hospital holds a license to operate; however, many hospitals do not operate all the beds for which they are licensed. This number is obtained through DHC Primary Research. Licensed beds for Health Systems are equal to the total number of licensed beds of individual Hospitals within a given Health System.
Number of Staffed Bed: is defined as an "adult bed, pediatric bed, birthing room, or newborn ICU bed (excluding newborn bassinets) maintained in a patient care area for lodging patients in acute, long term, or domiciliary areas of the hospital." Beds in labor room, birthing room, post-anesthesia, postoperative recovery rooms, outpatient areas, emergency rooms, ancillary departments, nurses and other staff residences, and other such areas which are regularly maintained and utilized for only a portion of the stay of patients (primarily for special procedures or not for inpatient lodging) are not termed a bed for these purposes. Definitive Healthcare sources Staffed Bed data from the Medicare Cost Report or Proprietary Research as needed. As with all Medicare Cost Report metrics, this number is self-reported by providers. Staffed beds for Health Systems are equal to the total number of staffed beds of individual Hospitals within a given Health System. Total number of staffed beds in the US should exclude Hospital Systems to avoid double counting. ICU beds are likely to follow the same logic as a subset of Staffed beds.
Number of ICU Beds - ICU (Intensive Care Unit) Beds: are qualified based on definitions by CMS, Section 2202.7, 22-8.2. These beds include ICU beds, burn ICU beds, surgical ICU beds, premature ICU beds, neonatal ICU beds, pediatric ICU beds, psychiatric ICU beds, trauma ICU beds, and Detox ICU beds.
Bed Utilization Rate: is calculated based on metrics from the Medicare Cost Report: Bed Utilization Rate = Total Patient Days (excluding nursery days)/Bed Days Available
Potential Increase in Bed Capacity: This metric is computed by subtracting “Number of Staffed Beds from Number of Licensed beds” (Licensed Beds – Staffed Beds). This would provide insights into scenario planning for when staff can be shifted around to increase available bed capacity as needed.
Hospital Definition: Definitive Healthcare defines a hospital as a healthcare institution providing inpatient, therapeutic, or rehabilitation services under the supervision of physicians. In order for a facility to be considered a hospital it must provide inpatient care.
Hospital types are defined by the last four digits of the hospital’s Medicare Provider Number. If the hospital does not have a Medicare Provider Number, Definitive Healthcare determines the Hospital type by proprietary research.
Hospital Types:
·
Short
Term Acute Care Hospital (STAC)
o
Provides
inpatient care and other services for surgery, acute medical conditions, or
injuries
o
Patients
care can be provided overnight, and average length of stay is less than 25 days
·
Critical
Access Hospital (CAH)
o
25 or
fewer acute care inpatient beds
o
Located
more than 35 miles from another hospital
o
Annual
average length of stay is 96 hours or less for acute care patients
o
Must
provide 24/7 emergency care services
o
Designation
by CMS to reduce financial vulnerability of rural hospitals and improve access
to healthcare
·
Religious
Non-Medical Health Care Institutions
o
Provide
nonmedical health care items and services to people who need hospital or skilled
nursing facility care, but for whom that care would be inconsistent with their
religious beliefs
·
Long
Term Acute Care Hospitals
o
Average
length of stay is more than 25 days
o
Patients
are receiving acute care - services often include respiratory therapy, head
trauma treatment, and pain management
·
Rehabilitation
Hospitals
o
Specializes
in improving or restoring patients' functional abilities through therapies
·
Children’s
Hospitals
o
Majority
of inpatients under 18 years old
·
Psychiatric
Hospitals
o
Provides
inpatient services for diagnosis and treatment of mental illness 24/7
o
Under
the supervision of a physician
·
Veteran's
Affairs (VA) Hospital
o
Responsible
for the care of war veterans and other retired military personnel
o
Administered
by the U.S. VA, and funded by the federal government
·
Department
of Defense (DoD) Hospital
o
Provides
care for military service people (Army, Navy, Air Force, Marines, and Coast
Guard), their dependents, and retirees (not all military service retirees are
eligible for VA services)
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Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.
