The National Emergency Medical Services Information System (NEMSIS) is the national system used to collect, store, and share data from EMS services in US states and territories. The NEMSIS uniform dataset and database help local, state and national EMS stakeholders more accurately assess EMS needs and performance, as well as support better strategic planning for the EMS systems of tomorrow. Data from NEMSIS are also used to help benchmark performance, determine the effectiveness of clinical interventions, and facilitate cost-benefit analyses. NEMSIS is a program of NHTSA’s Office of EMS and is hosted by the University of Utah.

These data are “event-based” and not “patient-based”. That is, a single patient may be represented in more than one record for a variety of reasons. A patient may request EMS assistance frequently, and therefore, be represented in the dataset more than once. In addition, several agencies may respond to the same event (i.e., one patient) and each submit a patient care record to the National EMS Database. Thus, the dataset is referred to as a registry of “EMS activations.”

The dataset does not contain information that identifies patients, EMS agencies, receiving hospitals, or reporting states. EMS events submitted by states to NEMSIS do not necessarily represent all EMS events occurring within a state. In addition, states may vary in criteria used to determine the types of EMS events submitted to the NEMSIS dataset.

NEMSIS version 3 data are available from 2017 to 2023. Version 2 data are available from 2009 to 2016 but require mapping and translation to version 3 data elements. Users are advised to open a support ticket to discuss their project if they require data from prior to 2017.

USGS Structures from The National Map consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently being collected are: School, Technical/Trade School, College/University, Fire Station/EMS Station, Law Enforcement/Police Station, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Service, Cemetery, Post Office, Campground, Trailhead, and Visitor/Information Center. 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 National Map download client allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/core-science-systems/ngp/tnm-corps/structures. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed January, 2025

The National Emergency Medical Services Information System (NEMSIS) is the national database that is used to store EMS data from the U.S. States and Territories. NEMSIS is a universal standard for how patient care information resulting from an emergency 911 call for assistance is collected. NEMSIS is a collaborative system to improve patient care through the standardization, aggregation, and utilization of point of care EMS data at a local, state and national level. NEMSIS is a product of NHTSA’s Office of EMS and in collaboration with the University of Utah is the host of the Technical Assistance Center.

Frequencies and proportion of respondents self-reporting difficulty with each task (identifying and opening), resulting coping strategies and negative impact on care related to use of medical supplies within the previous 12 months.

This dataset originates from the National EMS Information System (NEMSIS) database. This dataset has selected trauma events where ground transport was utilized and includes time and rurality elements.

Frequencies and proportion of respondents self-reporting difficulty with each task (identifying and opening), resulting coping strategies and negative impact on care related to medication use within the previous 12 months.

Objective evaluation and regulatory documents by standards.

The annual National Fire Incident Reporting System (NFIRS) Public Data Release files are provided by the U.S. Fire Administration’s (USFA) National Fire Data Center (NFDC). The NFIRS is a reporting standard that fire departments use to uniformly report on the full range of their activities, from fire to emergency medical services (EMS) to equipment involved in the response.NFIRS is the nation’s largest, national, annual database of fire incident information. NFIRS is a voluntary tool with two objectives: to help State and local governments develop fire reporting and analysis capability for their own use and to obtain data that can be used to more accurately assess and subsequently combat the fire problem at a national level.These datasets are for researchers and fire data analysts.Experience with fire data analysis and NFIRS data is recommended to properly use the NFIRS Public Data Release (PDR) datasets. Using raw NFIRS data as a count of fires and associated deaths, injuries and dollar loss is NOT a proper use of these datasets.FEMA's terms and conditions and citation requirements for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page: https://www.fema.gov/about/openfema/terms-conditions.For answers to Frequently Asked Questions (FAQs) about the OpenFEMA program, API, and publicly available datasets, please visit: https://www.fema.gov/about/openfema/faq.If you have media inquiries about this dataset, please email the FEMA Press Office at FEMA-Press-Office@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.Please note that upon clicking any of the available downloadable NFIRS Public Data Release data sets hyperlinks, an automatic download of that year's data will commence. Download times will vary depending on the size of the file and your connection. Some of the compressed zip file sizes vary from 132 MB and can range up to 822MB. If you prefer to order the NFIRS public release data on CD or DVD, please visit the USFA’s Download fire data and data analysis tools web page. Below are the data years that are currently available:CD 1980-1998 - Fire Incidents (NFIRS version 4.1)CD 1999-2003 - All IncidentsCD 2004-2019 - Fire and Hazardous Materials IncidentsDVD 2014-2019 - All Incidents

USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. 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 National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

Study Objective: Most 911 calls result in ambulance transport to an emergency department. In some cases, transport is refused or deemed unnecessary. The frequency of pediatric non-transport is unknown. Our primary objective was to describe the proportion of pediatric EMS activations resulting in non-transport. Our secondary objective was to identify patient, community, and EMS agency factors associated with pediatric non-transport. Methods: We conducted a cross-sectional study using 2019 data from the National EMS Information System registry. We compared non-transport rates for children (60 y/o) patients. We then used generalized estimating equations to identify factors associated with pediatric non-transport while accounting for geographical clustering. Results: There were 21,931,490 EMS activations, including 1,403,454 pediatric 911 responses. 30% of pediatric 911 responses resulted in non-transport. Non-transport was less likely for adults (19%, OR 0.54 [0.54, 0.55]) and elderly patients (13%, OR 0.35 [0.35, 0.36]). The most common pediatric non-transport dispositions were: refused evaluation/care, and treated/released. Non-transport was associated with: pulmonary (aOR 3.84 [3.30, 4.48]) and musculoskeletal chief complaints (aOR 3.75 [3.22, 4.36]). Non-transport was more likely for: rural EMS calls (aOR 1.28 [1.24, 1.32]); calls classified by EMS as Lower Acuity (aOR 7.88 [5.98, 10.38]); and Tribal EMS agencies (aOR 3.49 [3.09, 3.94]). Conclusion: Almost one-third of pediatric 911 activations result in non-transport. Although very few children have been included in pilots of alternate transport processes to date, non-transport is actually more common in children than adults. More work is needed to understand better the patient safety and economic implications of this practice.

description: The National Fire Incident Reporting System (NFIRS) is a reporting standard that fire departments use to uniformly report on the full range of their activities, from fire to emergency medical services (EMS) to equipment involved in the response.; abstract: The National Fire Incident Reporting System (NFIRS) is a reporting standard that fire departments use to uniformly report on the full range of their activities, from fire to emergency medical services (EMS) to equipment involved in the response.

Medical Emergency Response StructuresThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey (USGS), displays hospital 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."Data 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.Data.gov: USGS National Structures Dataset - USGS National Map Downloadable Data CollectionGeoplatform: USGS National Structures Dataset - USGS National Map Downloadable Data CollectionFor more information, please visit: The National MapFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis 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

The 2013 Fire Causes & Incident data was provided by the U.S. Fire Administration-s (USFA) National Fire Data Center-s (NFDC-s) National Fire Incident Reporting System. The National Fire Incident Reporting System (NFIRS) is a reporting standard that fire departments use to uniformly report on the full range of their activities from fire to emergency medical services (EMS) to equipment involved in the response. NFIRS is the world-s largest national annual database of fire incident information and comprises about 75 percent of all reported fires that occur annually. NFIRS is a voluntary tool

The Usability Team of the National Institute of Standards and Technology's (NIST) Public Safety Communications Research (PSCR) program works to identify issues faced by first responders surrounding the use of their existing and emerging public safety communication technology. The team conducted an exploratory, sequential, mixed-methods study to gather insights into first responders' needs for and problems experienced with communication technology. The multi-phase study included in-depth interviews with 193 first responders in Phase 1, followed by a nationwide survey of 7,182 first responders in Phase 2, across four public safety disciplines, Communication Center & 9-1-1 Services (COMMS), Emergency Medical Services (EMS), Fire Service (FF), and Law Enforcement (LE). The data consists of two datasets: (1) Phase 1 data from 193 interviews with first responders from four disciplines (COMMS, EMS, FF, LE) including direct quotes from interviewees categorized by codes/subcodes with demographic information included; (2) Phase 2 survey data from 7,182 first responders from four disciplines (COMMS, EMS, FF, LE) including their responses on what technology they have and use, along with their needs for and problems experienced with communication technology; demographic information is also included.

