This dataset shows the the America Best Nursing Homes in 2023 issued by the Newsweek and Statista.

This dataset provides restaurant inspections, violations, grades and adjudication information

Centers for Medicare & Medicaid Services - Nursing HomesThis feature layer, utilizing data from the Centers for Medicare & Medicaid Services (CMS), displays the locations of nursing homes in the U.S. Nursing homes provide a type of residential care. They are a place of residence for people who require constant nursing care and have significant deficiencies with activities of daily living. Per CMS, "Nursing homes, which include Skilled Nursing Facilities (SNFs) and Nursing Facilities (NFs), are required to be in compliance with Federal requirements to receive payment under the Medicare or Medicaid programs. The Secretary of the United States Department of Health & Human Services has delegated to the CMS and the State Medicaid Agency the authority to impose enforcement remedies against a nursing home that does not meet Federal requirements." This layer includes currently active nursing homes, including number of certified beds, address, and other information.Bridgepoint Sub-Acute and Rehab Capitol HillData downloaded: August 1, 2024Data source: Provider InformationData modification: This dataset includes only those facilities with addresses that were appropriately geocoded.For more information: Nursing homes including rehab servicesFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters for Medicare & Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

Minimum Data Set Frequency

  Description

The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/minimum-data-set-frequency.

Skilled Nursing Facility Cost Report

  Description

The Skilled Nursing Facility (SNF) Cost Report dataset is a public use file that provides select measures from the skilled nursing facility annual cost report. This data includes provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data organized by CMS Certification Number.

  Dataset… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/skilled-nursing-facility-cost-report.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a California Department of Public Health data system created to manage state licensing-related data. This file lists the bed types and bed type capacities that are associated with California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. This file can be linked by FACID to the Healthcare Facility Locations (Detailed) Open Data file for facility-related attributes, including geo-coding. The L&C Open Data facility beds file is updated monthly. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. A list of healthcare facilities with addresses can be found at: https://data.chhs.ca.gov/dataset/healthcare-facility-locations.

Payroll Based Journal Employee Detail Nursing Home Staffing

  Description

The Payroll Based Journal (PBJ) Employee Detail Nursing Home Staffing dataset provides information submitted by nursing homes including rehabilitation services on a quarterly basis. The data include a system generated employee identification number, work date, job type and employment status, and hours worked for each nursing home employee. Note: This full dataset contains more records than most… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/payroll-based-journal-employee-detail-nursing-home.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification.

To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed.

Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.

Map of all Health Care Facilities in California: https://go.cdii.ca.gov/cdph-facilities

Skilled Nursing Facility Change of Ownership

  Description

The Skilled Nursing Facility (SNF) Change of Ownership (CHOW) dataset provides information on the SNF ownership changes that occurred on or after January 1, 2016. This data includes information on the buyer and seller organization’s legal business name, provider type, change of ownership type (CHOW, Acquisition/Merger, or Consolidation) and the effective date of the change.

  Dataset Details

Publisher:… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/skilled-nursing-facility-change-of-ownership.

This dataset contains the locations of Article 28, Article 36 and Article 40 health care facilities and programs from the Health Facilities Information System (HFIS). Article 28 facilities are hospitals, nursing homes, and diagnostic treatment centers. Article 36 facilities are certified home health care agencies and long term home health care programs. Article 40 facilities are hospices. The dataset currently only contains the locations of hospitals and hospital extension clinics. The data for the remaining facility types will be added in the future. While the NYS Department of Health makes every effort to post accurate and reliable information, it does not guarantee or warrant that the information in this dataset is complete, accurate or up-to-date. If you have more reliable data than what is presented here, please send an update request to hfismb@health.state.ny.us . Please include facility name and FAC ID in the subject of correspondence. The "About" tab contains additional details concerning this dataset.

The 2010 National Survey of Residential Care Facilities (NSRCF) is a first-ever national probability sample survey that collects data on U.S. residential care providers, their staffs and services, and the people they serve. It is designed to provide national estimates of the number of residential care facilities operating in the United States, the number of residents receiving care, and the characteristics of both the facilities and their residents. NSRCF was conducted between March and November 2010. All residential care facilities that participated in the survey were places that were licensed, registered, listed, certified, or otherwise regulated by the state and that had 4 or more licensed, certified, or registered beds, provided room and board with at least two meals a day, around-the-clock on-site supervision, and help with personal care such as bathing and dressing or health related services such as medication management. These facilities served a predominantly adult population and had at least one current resident. Facilities licensed to serve the mentally ill or the developmentally disabled populations exclusively were excluded from the survey.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a California Department of Public Health data system created to manage state licensing-related data. ELMS records healthcare service provider applications, issues licenses, generates license renewal notices, determines license fees, issues and tracks State enforcement actions, and generates management reports. This file lists the services that are associated with California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. This file can be linked by FACID to the Healthcare Facility Locations (Detailed) Open Data file for facility-related attributes, including geo-coding. The L&C Open Data facility services file is updated monthly. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. A list of healthcare facilities with addresses can be found at: https://data.chhs.ca.gov/dataset/healthcare-facility-locations. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed.