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TwitterNote: 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:
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TwitterDeprecated report. This report was created early in the response to the COVID-19 pandemic. Increased reporting and quality in hospital data have rendered the estimated datasets obsolete. Updates to this report will be discontinued on July 29, 2021. The following dataset provides state-aggregated data for estimated patient impact and hospital utilization. The source data for estimation is 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. Estimates Basis: These files are representative estimates for each state and are updated weekly. These projections are based on the information we have from those who reported. As more hospitals report more frequently our projections become more accurate. The actual data for these data points are updated every day, once a day on healthdata.gov and these are the downloadable data sets.
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TwitterNote: 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. 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:
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TwitterThe number of hospital beds in the United States was forecast to continuously increase between 2024 and 2029 by in total **** thousand beds (+**** percent). After the fifteenth consecutive increasing year, the number of hospital beds is estimated to reach ***** thousand beds and therefore a new peak in 2029. Notably, the number of hospital beds of was continuously increasing over the past years.Depicted is the estimated total number of hospital beds in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospital beds in countries like Mexico and Canada.
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TwitterNote: 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:
Metric details:
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TwitterAfter 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_bamlanivima
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Dataset consists of historical data of pre-pandemic period and doesn’t represent the current reality which may have changed due to the spikes in demand. This dataset has been generated in collaboration of efforts within CoronaWhy community.
Last updated: April 26th 2020 Updates: April 14th 2020 - Added missing population data April 15th 2020 - Added Brazil statewise ICU hospital beds dataset April 21th 2020 - Added Italy, Spain statewise ICU hospital beds dataset, India statewise TOTAL hospital beds dataset April 26th 2020 - Added Sweden ICU(2019) and TOTAL(2018) beds datasets
I am trying to produce a dataset that will provide a foundation for policymakers to understand the realistic capacity of healthcare providers being able to deal with the spikes in demand for intensive care. As a way to help, I’ve prepared a dataset of beds across countries and states. Work in progress dataset that should and will be updated as more data becomes available and public on weekly basis.
This dataset is intended to be used as a baseline for understanding the typical bed capacity and coverage globally. This information is critical for understanding the impact of a high utilization event, like COVID-19.
Datasets are scattered across the web and are very hard to normalize, I did my best but help would be much appreciated.
arcgis (USA) - https://services1.arcgis.com/Hp6G80Pky0om7QvQ/arcgis/rest/services/Hospitals_1/FeatureServer/0 KHN (USA) - https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/ datahub.io (World) - https://datahub.io/world-bank/sh.med.beds.zs eurostat - https://data.europa.eu/euodp/en/data/dataset/vswUL3c6yKoyahrvIRyew OECD - https://data.oecd.org/healtheqt/hospital-beds.htm WDI (World) - https://data.worldbank.org/indicator/SH.MED.BEDS.ZS NHP(India) - http://www.cbhidghs.nic.in/showfile.php?lid=1147 data.gov.sg (Singapore) - https://data.gov.sg/dataset/health-facilities?view_id=91b4feed-dcb9-4720-8cb0-ac2f04b7efd0&resource_id=dee5ccce-4dfb-467f-bcb4-dc025b56b977 dati.salute.gov.it (Italy)- http://www.dati.salute.gov.it/dati/dettaglioDataset.jsp?menu=dati&idPag=96 portal.icuregswe.org (Sweden) - https://portal.icuregswe.org/seiva/en/Rapport publications: Intensive Care Medicine Journal (Europe) - https://link.springer.com/article/10.1007/s00134-012-2627-8 Critical Care Medicine Journal (Asia) - https://www.researchgate.net/figure/Number-of-critical-care-beds-per-100-000-population_fig1_338520008 Medicina Intensiva (Spain) - https://www.medintensiva.org/en-pdf-S2173572713000878 news: https://lanuovaferrara.gelocal.it/italia-mondo/cronaca/2020/03/19/news/dietro-la-corsa-a-nuovi-posti-in-terapia-intensiva-gli-errori-del-passato-1.38611596 kaggle: germany - https://www.kaggle.com/manuelblechschmidt/icu-beds-in-germany brazil (IBGE) - https://www.kaggle.com/thiagobodruk/brazilianstates Manual population data search from wiki
