89 datasets found
  1. HCUP State Inpatient Databases (SID) - Restricted Access File

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Jul 29, 2025
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2025). HCUP State Inpatient Databases (SID) - Restricted Access File [Dataset]. https://catalog.data.gov/dataset/hcup-state-inpatient-databases-sid-restricted-access-file
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    Dataset updated
    Jul 29, 2025
    Description

    The Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) are a set of hospital databases that contain the universe of hospital inpatient discharge abstracts from data organizations in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SID are based on data from short term, acute care, nonfederal hospitals. Some States include discharges from specialty facilities, such as acute psychiatric hospitals. The SID include all patients, regardless of payer and contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels. The SID contain clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SID, some include State-specific data elements. The SID exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and county-level data from the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers. Restricted access data files are available with a data use agreement and brief online security training.

  2. HCUP State Inpatient Databases

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    United States - Agency for Healthcare Research and Quality (AHRQ) (2024). HCUP State Inpatient Databases [Dataset]. https://datacatalog.med.nyu.edu/dataset/10015
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    United States - Agency for Healthcare Research and Quality (AHRQ)
    Time period covered
    Jan 1, 1990 - Present
    Area covered
    Oregon, Kentucky, Kansas, Hawaii, West Virginia, Alaska, Iowa, South Carolina, Massachusetts, Arkansas
    Description

    The State Inpatient Databases (SID) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID are a set of hospital databases containing the universe of the inpatient discharge abstracts from participating States, translated into a uniform format to facilitate multi-State comparisons and analyses. The SID can be used to investigate questions and identify trends unique to one state, to compare data from two or more states, and to conduct market area research or small area variation analyses. Data may not be available for all states across all years.

  3. HCUP State Inpatient Databases (SID) - Restricted Access File - 5uar-a53p -...

    • healthdata.gov
    application/rdfxml +5
    Updated Feb 24, 2025
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    (2025). HCUP State Inpatient Databases (SID) - Restricted Access File - 5uar-a53p - Archive Repository [Dataset]. https://healthdata.gov/dataset/HCUP-State-Inpatient-Databases-SID-Restricted-Acce/pn67-sypg
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    application/rdfxml, json, tsv, csv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Feb 24, 2025
    Description

    This dataset tracks the updates made on the dataset "HCUP State Inpatient Databases (SID) - Restricted Access File" as a repository for previous versions of the data and metadata.

  4. HCUP California

    • redivis.com
    application/jsonl +7
    Updated May 20, 2020
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    Stanford Center for Population Health Sciences (2020). HCUP California [Dataset]. http://doi.org/10.57761/krfh-m184
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    stata, application/jsonl, parquet, arrow, sas, spss, avro, csvAvailable download formats
    Dataset updated
    May 20, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 2008 - Dec 31, 2011
    Area covered
    California
    Description

    Abstract

    The State Ambulatory Surgery Databases (SASD), State Inpatient Databases (SID), and State Emergency Department Databases (SEDD) are part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP).

    HCUP's state-specific databases can be used to investigate state-specific and multi-state trends in health care utilization, access, charges, quality, and outcomes. PHS has several years (2008-2011) and datasets (SASSD, SED and SIDD) for HCUP California available.

    Usage

    The State Ambulatory Surgery and Services Databases (SASD) are State-specific files that include data for ambulatory surgery and other outpatient services from hospital-owned facilities. In addition, some States provide ambulatory surgery and outpatient services from nonhospital-owned facilities. The uniform format of the SASD helps facilitate cross-State comparisons. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within geographic areas or States.

    The State Inpatient Databases (SID) are State-specific files that contain all inpatient care records in participating states. Together, the SID encompass more than 95 percent of all U.S. hospital discharges. The uniform format of the SID helps facilitate cross-state comparisons. In addition, the SID are well suited for research that requires complete enumeration of hospitals and discharges within geographic areas or states.