The PA_Nursing_Homes layer contains the latitude and longitude coordinates of 689 nursing homes in Pennsylvania. When possible, efforts were made to confirm the rooftop location of each nursing home. The accuracy of geocoding is available in Geocoding Certainty attribute field (Geocoding Certainty: Rooftop="00", Street="01", Zip Centroid="04", Not geocoded="99"). Latitude and longitude are recorded in the WGS 1984 coordinate system in decimal degrees. The attribute data were obtained from an annual nursing home survey and include fields such as Facility ID numbers, longitude, latitude, facility name, street address, etc. Additional fields and data items could be potentially linked to this layer. For more information please visit https://www.statistics.health.pa.gov/HealthStatistics/HealthFacilities/NursingHomeReports/Pages/NursingHomeReports.aspxLast updated: 07/12/2022Contact Us: Pennsylvania Department of HealthDivision of Health InformaticsRA-DHICONTACTUS@pa.gov717-782-2448

A. SUMMARY This archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”.

B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases are from:  * Case interviews  * Laboratories  * Medical providers    These multiple streams of data are merged, deduplicated, and undergo data verification processes.  

Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups.

Gender * The City collects information on gender identity using these guidelines.

Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.  * This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where “Characteristic_Type” = ‘Skilled Nursing Facility Occupancy’.

Sexual orientation * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old. https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf">Learn more about our data collection guidelines pertaining to sexual orientation.

Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death.

Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures. These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions.

Single Room Occupancy (SRO) tenancy * SRO buildings are defined by the San Francisco Housing Code as having six or more "residential guest rooms" which may be attached to shared bathrooms, kitchens, and living spaces. * The details of a person's living arrangements are verified during case interviews.

Transmission Type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown.

C. UPDATE PROCESS This dataset has been archived and will no longer update as of 9/11/2023.

D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

This dataset includes many different types of characteristics. Filter the “Characteristic Type” column to explore a topic area. Then, the “Characteristic Group” column shows each group or category within that topic area and the number of cases on each date.

New cases are the count of cases within that characteristic group where the positive tests were collected on that specific specimen collection date. Cumulative cases are the running total of all San Francisco cases in that characteristic group up to the specimen collection date listed.

This data may not be immediately available for recently reported cases. Data updates as more information becomes available.

To explore data on the total number of cases, use the ARCHIVED: COVID-19 Cases Over Time dataset.

E. CHANGE LOG

• 9/11/2023 - data on COVID-19 cases by population characteristics over time are no longer being updated. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”.
• 6/6/2023 - data on cases by transmission type have been removed. See section ARCHIVED DATA for more detail.
• 5/16/2023 - data on cases by sexual orientation, comorbidities, homelessness, and single room occupancy have been removed. See section ARCHIVED DATA for more detail.
• 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
• 2/21/2023 - system updates to improve reliability and accuracy of cases data were implemented.
• 1/31/2023 - updated “population_estimate” column to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.
• 1/5/2023 - data on SNF cases removed. See section ARCHIVED DATA for more detail.
• 3/23/2022 - ‘Native American’ changed to ‘American Indian or Alaska Native’ to align with the census.
• 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.
• 7/15/2022 - reinfections added to cases dataset. See section SUMMARY for more information on how reinfections are identified.

This dataset identifies health care spending at medical services such as hospitals, physicians, clinics, and nursing homes etc. as well as for medical products such as medicine, prescription glasses and hearing aids. This dataset pertains to personal health care spending in general. Other datasets in this series include Medicaid personal health care spending and Medicare personal health care spending.

Nursing home facility data were downloaded from the NYS Dept. of Health website. For more information on nursing home facilities, visit http://www.health.state.ny.us/facilities/nursing/index.htm. The nursing home facility data were last updated April, 2019.

This feature layer contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. In this update the TRAUMA field was populated for 172 additional hospitals and helipad presence were verified for all hospitals.

This data set is the result of an effort to identify nursing and boarding homes licensed to operate in Minnesota. A new "provider type" column was added for 2022, using manual compilation methods, in order to distinguish between nursing homes and boarding care homes, which are nursing homes without Medicare certification.

The data was sourced from the Minnesota Department of Health's Directory of Licensed and Certified Health Care Providers: https://www.health.state.mn.us/facilities/regulation/directory/index.html

This feature layer contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. In this update the TRAUMA field was populated for 172 additional hospitals and helipad presence were verified for all hospitals.

This table contains features that represent healthcare facilities associated with nine NAICS codes. Establishment-specific information for all hospitals and some nursing homes, except the annual excess food estimate, was obtained from the Homeland Infrastructure Foundation-Level Data (https://hifld-geoplatform.opendata.arcgis.com/) and reflects 2020 data. For the remaining nursing homes, establishment-specific information except the annual excess food estimate was licensed to the EPA from D&B Hoovers in 2021 (https://www.dnb.com/). Calculations used to estimate annual excess food estimates are described in EPA’s 2023 publication: EPA Excess Food Opportunities Map Version 3 - Technical Methodology. The dataset contains 57,521 facilities.