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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,795 datasets
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.
2015 data from the New York State Department of Health provides observed, expected, and risk-adjusted rates for Patient Safety Indicators (PSI) across hospitals. The dataset includes counts for numerators, denominators, and total cases for each PSI measure, calculated using SPARCS inpatient data and AHRQ methodology. It was published by health.data.ny.gov and last updated in April 2025.
A list of all dialysis facilities registered with Medicare, including addresses, phone numbers, services, and quality of care information. The data is maintained by the U.S. Department of Health & Human Services and was last updated in July 2025.
SPARCS data provides hospital discharge counts and risk-adjusted rates for Patient Safety Indicators (PSI) across New York counties for calendar year 2015. The dataset includes observed, expected, and confidence intervals for PSI measures developed by the Agency for Healthcare Research and Quality (AHRQ). It is published by health.data.ny.gov and was last updated in April 2025.
Hospital discharge counts and risk-adjusted rates for Patient Safety Indicators (PSIs) across New York State facilities for calendar year 2015. The data was generated by the Agency for Healthcare Research and Quality (AHRQ) methodology using SPARCS inpatient records and US Census data. It is published by health.data.ny.gov and was last updated in April 2025.
Hospital discharge counts and risk-adjusted rates for Inpatient Quality Indicators (IQIs) developed by the Agency for Healthcare Research and Quality (AHRQ). All measures were calculated using New York's Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning in 2009. The data provides observed, expected, and risk-adjusted rates with 95% confidence intervals for mortality, utilization, and volume measures at the county level.
SPARCS data from 2009 onward underpins this set of hospital quality measures developed by the Agency for Healthcare Research and Quality. The dataset contains counts, observed and expected rates, and confidence intervals for mortality, utilization, and volume indicators for calendar year 2015. It is published by health.data.ny.gov and was last updated in April 2025.
A Web Feature Service (WFS) dataset of the urban development plan 'Gehren' for Mundelsheim municipality, transformed according to INSPIRE standards. The dataset is based on an XPlanung dataset in version 5.0 and was last updated on June 11, 2025. The Bundesamt für Kartographie und Geodäsie is the organization responsible for the data.
Hospital Inpatient Discharges (SPARCS De-Identified) data from health.data.ny.gov provides counts and risk-adjusted rates for Inpatient Quality Indicators (IQI) by patient county for calendar year 2015. The dataset contains hospital discharge counts, observed, expected, and risk-adjusted rates with 95% confidence intervals, calculated using AHRQ methodology from SPARCS inpatient data. It was last updated on April 2, 2025.
KNMP "Kremenchug first city hospital named after O.T. Bogaevsky" provides a register of its datasets. The data is published by the States site of Ukraine and was last updated on 2025-06-10. Available file formats include EXCEL XLSX and CSV.
Over 300,000 records combine Pima Indians, BRFSS surveys, and Retinopathy Debrecen datasets for Type 2 Diabetes prediction. This collection integrates clinical indicators like blood tests and demographics with retinal image-derived features. The dataset was authored by TahaGorji and last updated on Hugging Face in June 2025.
1,005 CT volumes contain over 11,100 labeled vertebrae from patients with different spinal conditions. The dataset, curated by alexanderdann, provides a large-scale benchmark for medical image analysis tasks. It addresses the previous lack of sizable annotated spine image collections for data-driven deep learning methods.
Bobrovytska City Council in Ukraine provides a list of medical equipment for its municipal health institutions, compiled from inventory descriptions of fixed assets. The dataset was last updated on June 17, 2025. The data is available in an Excel XLSX format.
MedEBench is a benchmark for text-guided image editing in the medical domain. It contains over 1,200 real-world medical operation samples spanning 13 anatomical regions and 70 clinically relevant editing operations. The dataset was created by LIUMinghao and was last updated on June 4, 2025.
21,729 3D medical images and 143,518 corresponding masks comprise this dataset, which was created to facilitate the development of general-purpose foundation models for 3D medical image segmentation. It was gathered from a combination of 70 public datasets and 8,128 privately licensed annotated cases from 24 hospitals. The dataset was authored by blueyo0 and last updated on 2025-05-25.
Centers for Disease Control and Prevention (CDC) data covering 1984 to 2023. This collection contains the historical questions, variable names, and response options from the Behavioral Risk Factor Surveillance System (BRFSS), a state-based survey on health risk factors.
MedPix is a database of patient cases integrating images and textual information. The content is organized by disease location, pathology category, patient profiles, and image classification.
The Visible Human Project provides complete, anatomically detailed 3D representations of a human male and female body from the U.S. Department of Health & Human Services. It is a public-domain library of cross-sectional cryosection, CT, and MRI images obtained from one male and one female cadaver. The Visible Man data was released in 1994 and the Visible Woman in 1995.
RxNorm, maintained by the U.S. Department of Health & Human Services, provides normalized names for clinical drugs and establishes links between major pharmacy and drug interaction software vocabularies. This semantic terminology resource enables interoperability between disparate healthcare systems by mapping drug concepts from sources like First Databank, Micromedex, Gold Standard, and Multum.
Beginning in 2013, this dataset reports hospital-specific risk-adjusted acute stroke mortality rates for New York State. It includes observed, expected, and risk-adjusted rates with confidence intervals, counts of stroke cases, and hospital designation status. The data is published by health.data.ny.gov for quality measurement and public reporting.