country,state,county,lat,lng,type,measure,beds,population,year,source,source_url - country - country of origin, if present - state - more granular location, if present - lat - latitude - lng - longtitude - type - [TOTAL, ICU, ACUTE(some data could include ICU beds too), PSYCHIATRIC, OTHER(merged ‘SPECIAL’, ‘CHRONIC DISEASE’, ‘CHILDREN’, ‘LONG TERM CARE’, ‘REHABILITATION’, ‘WOMEN’, ‘MILITARY’] - measure - type of measure (per 1000 inhabitants) - beds - number of beds per 1000 - population - population of location based on multiple sources and wikipedia - year - source year for beds and population data - source - source of data - source_url - URL of the original source
for each of datasource: hospital_beds_per_source.csv
US only: US arcgis + khn (state/county granularity): hospital_beds_USA.csv
Global (state(region)/county granularity): hospital_beds_global_regional.csv
Global (country granularity): hospital_beds_global_v1.csv
Igor Kiulian - extracting/normalizing/formatting/merging data Artur Kiulian - helped with Kaggle setup Augaly S. Kiedi - helped with country population data Kristoffer Jan Zieba - found Swedish data sources
Find and megre more detailed (state/county wise) or newer datasource
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License information was derived automatically
This dataset provides values for HOSPITAL BEDS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterAfter May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations. This report shows facilities currently in suspense regarding CoP requirements due to being in a work plan or other related reasons is shown if any facilities are currently in suspense. These CCNs will not be included in the tab listing all other hospitals or included in any summary counts while in suspense. 01/05/2024 – As of FAQ 6, the following optional fields have been added to this report: total_adult_patients_hospitalized_confirmed_influenza total_pediatric_patients_hospitalized_confirmed_influenza previous_day_admission_adult_influenza_confirmed previous_day_admission_pediatric_influenza_confirmed staffed_icu_adult_patients_confirmed_influenza staffed_icu_pediatric_patients_confirmed_influenza total_adult_patients_hospitalized_confirmed_rsv total_pediatric_patients_hospitalized_confirmed_rsv previous_day_admission_adult_rsv_confirmed previous_day_admission_pediatric_rsv_confirmed staffed_icu_adult_patients_confirmed_rsv staffed_icu_pediatric_patients_confirmed_rsv 6/17/2023 - With the new 28-day compliance reporting period, CoP reports will be posted every 4 weeks. 9/12/2021 - To view other COVID-19 Hospital Data Coverage datasets, follow this link to view summary page: https://healthdata.gov/stories/s/ws49-ddj5 As of FAQ3, the following field are federally inactive and will no longer be included in this report: previous_week_personnel_covid_vaccinated_doses_administered total_personnel_covid_vaccinated_doses_none total_personnel_covid_vaccinated_doses_one total_personnel_covid_vaccinated_doses_all total_personnel previous_week_patients_covid_vaccinated_doses_one previous_week_patients_covid_vaccinated_doses_all
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The U.S. Census Bureau regularly collects information for many metropolitan areas in the United States, including data on number of physicians and number (and size) of hospitals. This dataset has such information for 83 different metropolitan areas.
| Column Name | Description |
|---|---|
| City | Name of the metropolitan area |
| NumMDs | Number of physicians |
| RateMDs | Number of physicians per 100,000 people |
| NumHospitals | Number of community hospitals |
| NumBeds | Number of hospital beds |
| RateBeds | Number of hospital beds per 100,000 people |
| NumMedicare | Number of Medicare recipients in 2003 |
| PctChangeMedicare | Percent change in Medicare recipients (2000 to 2003) |
| MedicareRate | Number of Medicare recipients per 100,000 people |
| SSBNum | Number of Social Security recipients in 2004 |
| SSBRate | Number of Social Security recipients per 100,000 people |
| SSBChange | Percent change in Social Security recipients (2000 to 2004) |
| NumRetired | Number of retired workers |
| SSINum | Number of Supplemental Security Income recipients in 2004 |
| SSIRate | Number of Supplemental Security Income recipients per 100,000 people |
| SqrtMDs | Square root of number of physicians |
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License information was derived automatically
This dataset is about countries per year in Central America. It has 512 rows. It features 3 columns: country, and hospital beds.