    The State Emergency Department Databases (SEDD) are a set of longitudinal State-specific emergency department (ED) databases included in the HCUP family. The SEDD capture discharge information on all emergency department visits that do not result in an admission. Information on patients seen in the emergency room and then admitted to the hospital is included in the State Inpatient Databases (SID)

    SASD, SID, and SEDD each have **Documentation **which includes:

    • Description of the Database
    • Restrictions on Use
    • File Specifications and Load Program
    • Data Elements
    • Additional Resources for Data Elements
    • ICD-10-CM/PCS Data Included in the Dataset Starting with 2015
    • Known Data Issues
    • HCUP Tools: Labels and Formats
    • HCUP Supplemental Files
    • Obtaining HCUP Data

    %3C!-- --%3E

    Before Manuscript Submission

    All manuscripts (and other items you'd like to publish) must be submitted to

    phsdatacore@stanford.edu for approval prior to journal submission.

    We will check your cell sizes and citations.

    For more information about how to cite PHS and PHS datasets, please visit:

    https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

    Documentation

    The HCUP California inpatient files were constructed from the confidential files received from the Office of Statewide Health Planning and Development (OSHPD). OSHPD excluded inpatient stays that, after processing by OSHPD, did not contain a complete and “in-range” admission date or discharge date. California also excluded inpatient stays that had an unknown or missing date of birth. OSHPD removes ICD-9-CM and ICD-10-CM diagnoses codes for HIV test results. Beginning with 2009 data, OSHPD changed regulations to require hospitals to report all external cause of injury diagnosis codes including those specific to medical misadventures. Prior to 2009, OSHPD did not require collection of diagnosis codes identifying medical misadventures.

    **Types of Facilities Included in the Files Provided to HCUP by the Partner **

    California supplied discharge data for inpatient stays in general acute care hospitals, acute psychiatric hospitals, chemical dependency recovery hospitals, psychiatric health facilities, and state operated hospitals. A comparison of the number of hospitals included in the SID and the number of hospitals reported in the AHA Annual Survey is available starting in data year 2010. Hospitals do not always report data for a full calendar year. Some hospitals open or close during the year; other hospitals have technical problems that prevent them from reporting data for all months in a year.

    **Inclusion of Stays in Special Units **

    Included with the general acute care stays are stays in skilled nursing, intermediate care, rehabilitation, alcohol/chemical dependency treatment, and psychiatric units of hospitals in California. How the stays in these different types of units can be identified differs by data year. Beginning in 2006, the information is retained in the HCUP variable HOSPITALUNIT. Reliability of this indicator for the level of care depends on how it was assigned by the hospital. For data years 1998-2006, the information was retained in the HCUP variable LEVELCARE. Prior to 1998, the first

  5. Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Jul 25, 2025
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2025). Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables [Dataset]. https://catalog.data.gov/dataset/healthcare-cost-and-utilization-project-hcup-summary-trends-tables
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    Dataset updated
    Jul 25, 2025
    Description

    The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD. The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics: Overview of monthly trends in inpatient and emergency department utilization All inpatient encounter types Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions Emergency department treat-and-release visits Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Description of the data source, methodology, and clinical criteria

  6. u

    Nationwide Readmissions Database

    • datacatalog.hshsl.umaryland.edu
    Updated Apr 28, 2021
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    (2021). Nationwide Readmissions Database [Dataset]. https://datacatalog.hshsl.umaryland.edu/search?keyword=subject_domain:Patient%20Readmission
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    Dataset updated
    Apr 28, 2021
    Description

    The Nationwide Readmissions Database is part of the Healthcare Cost and Utilization Project (HCUP) family of databases. The NRD is derived from the HCUP State Inpatient Databases (SID), and aims to provide nationally represenative data to support hospital readmission analyses. The NRD includes all-payer inpatient discharges from HCUP partner community hospitals in the SID which have verifiable patient linkage numbers. These synthetic linkage numbers allow analysts to track patients across hospital stays, while maintaining patient privacy. The NRD contains over 14 million discharge records per data year from about 85% of SID discharges from participating states. The 122 data elements in the NRD include diagnostic and procedure codes, and hospital characteristics. The data cannot be used to track readmissions across states or across data years or used for state-, facility-, or physician-level analyses.

