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.

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

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 Texas Department of Insurance (TDI) collects and reports information about billing rates for emergency service providers by procedure code as set by the political subdivisions. The procedure codes include Healthcare Common Procedure Coding System (HCPCS) Codes and any other codes reported by the political subdivisions. This dataset lists the codes and the rates for residents of that political subdivision and for non-residents if that rate differs. There is a row for each procedure code and the rates set by a political subdivision. Political subdivisions with more than one code with a rate set will be listed in multiple rows. The data includes the year and quarter the information applies to as well as the date the political subdivision submitted their report. The Texas Legislature amended Texas Insurance Code Chapter 38 via Senate Bill 2476 during the 88th session to add reporting “relating to consumer protections against certain medical and health care billing by emergency medical services providers. A political subdivision may submit to the department a rate set, controlled, or regulated by the political subdivision for emergency services.” ► For contact information, refer to dataset:  Emergency Services Billing Rates - Contact List. ► For National Provider Identifier Standard (NPI) information reported in each political subdivision, refer to dataset: Emergency Services Billing Rates - NPI. ► For ZIP codes within political subdivisions, refer to dataset:  Emergency Services Billing Rates - ZIPs. Users are responsible for reviewing and updating data before the submission deadlines. Information entered or found in this dataset is subject to change. Visit TDI’s web site disclaimer for more information. For more information related to this data, visit TDI’s FAQ page.

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/

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

The Disaster Emergency Medical Personnel System (DEMPS) is the Veterans Health Administrations main deployment program for clinical and non-clinical staff to an emergency or disaster. The DEMPS Program may be used for an internal VA mission, as well as supporting a mission after a Presidential Disaster Declaration under the National Response Frameworks Emergency Support Function #8 (Public Health and Medical Services). Interested, qualified VHA staff can apply online by submitting a DEMPS Application. DEMPS Coordinators and Administrators can manage volunteer data by accessing DEMPS Administration.The DEMPS Program is made up of the following entities:The DEMPS Volunteers (Full-time VHA employee, or Retiree Emergency Reserve Corps Volunteer (ERC)) VAMC DEMPS Coordinator DEMPS VAMC Facility Support Staff (Fiscal, Payroll, and Travel) DEMPS VISN Points of Contact DEMPS National Program Manager VHA Office of Emergency Management staff (Area Emergency Managers, and Regional Emergency Managers) Deputy Under Secretary for Health for Operations and Management, and The DEMPS database. In order for DEMPS to work successfully, all eight entities above must work together to deploy the DEMPS Volunteer to an emergency or disaster site.The DEMPS database was developed to collect specific information on full-time VHA medical personnel (clinical and non-clinical) and Retiree Emergency Reserve Corps (ERC) Volunteers who have volunteered and been approved by their Medical Center Director to be deployed (full-time staff or ERC Volunteers) in the event of a disaster, or to back fill a medical center (ERC Volunteers). When disasters such as hurricanes, earthquakes, floods, etc., occur and the state and local resources to handle the response/recovery process are overwhelmed, the state in which the disaster occurs may request federal assistance. In this case, a Presidential Disaster Declaration is issued and the National Response Framework (NRF) is activated. Once the damage to the area and needs have been assessed, and it is determined that medical resources are required, the Federal Emergency Management Agency (FEMA) or the Department of Health and Human Services (HHS) may task VA to provide these resources. Generally, these requests are for medical personnel (nurses, physicians, pharmacists, etc.), pharmaceutical (or other medical) supplies, and medical equipment. However, depending on the mission, VHA may deploy non-clinical staff to support the infrastructure of the deployment.

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

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.

description: 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. 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, College/University, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Services, Cemetery, and Post Office. 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 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://nationalmap.gov/structures.html.; abstract: 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. 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, College/University, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, State Capitol, Hospital/Medical Center, Ambulance Services, Cemetery, and Post Office. 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 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://nationalmap.gov/structures.html.

