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eICU Collaborative Research Database (eICU-CRD)

AI Datasets Clinical EHR ICU Critical Care PhysioNet Multi-center Free Access
PUBMED_LINK
30204154
DESCRIPTION
The eICU Collaborative Research Database (eICU-CRD) is a large multi-center intensive care unit database from Philips Healthcare's eICU telehealth program, in partnership with MIT Laboratory for Computational Physiology. Contains de-identified data for over 200,000 admissions from 139,000 unique patients across 335 ICU units at 208 US hospitals (2014-2015). Includes: demographics, vital signs, care plan documentation, severity of illness measures (APACHE IV), diagnoses (3,933 unique active problems), laboratory measurements (158 lab types), medications, continuous infusions, intake/output, microbiology, nurse charting, and structured notes. Data access follows the same process as MIMIC: free of charge, requires PhysioNet credentialed access (CITI Data or Specimens Only Research course + Data Use Agreement). Complements MIMIC-IV (single-center, Boston) with multi-center US coverage for external validation and generalizability of ICU ML models.
URL
https://eicu-crd.mit.edu/
KEYWORDS
eICU, critical care, ICU, multicenter, Philips, PhysioNet, vital signs, severity of illness
TITLE
The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
Main citation
Pollard TJ, Johnson AEW, Raffa JD, Celi LA, Mark RG, Badawi O. (2018) The eICU Collaborative Research Database, a freely available multi-center database for critical care research. Scientific Data, 5:180178. doi:10.1038/sdata.2018.178. PMID 30204154
ABSTRACT
Critical care patients are monitored closely through the course of their illness. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU) database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States.
DOI
10.1038/sdata.2018.178