  7. HCUP State Emergency Department Databases

    • datacatalog.med.nyu.edu
    Updated Mar 22, 2024
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    United States - Agency for Healthcare Research and Quality (AHRQ) (2024). HCUP State Emergency Department Databases [Dataset]. https://datacatalog.med.nyu.edu/dataset/10017
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    United States - Agency for Healthcare Research and Quality (AHRQ)
    Time period covered
    Jan 1, 1999 - Present
    Area covered
    Massachusetts, Iowa, Kentucky, Arkansas, Oregon, Nevada, Georgia, Maine, North Carolina, Wisconsin
    Description

    The State Emergency Department Databases (SEDD) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SEDD are a set of databases that capture discharge information on all emergency department visits that do not result in an admission. The SEDD combined with SID discharges that originate in the emergency department are well suited for research and policy questions that require complete enumeration of hospital-based emergency departments within market areas or states. Data may not be available for all states across all years.

  8. HCUP Visualization of Inpatient Trends in COVID-19 and Other Conditions

    • s.cnmilf.com
    • data.virginia.gov
    • +2more
    Updated Jul 26, 2023
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2023). HCUP Visualization of Inpatient Trends in COVID-19 and Other Conditions [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/hcup-visualization-of-inpatient-trends-in-covid-19-and-other-conditions
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    Dataset updated
    Jul 26, 2023
    Description

    The HCUP Visualization of Inpatient Trends in COVID-19 and Other Conditions displays State-specific monthly trends in inpatient stays related to COVID-19 and other conditions, and facilitates comparisons of the number of hospital discharges, the average length of stays, and in-hospital mortality rates across patient/stay characteristics and States. This information is based on the HCUP State Inpatient Databases (SID), starting with 2018 data, plus newer annual and quarterly inpatient data, if and when available.

  9. Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables

    • data.virginia.gov
    html
    Updated Jul 25, 2023
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2023). Healthcare Cost and Utilization Project (HCUP) Summary Trends Tables [Dataset]. https://data.virginia.gov/dataset/healthcare-cost-and-utilization-project-hcup-summary-trends-tables
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    htmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD.

    The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics:

  10. Overview of monthly trends in inpatient and emergency department utilization
  11. All inpatient encounter types
  12. Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection
  13. Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays
  14. Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions
  15. Emergency department treat-and-release visits
  16. Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection
  17. Description of the data source, methodology, and clinical criteria

  • Colorado HCUP

    • redivis.com
    application/jsonl +7
    Updated Jun 10, 2025
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    Libraries Research Data Services HCUP SID & SEDD State Data (2025). Colorado HCUP [Dataset]. http://doi.org/10.57783/tasx-sk89
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    csv, arrow, application/jsonl, avro, sas, spss, stata, parquetAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Libraries Research Data Services HCUP SID & SEDD State Data
    Area covered
    Colorado
    Description

    This dataset was created by cul_hcup on Tue, 10 Jun 2025 13:39:48 GMT.

  • HCUP Nationwide Readmissions Database (NRD)- Restricted Access Files

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jul 26, 2023
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2023). HCUP Nationwide Readmissions Database (NRD)- Restricted Access Files [Dataset]. https://catalog.data.gov/dataset/healthcare-cost-and-utilization-project-nationwide-readmissions-database-nrd
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    Dataset updated
    Jul 26, 2023
    Description