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TwitterNAPSG Foundation simply changed the symbology based on bed utilization and filter set to Hospital Type is not 'Psychiatric Hospital'. NAPSG Foundation is not the host of this dataset, see notes below for more details.Also - it is not clear how often the bed utilization rate updates, but it is now presumed to be 4x per year. THIS IS NOT A REAL-TIME DATASET.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. Please see the following for more details about each metric, data was last updated on 17 March 2020:Number of Licensed beds: is the maximum number of beds for which a hospital holds a license to operate; however, many hospitals do not operate all the beds for which they are licensed. This number is obtained through DHC Primary Research. Licensed beds for Health Systems are equal to the total number of licensed beds of individual Hospitals within a given Health System. Number of Staffed Bed: is defined as an "adult bed, pediatric bed, birthing room, or newborn ICU bed (excluding newborn bassinets) maintained in a patient care area for lodging patients in acute, long term, or domiciliary areas of the hospital." Beds in labor room, birthing room, post-anesthesia, postoperative recovery rooms, outpatient areas, emergency rooms, ancillary departments, nurses and other staff residences, and other such areas which are regularly maintained and utilized for only a portion of the stay of patients (primarily for special procedures or not for inpatient lodging) are not termed a bed for these purposes. Definitive Healthcare sources Staffed Bed data from the Medicare Cost Report or Proprietary Research as needed. As with all Medicare Cost Report metrics, this number is self-reported by providers. Staffed beds for Health Systems are equal to the total number of staffed beds of individual Hospitals within a given Health System. Total number of staffed beds in the US should exclude Hospital Systems to avoid double counting. ICU beds are likely to follow the same logic as a subset of Staffed beds. Number of ICU Beds - ICU (Intensive Care Unit) Beds: are qualified based on definitions by CMS, Section 2202.7, 22-8.2. These beds include ICU beds, burn ICU beds, surgical ICU beds, premature ICU beds, neonatal ICU beds, pediatric ICU beds, psychiatric ICU beds, trauma ICU beds, and Detox ICU beds. Bed Utilization Rate: is calculated based on metrics from the Medicare Cost Report: Bed Utilization Rate = Total Patient Days (excluding nursery days)/Bed Days AvailablePotential Increase in Bed Capacity: This metric is computed by subtracting “Number of Staffed Beds from Number of Licensed beds” (Licensed Beds – Staffed Beds). This would provide insights into scenario planning for when staff can be shifted around to increase available bed capacity as needed. Hospital Definition: Definitive Healthcare defines a hospital as a healthcare institution providing inpatient, therapeutic, or rehabilitation services under the supervision of physicians. In order for a facility to be considered a hospital it must provide inpatient care. Hospital types are defined by the last four digits of the hospital’s Medicare Provider Number. If the hospital does not have a Medicare Provider Number, Definitive Healthcare determines the Hospital type by proprietary research. Hospital Types:· Short Term Acute Care Hospital (STAC)o Provides inpatient care and other services for surgery, acute medical conditions, or injurieso Patients care can be provided overnight, and average length of stay is less than 25 days· Critical Access Hospital (CAH)o 25 or fewer acute care inpatient bedso Located more than 35 miles from another hospitalo Annual average length of stay is 96 hours or less for acute care patientso Must provide 24/7 emergency care serviceso Designation by CMS to reduce financial vulnerability of rural hospitals and improve access to healthcare· Religious Non-Medical Health Care Institutionso Provide nonmedical health care items and services to people who need hospital or skilled nursing facility care, but for whom that care would be inconsistent with their religious beliefs· Long Term Acute Care Hospitalso Average length of stay is more than 25 dayso Patients are receiving acute care - services often include respiratory therapy, head trauma treatment, and pain management· Rehabilitation Hospitalso Specializes in improving or restoring patients' functional abilities through therapies· Children’s Hospitalso Majority of inpatients under 18 years old· Psychiatric Hospitalso Provides inpatient services for diagnosis and treatment of mental illness 24/7o Under the supervision of a physician· Veteran's Affairs (VA) Hospital o Responsible for the care of war veterans and other retired military personnelo Administered by the U.S. VA, and funded by the federal government· Department of Defense (DoD) Hospitalo Provides care for military service people (Army, Navy, Air Force, Marines, and Coast Guard), their dependents, and retirees (not all military service retirees are eligible for VA services) For more information please visit - https://www.definitivehc.com/ - or contact sales@definitivehc.com
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This dataset is about countries per year in the United States. It has 64 rows. It features 4 columns: country, electricity production from nuclear sources, and hospital beds.
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Hospital Beds in the United States decreased to 2.75 per 1000 people in 2022 from 2.77 per 1000 people in 2021. This dataset includes a chart with historical data for the United States Hospital Beds.