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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,792 datasets
The National Hospital Ambulatory Medical Care Survey (NHAMCS) provides nationally representative estimates of emergency department visits from 2016 to 2022. Data from the National Center for Health Statistics (NCHS) includes counts and rates for the 10 leading primary diagnoses and reasons for visit, stratified by patient and hospital characteristics. Rankings were identified using weighted 2022 data and assessed in prior years.
The Clinical Investigator Inspection List (CLIIL) contains information from inspections of clinical investigators involved in investigational new drug studies. It includes names, addresses, and other pertinent details gathered by the U.S. Department of Health & Human Services. The list covers inspections closed since July 1977.
MedWatch alerts provide timely safety information on human drugs, medical devices, vaccines, biologics, dietary supplements, and cosmetics. The dataset contains actionable information impacting treatment and diagnostic choices for healthcare professionals and patients, sourced from the U.S. Department of Health & Human Services.
NCHS data from the National Hospital Ambulatory Medical Care Survey details initial injury-related visits to U.S. hospital emergency departments. The dataset includes estimates categorized by sex, age, and the intent and mechanism of injury. Data for 2017 and later years were revised in December 2021 to correct programming errors.
U.S. hospital data from the National Hospital Care Survey captures COVID-19 patient encounters from March 2020 to December 2023. It originates from 26 hospitals reporting inpatient and emergency department administrative claims. The data includes indicators like length of stay and mortality, though the 2020-2023 sample is not yet nationally representative.
U.S. Department of Health & Human Services data informs HHS, States, Congress, and the public about State Medicaid Fraud Control Unit results. The dataset, last updated in August 2025, tracks annual spending and performance metrics.
Beginning in 2013, this dataset provides observed, expected, and risk-adjusted rates for 36 major Potentially Preventable Complications (PPCs) for inpatient discharges in New York State. The data is derived from the Statewide Planning and Research Cooperative System (SPARCS) and published by health.data.ny.gov. PPCs are defined as harmful events during hospitalization that may result from care processes rather than the underlying illness.
MediQ contains between 1,000 and 10,000 text-based records designed to benchmark interactive clinical reasoning in Large Language Models. Released in 2024 by researcher stellalisy, the dataset evaluates how models identify missing information and ask clarifying questions in medical contexts. It is formatted for use with common data libraries like Pandas and Polars.
Potentially Preventable Complication (PPC) group rates for hospital inpatient discharges, beginning in 2013. The dataset groups 66 individual PPC measures into 8 categories, providing observed and risk-adjusted rates per 10,000 discharges by hospital and statewide. Data is sourced from the Statewide Planning and Research Cooperative System (SPARCS) and published by health.data.ny.gov.
The Certified Health IT Product List (CHPL) is an authoritative listing of all certified Health Information Technology products tested and certified by the ONC Health IT Certification program. It is published by the U.S. Department of Health & Human Services and was last updated in July 2025.
66 individual Potentially Preventable Complication (PPC) measures show observed and risk-adjusted rates for all payer discharges by hospital and statewide, beginning in 2013. The PPCs were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data and are defined by 3M Health Information Systems software. The data is published by health.data.ny.gov and was last updated in May 2025.
A turn-based format dataset mixing FreedomIntelligence/Medical-R1-Distill-Data and its Chinese counterpart. It was created by ToastyPigeon and last updated on June 26, 2025. The data includes versions with and without explicit reasoning steps.
Survey data from the Youth Risk Behavioral Surveillance System measures mental health indicators and related behaviors among adolescents. Results are aggregated by year, geographic area, and demographic groups, with estimates provided by the U.S. Centers for Disease Control and Prevention. The dataset includes records updated as of May 2025.
The Orange Book, published by the U.S. Food and Drug Administration, identifies drug products approved for safety and effectiveness. It provides therapeutic equivalence evaluations for approved pharmaceuticals.
New York State Department of Health provides cumulative healthcare facility-reported fatalities for patients with lab-confirmed COVID-19. Data is sourced from daily HERDS surveys completed by hospitals, nursing homes, and adult care facilities, with reporting beginning in March 2020. The dataset is archived as of April 16, 2025, and no longer updated.
PaulRitsche developed the Universal Muscle Ultrasound Database (UMUD) to facilitate open science in the field of muscle architecture and ultrasound imaging. This repository, updated as recently as August 2025, serves as a specialized collection for sharing muscle-specific ultrasound data.
RecGPT-Dataset contains the pre-training, evaluation, and test data used in the paper 'RecGPT: A Foundation Model for Sequential Recommendation'. The dataset was created by the HKUDS organization and last updated on June 12, 2025. It serves as the core data for training and evaluating the RecGPT foundation model.
ClinicalTrials.gov provides public access to information on clinical studies for a wide range of diseases and conditions. The registry is maintained by the U.S. Department of Health & Human Services and was last updated in July 2025. Specific details on the number of trials, rows, or columns are not provided in the input.
2017-2019 data from the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey tracks visits to physician offices, outpatient, and emergency departments. The dataset includes estimates broken down by population characteristics like age, sex, and race. It is produced by the National Center for Health Statistics (NCHS) and updated with more recent years than the 2019 published report.
Patient Safety Indicator rates track potential in-hospital complications following surgeries and childbirth across New York State counties. The Agency for Healthcare Research and Quality developed the methodology using SPARCS inpatient data starting in 2009. New York State health authorities calculate observed, expected, and risk-adjusted rates with 95% confidence intervals.