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eICU Collaborative Research Database (eICU-CRD)
PUBMED_LINK
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
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