Last update: 08/04/2023OverviewThis polygon data was created to represent Emergency Medical Service (EMS) response areas in Utah for the Next-Generation 911 system (NG911). It depicts the primary EMS response agency for a given location in Utah and was compiled from a variety of data sources. The response areas represent a variety of service levels (paramedic, advanced EMT, with or without transport capability, etc.), but generally include 911 scene response. The data was compiled using written descriptions from the licensing database of the Bureau of Emergency Medical Services and Preparedness (BEMSP), which is part of the Utah Department of Health and Human Services' (DHHS). In some instances, the BEMSP data was incomplete or the written descriptions were inaccurate, contradictory, ambiguous, or failed to close. To make the data more complete, computer-aided dispatch (CAD) data from within the state was used to resolve conflicts, fill in gaps, and improve completeness.Field DescriptionsMost of the fields are based on the National Emergency Number Association's (NENA) Standard for NG911 GIS Data Model.More information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/society/public-safety/

Background: Immunizations for emergency medical services (EMS) professionals during pandemics are an important tool to increase the safety of the workforce as well as their patients. The purpose of this study was to better understand EMS professionals' decisions to receive or decline a COVID-19 vaccine.Methods: We conducted a cross-sectional analysis of nationally certified EMS professionals (18-85 years) in April 2021. Participants received an electronic survey asking whether they received a vaccine, why or why not, and their associated beliefs using three validated scales: perceived risk of COVID-19, medical mistrust, and confidence in the COVID-19 vaccine. Data were merged with National Registry dataset demographics. Analyses included descriptive analysis and multivariable logistic regression (OR, 95% CI). Multivariate imputation by chained equations was used for missingness.Results: A total of 2,584 respondents satisfied inclusion criteria (response rate = 14%). Overall, 70% of EMS professionals were vaccinated. Common reasons for vaccination among vaccinated respondents were to protect oneself (76%) and others (73%). Common reasons for non-vaccination among non-vaccinated respondents included concerns about vaccine safety (53%) and beliefs that vaccination was not necessary (39%). Most who had not received the vaccine did not plan to get it in the future (84%). Hesitation was most frequently related to wanting to see how the vaccine was working for others (55%). Odds of COVID-19 vaccination were associated with demographics including age (referent <28 years; 39-50 years: 1.56, 1.17-2.08; >51 years: 2.22, 1.64-3.01), male sex (1.26, 1.01-1.58), residing in an urban/suburban area (referent rural; 1.36, 1.08-1.70), advanced education (referent GED/high school and below; bachelor's and above: 1.72, 1.19-2.47), and working at a hospital (referent fire-based agency; 1.53, 1.04-2.24). Additionally, vaccination odds were significantly higher with greater perceived risk of COVID-19 (2.05, 1.68-2.50), and higher vaccine confidence (2.84, 2.40-3.36). Odds of vaccination were significantly lower with higher medical mistrust (0.54, 0.46-0.63).Conclusion: Despite vaccine availability, not all EMS professionals had been vaccinated. The decision to receive a COVID-19 vaccine was associated with demographics, beliefs regarding COVID-19 and the vaccine, and medical mistrust. Efforts to increase COVID-19 vaccination rates should emphasize the safety and efficacy of vaccines.

Univariable and multivariable regression analysis for difficulty opening medical supplies.

Oman Mail Traffic: Internal: EMS Traffic data was reported at 62,384.000 Unit in 2017. This records an increase from the previous number of 9,973.000 Unit for 2016. Oman Mail Traffic: Internal: EMS Traffic data is updated yearly, averaging 2,743.000 Unit from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 62,384.000 Unit in 2017 and a record low of 127.000 Unit in 1999. Oman Mail Traffic: Internal: EMS Traffic data remains active status in CEIC and is reported by National Center for Statistics and Information. The data is categorized under Global Database’s Oman – Table OM.TB006: Mail Traffic.

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

Superseded by 'Connecticut Fire Department Incidents (2012-2015)', which is found here: https://data.ct.gov/Public-Safety/Connecticut-Fire-Department-Incidents-2012-2015-/qem9-rt8k

Incidents reported by Connecticut fire departments on the full range of their activities, from fire to emergency medical services (EMS) to equipment involved in the response. See the attached documents, under the 'About' tab, for more information.