The SHOUT (Stroke Health Outcomes) SQL Database collects all stroke patients who are at least 18 years old from within the Northwell Health system’s electronic medical records, from 2014-2021. It uses their diagnostic codes, and if they had an MRS Score reported, to determine if they had a stroke. The data fields within the database have been made to conform to the NINDS Common Data Elements preferred...

The All of Us Research Program is part of an effort to advance individualized health care by enrolling one million or more participants to contribute their health data over many years. The program aims to reflect the diversity of the United States and to include participants from groups that have been underrepresented in health research in the past. The program is developing custom tools and software...

The NIH Rapid Acceleration of Diagnostics Data Hub (RADx® Data Hub) supports researchers in accessing curated and de-identified COVID-19 data, allowing them to find, aggregate, and perform data analyses in a cloud-enabled platform. The RADx Data Hub supports efforts to understand COVID-19 and factors associated with disparities in COVID-19 morbidity and mortality in underserved and vulnerable populations....

We developed a framework for continuously monitoring and updating prognostic models and apply it to predict 28-day survival in COVID-19 patients. We use demographic, laboratory, and clinical data from electronic health records of 34912 hospitalized COVID-19 patients from March 2020 until May 2022 and compare three modeling methods. Model calibration performance drift is immediately detected with minor...

The Acute Stroke Database is a REDCAP database based off of the Get With the Guidelines (GWTG) stroke program. The database contains data on all stroke patients 18+ who came to North Shore University Hospital, which is a comprehensive stroke center (CSC). As a CSC, stroke patients from outside hospitals would transfer in for advanced care in both hemorrhagic and ischemic stroke. The database contains...

ScHARe is a cloud-based social science data platform designed to accelerate research in minority health and health disparities, health care outcomes, and artificial intelligence bias mitigation strategies. The platform offers researchers at all career levels: Access to social determinants of health and other social science datasets. The ability to collaborate as they apply artificial intelligence,...

The New York City Clinical Data Research Network (NYC-CDRN) is a project founded by the Patient Centered Outcomes Research Institute (PCORI) and is part of the PCORnet program. The NYC-CDRN longitudinal datasets bring together NYC organizations including medical schools, medical centers, research support organizations, and practice-based research networks. The NYC-CDRN datasets include longitudinally...

Includes both deidentified individual patient data and analysis outputs. Study included 56 patients. Demographic and clinical data including medication, diagnosis and Clinical Global Impression Severity (CGI-S) scales on outpatients who had COVID-19 between February 28th and October 1st 2020 were extracted from the electronic health records (EHR) from the hospital. Study observed a higher COVID-19...

Data from a retrospective case series of 192 adult COVID-19 positive inpatients with EEG performed between March and June 2020 at 4 hospitals: 161 undergoing continuous, 24 routine, and 7 reduced-montage EEG. Study indication, epilepsy history, intubation status, administration of sedatives or antiseizure medications, metabolic abnormalities, neuroimaging pathology associated with epileptiform abnormalities,...

This dataset is student-level administrative data. It is compiled by the New York City Department of Education (DOE) as part of their Fitnessgram program. Fitnessgram is a fitness assessment for students K - 12 in the New York City public schools. As a part of this program, data is collected about student height, weight, fitness level, strength, endurance, and flexibility. Data collection began in...