    The Healthcare Cost and Utilization Project (HCUP) Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the uninsured. The NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related. The criteria to determine the relationship between hospital admissions is left to the analyst using the NRD. This database addresses a large gap in health care data - the lack of nationally representative information on hospital readmissions for all ages. Outcomes of interest include national readmission rates, reasons for returning to the hospital for care, and the hospital costs for discharges with and without readmissions. Unweighted, the NRD contains data from approximately 18 million discharges each year. Weighted, it estimates roughly 35 million discharges. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The NRD is drawn from HCUP State Inpatient Databases (SID) containing verified patient linkage numbers that can be used to track a person across hospitals within a State, while adhering to strict privacy guidelines. The NRD is not designed to support regional, State-, or hospital-specific readmission analyses. The NRD contains more than 100 clinical and non-clinical data elements provided in a hospital discharge abstract. Data elements include but are not limited to: diagnoses, procedures, patient demographics (e.g., sex, age), expected source of payer, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge, discharge month, quarter, and year, total charges, length of stay, and data elements essential to readmission analyses. The NIS excludes data elements that could directly or indirectly identify individuals. Restricted access data files are available with a data use agreement and brief online security training.

  • Florida HCUP

    • redivis.com
    application/jsonl +7
    Updated Jun 9, 2025
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    Libraries Research Data Services HCUP SID & SEDD State Data (2025). Florida HCUP [Dataset]. http://doi.org/10.57783/1mt1-q330
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    stata, application/jsonl, spss, arrow, parquet, avro, csv, sasAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Libraries Research Data Services HCUP SID & SEDD State Data
    Area covered
    Florida
    Description

    This dataset was created by cul_hcup on Mon, 10 Apr 2023 19:14:12 GMT.

  • n

    Hospital Admission Data from the Agency for HealthCare Research and Quality...

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). Hospital Admission Data from the Agency for HealthCare Research and Quality (AHRQ) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214136020-SCIOPS
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1970 - Present
    Description

    The Agency for Healthcare Research and Quality (AHRQ, formerly the Agency for Health Care Policy and Research) maintains the Healthcare Cost and Utilization Project (HCUP). HCUP is a Federal-State-industry partnership to build a standardized, multi-State health data system. AHRQ has taken the lead in developing HCUP databases, Web-based products, and software tools and making them available for restricted access public release.

    HCUP comprises a family of administrative longitudinal databases-including State-specific hospital-discharge databases and a national sample of discharges from community hospitals.

    HCUP databases contain patient-level information compiled in a uniform format with privacy protections in place. * The Nationwide Inpatient Sample (NIS) includes inpatient data from a national sample (about 20% of U.S. community hospitals) including roughly 7 million discharges from about 1,000 hospitals. It is the largest all-payer inpatient database in the U.S.; data are now available from 1988-1998. The NIS is ideal for developing national estimates, for analyzing national trends, and for research that requires a large sample size. * The State Inpatient Databases (SID) cover individual data sets in community hospitals from 22 participating States that represent more than half of all U.S. hospital discharges. The data have been translated into a uniform format to facilitate cross-State comparisons. The SID are particularly well-suited for policy inquiries unique to a specific State, studies comparing two or more States, market area research, and small area variation analyses.

    • The State Ambulatory Surgery Databases (SASD) contain data from ambulatory care encounters in 9 participating States. The SASD capture surgeries performed on the same day in which patients are admitted and released form hospital- affiliated ambulatory surgery sites. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within market areas and States.
    • The project's newest restricted access public release is the Kids' Inpatient Database (KID), containing hospital inpatient stays for children 18 years of age and younger. Researchers and policymakers can use the KID to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. The KID is the only all-payer inpatient care database for children in the U.S. It contains data from approximately 1.9 million hospital discharges for children. The data are drawn from 22 HCUP 1997 State Inpatient Databases and include a sample of pediatric general discharges from over 2,500 U.S. community hospitals (defined as short-term, non-Federal, general and specialty hospitals, excluding hospital units of other institutions). A key strength of the KID is that the large sample size enables analyses of both common and rare conditions; uncommon treatments, and organ transplantation. The KID also includes charge information on all patients, regardless of payer, including children covered by Medicaid, private insurance, and the uninsured.

      HCUP also contains powerful, user-friendly software that can be used with both HCUP data and with other administrative databases. The AHRQ has developed three powerful software tools Quality Indicators (QIs), Clinical Classification Software (CCS) and HCUPnet. See more on the agency's webpages.