Information on the quality of care delivered by ambulance services, including the response times of ambulance crews, and the re-contact and call abandonment rates of patients

Source agency: NHS England

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Ambulance System Indicators

HSIP Local Emergency Operations Centers in the United States "The physical location at which the coordination of information and resources to support domestic incident management activities normally takes place. An Emergency Operations Center may be a temporary facility or may be located in a more central or permanently established facility, perhaps at a higher level of organization within a jurisdiction. Emergency Operations Centers may be organized by major functional disciplines (e.g., fire, law enforcement, and medical services), by jurisdiction (e.g., Federal, State, regional, county, city, tribal), or some combination thereof." (Excerpted from the National Incident Management System) The GFI source for this layer contains State and Federal Emergency Operations Centers in addition to local Emergency Operations Centers. This dataset contains these features as well. In cases where an Emergency Operations Center has a mobile unit, TechniGraphics captured the location of the mobile unit as a separate record. This record represents where the mobile unit is stored. If this location could not be verified, a point was placed in the approximate center of the Emergency Operations Centers service area. Effort was made by TechniGraphics to verify whether or not each Emergency Operations Center has a generator on-site and whether or not the Emergency Operations Center is located in a basement. This information is indicated by the values in the [GENERATOR] and [BASEMENT] fields respectively. In cases where more than one record existed for a geographical area (e.g., county, city), TechniGraphics verified whether or not one of the records represented an alternate location. This was indicated by appending "-ALTERNATE" to the value in the [NAME] field. Some Emergency Operations Centers are located at private residences. The [TYPE] field was manually evaluated during the delivery process to compare the records in which the [NAME] field contained "-ALTERNATE". In cases where these values contradicted information that was verified by TechniGraphics (e.g. [NAME] contained "-ALTERNATE" and [TYPE] = "PRIMARY"), the value in the [TYPE] field was changed to match the type indicated by the [NAME] of the verified record. TechniGraphics did not change values in this field if the type was not verified. 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. "#" and "*" characters were automatically removed from standard HSIP fields that TechniGraphics populated. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this attribute, the oldest record dates from 08/28/2009 and the newest record dates from 11/18/2009.

This dataset presents the footprint of the number and rate of emergency department presentations in public hospitals by patient location. Mental health-related emergency department (ED) presentations are defined as presentations to public hospital EDs that have a principal diagnosis of mental and behavioural disorders. However, the definition does not fully capture all potential mental health-related presentations to EDs such as intentional self-harm, as intent can be difficult to identify in an ED environment and can also be difficult to code. The data spans the financial years of 2014-2018 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). State and territory health authorities collect a core set of nationally comparable information on most public hospital ED presentations in their jurisdiction, which is compiled annually into the National Non-Admitted Patient Emergency Department Care Database (NNAPEDCD). The data reported for 2014–15 to 2017–18 is sourced from the NNAPEDCD. Information about mental health-related services provided in EDs prior to 2014–15 was supplied directly to the Australian Institute of Health and Welfare (AIHW) by states and territories. Mental health services in Australia (MHSA) provides a picture of the national response of the health and welfare service system to the mental health care needs of Australians. MHSA is updated progressively throughout each year as data becomes available. The data accompanies the Mental Health Services - In Brief 2018 Web Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Mental health services in Australia Data Tables. Please note: AURIN has spatially enabled the original data.

HSIP Local Emergency Operations Centers in the United States "The physical location at which the coordination of information and resources to support domestic incident management activities normally takes place. An Emergency Operations Center may be a temporary facility or may be located in a more central or permanently established facility, perhaps at a higher level of organization within a jurisdiction. Emergency Operations Centers may be organized by major functional disciplines (e.g., fire, law enforcement, and medical services), by jurisdiction (e.g., Federal, State, regional, county, city, tribal), or some combination thereof." (Excerpted from the National Incident Management System) The GFI source for this layer contains State and Federal Emergency Operations Centers in addition to local Emergency Operations Centers. This dataset contains these features as well. In cases where an Emergency Operations Center has a mobile unit, TechniGraphics captured the location of the mobile unit as a separate record. This record represents where the mobile unit is stored. If this location could not be verified, a point was placed in the approximate center of the Emergency Operations Centers service area. Effort was made by TechniGraphics to verify whether or not each Emergency Operations Center has a generator on-site and whether or not the Emergency Operations Center is located in a basement. This information is indicated by the values in the [GENERATOR] and [BASEMENT] fields respectively. In cases where more than one record existed for a geographical area (e.g., county, city), TechniGraphics verified whether or not one of the records represented an alternate location. This was indicated by appending "-ALTERNATE" to the value in the [NAME] field. Some Emergency Operations Centers are located at private residences. The [TYPE] field was manually evaluated during the delivery process to compare the records in which the [NAME] field contained "-ALTERNATE". In cases where these values contradicted information that was verified by TechniGraphics (e.g. [NAME] contained "-ALTERNATE" and [TYPE] = "PRIMARY"), the value in the [TYPE] field was changed to match the type indicated by the [NAME] of the verified record. TechniGraphics did not change values in this field if the type was not verified. 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. "#" and "*" characters were automatically removed from standard HSIP fields that TechniGraphics populated. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this attribute, the oldest record dates from 08/28/2009 and the newest record dates from 11/18/2009.Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. A resource for preparing, mitigating, responding to and recovering from an emergency. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.

