Point geometry with attributes displaying medical clinics in East Baton Rouge Parish, Louisiana.Metadata

Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations."Greendale Fire DepartmentData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Medical & Emergency Response) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)OGC API Features Link: (Medical Emergency Response Structures - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

Geospatial data about Los Angeles County Hospitals and Medical Centers. Export to CAD, GIS, PDF, CSV and access via API.

Field Name Data Type Description

Statefp Number US Census Bureau unique identifier of the state

Countyfp Number US Census Bureau unique identifier of the county

Countynm Text County name

Tractce Number US Census Bureau unique identifier of the census tract

Geoid Number US Census Bureau unique identifier of the state + county + census tract

Aland Number US Census Bureau defined land area of the census tract

Awater Number US Census Bureau defined water area of the census tract

Asqmi Number Area calculated in square miles from the Aland

MSSAid Text ID of the Medical Service Study Area (MSSA) the census tract belongs to

MSSAnm Text Name of the Medical Service Study Area (MSSA) the census tract belongs to

Definition Text Type of MSSA, possible values are urban, rural and frontier.

TotalPovPop Number US Census Bureau total population for whom poverty status is determined of the census tract, taken from the 2020 ACS 5 YR S1701

Hospitals in Harris County

This layer is sourced from www.gis.hctx.net.

Locations of Harris County hospitals used for demonstration and increasing the capibilities of ITC development staff.

© ITC repository

Emergency medical services (EMS) locations in Utah. The EMS stations dataset consists of any location where EMS personnel are stationed, based or where equipment used by EMS personnel is stored for ready use. Ambulance services, including transportation only services are in this data. Ambulance services located at, and operated by, a hospital are excluded. Independent ambulance service or EMS provider that are collocated with a hospital are included. The dataset includes both private and governmental entities. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries.

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 map layer is a subset of the Columbus Points of Interest layer and shows medical facilities in the City of Columbus. Medical facilities include hospitals, clinics, physicians' offices (primary care, pediatricians, ob/gyn), women's health centers, laboratories, and other facilities. This layer is maintained through a cooperative effort by multiple departments of the City of Columbus using first-hand knowledge of the area as well as a variety of authoritative data sources. While significant effort is made to ensure the data is as accurate and comprehensive as possible, some points of interest may be excluded and included points may not be immediately updated as change occurs.

Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.

ASTHO created a Elective Medical Procedures Guidance layer using Esri’s ArcGIS online mapping tool. Data was sourced from health agency websites, executive orders and guidance documents. The layer displays information on state/territorial level guidance on elective medical procedures from health agency websites. Please note, local authorities may also issue declarations or executive orders that are more restrictive in nature. This information is not included on this layer. Information is assessed regularly by ASTHO staff for relevance to state/territorial health officials’ priorities in their COVID-19 response. Updates to the map will occur periodically.Data Definitions:Elective Medical Procedures Guidance - Health agencies that have issued guidance on elective medical procedures to meet COVID-19 response needs.Terms of Use:If you plan to use this map to advance your own research or to disseminate the information we’ve presented here, please reference the below data citation, using DataCite’s format for citing.ASTHO. March 31, 2020. Elective Medical Procedures Guidance. Esri ArcGIS Layer. https://www.astho.org/COVID-19/.Originally published March 23, 2020 on https://www.astho.org/COVID-19/Workbook details: 1 attribute table in ArcGisOriginal author: ASTHO

Carteret County medical response districts

The COVID-19 Guidance Questionnaire The COVID-19 Guidance Questionnaire is published on Government website. The opinion he provides has no medical value: its goal is to direct the respondent according to his or her health and symptoms towards the right behavior to adopt. The algorithm used to propose guidance is in line with documentation published by the Ministry of Solidarity and Health, which reference also other solutions that comply with it. ### Data from the COVID-19 Guidance Questionnaire This data is published in open data to inform about the number of times the questionnaire has been completed to the end as well as the guidance messages sent. Data are grouped by week, department and age group. For each week/department/age class are indicated the number of responses obtained, the number of referrals to the UAS, the number of referrals to a consultation, and the number of messages indicating that the respondent should stay at home and monitor their health. The published ‘csv’ file will be updated weekly by adding the new data. The questionnaire was offline on 27 January 2021, so data runs until 26 January 2021.

The Lake County Health Department and Community Health Center (LCHD/CHC) plays a critical role maintaining, collecting and analyzing the medical information that physicians, nurses and other health care providers rely on to deliver quality patient care. Find out how to request a copy of your medical records.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator includes adults who reported it is somewhat or very difficult to obtain needed medical care.The vast majority of adults and children in Los Angeles County have health insurance, in large part due to outreach efforts and local insurance availability for children and the expansion of insurance coverage following the passage of the federal Affordable Care Act in 2012. Despite this progress, rates of uninsured remain high in some communities. Even among people who have health insurance, many continue to experience difficulties accessing needed healthcare. Cities and community organizations can play an important role in advocating for needed services and in providing information on free or low-cost services in their communities. Hospitals can also provide medical and dental services through their community benefit programs and other community services.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This feature layer provides access to OpenStreetMap (OSM) point data of medical facilities for Africa, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer where the amenity value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity tags used for medical facilities.Zoom in to large scales (e.g. Neighborhood level or 1:20k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this medical facilities layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is hospital), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Places of Worship, Schools, and Parking) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

Geospatial data about United States Hospitals/Medical Centers. Export to CAD, GIS, PDF, CSV and access via API.

City of Pittsburgh Emergency Medical Services Districts

This dataset contains all raw and result feature classes which were used in our manuscript entitled: "Optimizing the locations of emergency medical stations for rural areas, using a GIS-based ACO-QAP method: A case study in Iran". In addition the optimization codes (ACO-QAP) related to the manuscript were shared in this dataset.