  • HCUP Nationwide Emergency Department Database (NEDS) Restricted Access File

    • s.cnmilf.com
    • healthdata.gov
    • +2more
    Updated Jul 26, 2023
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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2023). HCUP Nationwide Emergency Department Database (NEDS) Restricted Access File [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/hcup-nationwide-emergency-department-database-neds-restricted-access-file
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    Dataset updated
    Jul 26, 2023
    Description

    The Healthcare Cost and Utilization Project (HCUP) Nationwide Emergency Department Sample (NEDS) is the largest all-payer emergency department (ED) database in the United States. yielding national estimates of hospital-owned ED visits. Unweighted, it contains data from over 30 million ED visits each year. Weighted, it estimates roughly 145 million ED visits nationally. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. Sampled from the HCUP State Inpatient Databases (SID) and State Emergency Department Databases (SEDD), the HCUP NEDS can be used to create national and regional estimates of ED care. The SID contain information on patients initially seen in the ED and subsequently admitted to the same hospital. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The NEDS contain information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 85% of patients, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.Restricted access data files are available with a data use agreement and brief online security training.

  • AHRQ Healthcare Cost and Utilization Project

    • openicpsr.org
    Updated Feb 21, 2025
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    AHRQ (2025). AHRQ Healthcare Cost and Utilization Project [Dataset]. http://doi.org/10.3886/E220328V2
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    AHRQ
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary Trend TablesThe HCUP Summary Trend Tables include information on hospital utilization derived from the HCUP State Inpatient Databases (SID), State Emergency Department Databases (SEDD), National Inpatient Sample (NIS), and Nationwide Emergency Department Sample (NEDS). State statistics are displayed by discharge month and national and regional statistics are displayed by discharge quarter. Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD.The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics:Overview of trends in inpatient and emergency department utilizationAll inpatient encounter typesInpatient encounter typeNormal newbornsDeliveriesNon-elective inpatient stays, admitted through the EDNon-elective inpatient stays, not admitted through the EDElective inpatient staysInpatient service lineMaternal and neonatal conditionsMental health and substance use disordersInjuriesSurgeriesOther medical conditionsED treat-and-release visitsDescription of the data source, methodology, and clinical criteria (Excel file, 43 KB)Change log (Excel file, 65 KB)For each type of inpatient stay, there is an Excel file for the number of discharges, the percent of discharges, the average length of stay, the in-hospital mortality rate per 100 discharges,1 and the population-based rate per 100,000 population.2 Each Excel file contains State-specific, region-specific, and national statistics. For most files, trends begin in January 2017. Also included in each Excel file is a description of the HCUP databases and methodology.

  • AHRQ Healthcare Cost and Utilization Project Summary Tables

    • datalumos.org
    Updated Feb 21, 2025
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    AHRQ (2025). AHRQ Healthcare Cost and Utilization Project Summary Tables [Dataset]. http://doi.org/10.3886/E220328V1
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Authors
    AHRQ
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary Trend TablesThe HCUP Summary Trend Tables include information on hospital utilization derived from the HCUP State Inpatient Databases (SID), State Emergency Department Databases (SEDD), National Inpatient Sample (NIS), and Nationwide Emergency Department Sample (NEDS). State statistics are displayed by discharge month and national and regional statistics are displayed by discharge quarter. Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD.The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics:Overview of trends in inpatient and emergency department utilizationAll inpatient encounter typesInpatient encounter typeNormal newbornsDeliveriesNon-elective inpatient stays, admitted through the EDNon-elective inpatient stays, not admitted through the EDElective inpatient staysInpatient service lineMaternal and neonatal conditionsMental health and substance use disordersInjuriesSurgeriesOther medical conditionsED treat-and-release visitsDescription of the data source, methodology, and clinical criteria (Excel file, 43 KB)Change log (Excel file, 65 KB)For each type of inpatient stay, there is an Excel file for the number of discharges, the percent of discharges, the average length of stay, the in-hospital mortality rate per 100 discharges,1 and the population-based rate per 100,000 population.2 Each Excel file contains State-specific, region-specific, and national statistics. For most files, trends begin in January 2017. Also included in each Excel file is a description of the HCUP databases and methodology.