Directly age and sex standardised rate of emergency admissions for alcohol related liver disease in adults aged 19 years and older, per 100,000 registered patients, 95% confidence intervals. As of the March 2020 release, the data included in the December 2019 publication for the 2018/19, July 2018 to June 2019 (Provisional) and October 2018 to September 2019 (Provisional) data periods has been revised. This is due to a revision of a large proportion of records for East Sussex Healthcare NHS Trust (RXC) which had missing information for the condition the patient was in hospital for and other conditions the patients suffer from. The revised data for these reporting periods also differs from that originally published in December 2019 in that the HES database is routinely updated (overwritten) on a monthly basis for the year in progress. Data for the two provisional periods remain provisional, but is now more complete than it was when the December 2019 publication was released. This effect cannot be readily separated from the effect of the East Sussex Healthcare NHS Trust (RXC) resubmission which also took place after processing for the December 2019 publication. Legacy unique identifier: P01807

This dataset contains Connecticut Fire Department Incidents as reported to the National Fire Department Incident Reporting System (NFIRS). Note that some years have far more entries than other years. In particular, they detail "False Alarm and False Calls" and "Rescue and Emergency Medical Service (EMS) Incidents" NFIRS collects details on Fire, HazMat and EMS incidences nationwide, detailing the type of incident, where it occurred, the resources used to mitigate it and more, with a goal of understanding the nature and causes of the incidents. Information is also collected on the number of civilian or firefighter casualties and an estimate of property loss. Participation in NFIRS is voluntary. Data is released yearly, with a considerable delay. Each Incidence is assigned a 3 digit Incidence Type Code. The code describes the situation emergency personnel found when they arrived. Incidence Types are grouped into larger categories, called Series. For example, Series 400, 'Hazardous Condition' category includes incidence types: 411, 'Gasoline or other flammable liquid spill; 412, 'Gas leak and 413, 'Oil or other combustible liquid spill '. Not every Incidence Type is included in the data. In 2012, 2013, 2014 and 2015, the NFIRS data releases contained these Series/Incidence Types: Series 100: Fire Incidences, Series 400: Hazardous Condition (No Fire), Incidence Type 561: Unauthorized burning, under the 'Service Call' Series, Incidence Type 631: Authorized Controlled Burning, under the 'Good Intent Call' series and Incidence Type 632: Prescribed fires also under the 'Good Intent Call' series. The 2014 and 2016 releases included these additional series: 200: Overpressure Rupture, Explosion, Overheat (No Fire), 300: Rescue and Emergency Medical Service (EMS) Incidents, 500: Service Calls, 600: Good Intent Call Series, 700: False Alarm and False Call, 800 Severe Weather and Natural Disaster 900: Special Incident Type. The official NFIRS documentation has been attached to this dataset. This dataset does not contain all the detail available in the NFIRS database. If after reviewing the documentation, you find additional information you would like added to the dataset, please let us know.

OP&R organizes and prepares for public health and medical emergencies through statewide partnerships with public, private and government agencies to coordinate an effective emergency response for the health and safety of all residents of Maryland.The Office of Preparedness and Response is responsible for staffing the Maryland Department of Health & Mental Hygiene (DHMH) Command Center during a significant public health event such as pandemic, natural disaster, act of terrorism or any incident that requires the coordination of state level health department resources. All staff are trained in the National Incident Management System (NIMS) and Incident Command System (ICS). The DHMH Command Center coordinates the state health department response to an incident in collaboration with the MEMA's Emergency Operations Center and other state agencies.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/Health/MD_LongTermCareAssistedLiving/FeatureServer/2

