The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Name
sdata2018178.pdf
Size
409.95 KB
Format
Adobe PDF
Checksum (MD5)
3c17990e467d306ce6fd3a1e0a959ca3
Author(s)
Pollard, Tom Joseph
Johnson, Alistair Edward William
Raffa, Jesse D
Celi, Leo Anthony G.
Mark, Roger G
Badawi, Omar
Date Issued
September 2018
Journal
Scientific Data
Publisher
Nature Publishing Group
Citation
Pollard, Tom J., Alistair E. W. Johnson, Jesse D. Raffa, Leo A. Celi, Roger G. Mark, and Omar Badawi. “The eICU Collaborative Research Database, a Freely Available Multi-Center Database for Critical Care Research.” Scientific Data 5 (September 11, 2018): 180178. © 2018 The Authors
Version
Final published version
Abstract
Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. 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. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research.
MIT Department
Institute for Medical Engineering and Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/sdata.2018.178