  • New Mexico HCUP

    • redivis.com
    application/jsonl +7
    Updated Sep 1, 2023
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    Libraries Research Data Services HCUP SID & SEDD State Data (2023). New Mexico HCUP [Dataset]. http://doi.org/10.57783/4cp0-xx66
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    csv, spss, sas, arrow, stata, application/jsonl, parquet, avroAvailable download formats
    Dataset updated
    Sep 1, 2023
    Dataset provided by
    Redivis Inc.
    Authors
    Libraries Research Data Services HCUP SID & SEDD State Data
    Area covered
    New Mexico
    Description

    This dataset was created by cul_hcup on Mon, 24 Apr 2023 04:24:26 GMT.

  • District of Columbia HCUP

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Jun 11, 2025
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    Libraries Research Data Services HCUP SID & SEDD State Data (2025). District of Columbia HCUP [Dataset]. http://doi.org/10.57783/x3tv-sn23
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    arrow, csv, application/jsonl, spss, stata, sas, avro, parquetAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Libraries Research Data Services HCUP SID & SEDD State Data
    Area covered
    Washington
    Description

    This dataset was created by cul_hcup on Mon, 17 Apr 2023 15:55:58 GMT.

  • HCUP Nationwide Emergency Department Database (NEDS)

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 14, 2013
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    Agency for Healthcare Research and Quality (2013). HCUP Nationwide Emergency Department Database (NEDS) [Dataset]. https://catalog.data.gov/dataset/hcup-nationwide-emergency-department-database-neds
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    Dataset updated
    Mar 14, 2013
    Dataset provided by
    Agency for Healthcare Research and Qualityhttp://www.ahrq.gov/
    Description

    The Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and support public health professionals, administrators, policymakers, and clinicians in their decision-making regarding this critical source of care. The NEDS can be weighted to produce national estimates. The NEDS is the largest all-payer ED database in the United States. It was constructed using records from both the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID), both also described in healthdata.gov. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). The SID contain information on patients initially seen in the emergency room and then admitted to the same hospital. The NEDS contains 25-30 million (unweighted) records for ED visits for over 950 hospitals and approximates a 20-percent stratified sample of U.S. hospital-based EDs. The NEDS contains information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 75% of patients, regardless of payer, including patients covered by Medicaid, private insurance, and the uninsured. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.

  • r

    NY State Inpatient Databases (SID) Core File

    • redivis.com
    Updated Jan 23, 2023
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    Orthopaedic Biostatistics Data Portal (2023). NY State Inpatient Databases (SID) Core File [Dataset]. https://redivis.com/datasets/hn7z-4fz9mdfh3
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    Dataset updated
    Jan 23, 2023
    Dataset authored and provided by
    Orthopaedic Biostatistics Data Portal
    Time period covered
    2016 - 2020
    Area covered
    New York
    Description

    years 2016-2020

    The table NY State Inpatient Databases (SID) Core File is part of the dataset New York State HCUP, available at https://redivis.com/datasets/hn7z-4fz9mdfh3. It contains 11411665 rows across 288 variables.

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    Agency for Healthcare Research and Quality, Department of Health & Human Services (2025). HCUP State Inpatient Databases (SID) - Restricted Access File [Dataset]. https://catalog.data.gov/dataset/hcup-state-inpatient-databases-sid-restricted-access-file
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    HCUP State Inpatient Databases (SID) - Restricted Access File

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    Dataset updated
    Jul 29, 2025
    Description

    The Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) are a set of hospital databases that contain the universe of hospital inpatient discharge abstracts from data organizations in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SID are based on data from short term, acute care, nonfederal hospitals. Some States include discharges from specialty facilities, such as acute psychiatric hospitals. The SID include all patients, regardless of payer and contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels. The SID contain clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SID, some include State-specific data elements. The SID exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and county-level data from the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers. Restricted access data files are available with a data use agreement and brief online security training.

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