This dataset includes aggregated weekly data on the percent of emergency department visits and the percent of hospital inpatient admissions due to influenza-like illness (ILI), COVID-19, influenza, RSV, and acute respiratory illness. The Illinois Department of Public Health (IDPH) collects data for Emergency Department visits to all 185 acute care hospitals in Illinois. The data are submitted from IDPH to the CDC’s BioSense Platform for access and analysis by health departments via the ESSENCE system. The CDC National Syndromic Surveillance Program (NSSP) utilizes diagnostic codes and clinical terms to create definitions for diagnosed COVID-19, influenza, RSV, and acute respiratory illness. For more information on diagnostic codes and clinical terms used, visit: https://www.cdc.gov/nssp/php/onboarding-resources/companion-guide-ed-data-respiratory-illness.html The data is characterized by selected demographic groups including age group and race/ethnicity. The dataset also includes percent of weekly outpatient visits due to ILI as reported by several outpatient clinics throughout Chicago that participate in CDC’s Influenza-like Illness Surveillance Network (ILINet). For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance For more information on ILINet, see https://www.cdc.gov/fluview/overview/index.html#cdc_generic_section_3-outpatient-illness-surveillance All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

Background

The large volume of patients, rapid staff turnover and high work pressure means that the usability of all systems within the Emergency Department (ED) is important. The transition to electronic health records (EHRs) has brought many benefits to emergency care but imposes a significant burden on staff to enter data. Poor usability has a direct consequence and opportunity cost in staff time and resources that could otherwise be employed in patient care. This research measures the usability of EHR systems in UK EDs using a validated assessment tool.

Methods

This was a survey completed by members and fellows of the Royal College of Emergency Medicine conducted during summer 2019. The primary outcome was the System Usability Scale score, which ranges from 0 (worst) to 100 (best). Scores were compared to an internationally recognised measure of acceptable usability of 68. Results were analysed by EHR system, country, healthcare organisation and physician grade. Only EHR systems with at least 20 responses were analysed.

Results

There were 1,647 responses from a total population of 8,794 (19%) representing 192 healthcare organisations (mainly UK National Health Service), and 25 EHR systems. Fifteen EHR systems had at least 20 responses and were included in the analysis. No EHR system achieved a median usability score that met the industry standard of acceptable usability.

The median usability score was 53 (interquartile range [IQR] 35 – 68). Individual EHR systems' scores ranged from 35 (IQR 26 to 53) to 65 (IQR 44 to 80).

Conclusion

In this survey, no UK ED EHR system met the internationally validated standard of acceptable usability for information technology. Better usability of emergency department EHRs is a cheap and effective way of increasing staff productivity.

NOTE: This dataset is no longer being updated but is being kept for historical reference. For current data on respiratory illness visits and respiratory laboratory testing data please see Influenza, COVID-19, RSV, and Other Respiratory Virus Laboratory Surveillance and Inpatient, Emergency Department, and Outpatient Visits for Respiratory Illnesses.

This is the place to look for important information about how to use this dataset, so please expand this box and read on!

This is the source data for some of the metrics available at https://www.chicago.gov/city/en/sites/covid-19/home/reopening-chicago.html#reopeningmetrics.

For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=covid-19.

The National Syndromic Surveillance Program (NSSP), a collaboration among CDC, federal partners, local and state health departments, and academic and private sector partners, is used to capture information during an Emergency Department (ED) visit. ED data can include information that are collected before cases are diagnosed or laboratory results are confirmed, providing an early warning system for infections, like COVID-19.

This dataset includes reports of COVID-19-Like illness (CLI) and COVID-19 diagnosed during an ED visit. CLI is defined as fever and cough or shortness of breath or difficulty breathing with or without the presence of a coronavirus diagnosis code. Visits meeting the CLI definition that also have mention of flu or influenza are excluded.

This dataset also includes ED visits among persons who have been diagnosed or laboratory confirmed to have COVID-19. During the initial months of the COVID-19 pandemic COVID-19 diagnoses counts are artificially low, due to varying eligibility requirements and availability of testing.

Over the course of the COVID-19 pandemic, public health best practices migrated from focusing on CLI to focusing on diagnosed cases. This dataset originally contained only CLI columns. In June 2021, the diagnosis columns were added, back filled to the start of the pandemic but with the caveat noted above. Roughly simultaneously, updating of the CLI columns was discontinued, although previously existing data were kept. Reflecting the new columns, the name of the dataset was changed from “COVID-Like Illness (CLI) Emergency Department Visits” to “COVID-Like Illness (CLI) and COVID-19 Diagnosis Emergency Department Visits” at the same time.

Data Source: Illinois Hospital Emergency Departments reporting to CDPH through the National Syndromic Surveillance Project (NSSP)