journal article Open Access Sep 11, 2018

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

View at Publisher Save 10.1038/sdata.2018.178
Abstract
AbstractCritical 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.
Topics

No keywords indexed for this article. Browse by subject →

References
23
[1]
Kelly, F. E., Fong, K., Hirsch, N. & Nolan, J. P. Intensive care medicine is 60 years old: the history and future of the intensive care unit. Clinical medicine 14, 376–379 (2014). 10.7861/clinmedicine.14-4-376
[2]
Adhikari, N. K., Fowler, R. A., Bhagwanjee, S. & Rubenfeld, G. D. Critical care and the global burden of critical illness in adults. The Lancet 376, 1339–1346 (2010). 10.1016/s0140-6736(10)60446-1
[3]
Celi, L. A., Mark, R. G., Stone, D. J. & Montgomery, R. A. “Big Data” in the Intensive Care Unit: Closing the Data Loop. Am J Respir Crit Care Med 187, 1157–1160 (2013). 10.1164/rccm.201212-2311ed
[4]
Machine Learning and Decision Support in Critical Care

Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati et al.

Proceedings of the IEEE 2016 10.1109/jproc.2015.2501978
[5]
Lilly, C. M. et al. A multicenter study of icu telemedicine reengineering of adult critical care. CHEST Journal 145, 500–507 (2014). 10.1378/chest.13-1973
[6]
McShea, M., Holl, R., Badawi, O., Riker, R. R. & Silfen, E. The eICU research institute-a collaboration between industry, health-care providers, and academia. IEEE Engineering in Medicine and Biology Magazine 29, 18–25 (2010). 10.1109/memb.2009.935720
[7]
Saeed, M. et al. Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): a public-access intensive care unit database. Critical care medicine 39, 952–960 (2011). 10.1097/ccm.0b013e31820a92c6
[8]
MIMIC-III, a freely accessible critical care database

Alistair E.W. Johnson, Tom J. Pollard, Lu Shen et al.

Scientific Data 10.1038/sdata.2016.35
[9]
United States. Cong. House. Health Insurance Portability and Accountability Act of 1996. 104th Congress https://www.gpo.gov/fdsys/pkg/PLAW-104publ191/html/PLAW-104publ191.htm (1996).
[10]
Neamatullah, I. et al. Automated de-identification of free-text medical records. BMC medical informatics and decision making 8, 1–32 (2008). 10.1186/1472-6947-8-32
[11]
Finney, J. M., Walker, A. S., Peto, T. M. & Wyllie, D. H. An efficient record linkage scheme using graphical analysis for identifier error detection. BMC Medical Informatics and Decision Making 11, 7 (2011). 10.1186/1472-6947-11-7
[12]
Johnson, A. E. W. & Pollard, T. J. MIT-LCP/eicu-data-paper: eICU-CRD Code for Data Descriptor. Zenodo https://doi.org/10.5281/zenodo.1248994 (2018). 10.5281/zenodo.1248994
[13]
Pollard, T. J. et al. MIT-LCP/eicu-code: eICU-CRD Code Repository. Zenodo https://doi.org/10.5281/zenodo.1249016 (2018). 10.5281/zenodo.1249016
[14]
Pollard, T. J., Johnson, A. E. W., Raffa, J. & Mark, R. G. tableone: An open source Python package for producing summary statistics for research papers. JAMIA Open 1 (1) https://doi.org/10.1093/jamiaopen/ooy012 (2018). 10.1093/jamiaopen/ooy012
[15]
Zimmerman, J. E., Kramer, A. A., McNair, D. S. & Malila, F. M. Acute physiology and chronic health evaluation (APACHE)IV: hospital mortality assessment for today's critically ill patients. Critical Care Medicine 34, 1297–1310 (2006). 10.1097/01.ccm.0000215112.84523.f0
[16]
Goldberger, A. L. et al. PhysioBank, PhysioToolkit, and PhysioNet. Circulation 101, e215–e220 (2000).
[17]
Johnson, A. E. W., Pollard, T. J. & Badawi, O. eICU Collaborative Research Database: Documentation and Website https://eicu-crd.mit.edu (2018). 10.1145/3107411.3107494
[18]
Braunschweiger, P. & Goodman, K. W. The CITI program: an international online resource for education in human subjects protection and the responsible conduct of research. Academic Medicine 82, 861–864 (2007). 10.1097/acm.0b013e31812f7770
[19]
Best Practices for Scientific Computing

Greg Wilson, D. A. Aruliah, Christopher T. Brown et al.

PLOS Biology 2014 10.1371/journal.pbio.1001745
[20]
Johnson, A. E. W., Pollard, T. J. & Mark, R. G. Reproducibility in critical care: a mortality prediction case study. Proceedings of Machine Learning Research 68, 361–376 (2017).
[21]
IPython: A System for Interactive Scientific Computing

Fernando Perez, Brian E. Granger

Computing in Science & Engineering 2007 10.1109/mcse.2007.53
[22]
Kluyver, T. et al. Jupyter notebooks-a publishing format for reproducible computational workflows. In ELPUB, pages 87–90 (2016).
[23]
Pollard, T. J., Johnson, A. E. W., Raffa, J., & Badawi, O. PhysioNet https://doi.org/10.13026/C2WM1R (2018) 10.13026/c2wm1r
Cited By
1,361
Intelligent Hospital
A survey on large language models in biology and chemistry

Islambek Ashyrmamatov, Su Ji Gwak · 2026

Experimental & Molecular Medici...
Journal of the American Medical Inf...
Computational and Structural Biotec...
BMC Medical Informatics and Decisio...
PLOS Digital Health
Metrics
1,361
Citations
23
References
Details
Published
Sep 11, 2018
Vol/Issue
5(1)
License
View
Cite This Article
Tom J. Pollard, Alistair E. W. Johnson, Jesse D. Raffa, et al. (2018). The eICU Collaborative Research Database, a freely available multi-center database for critical care research. Scientific Data, 5(1). https://doi.org/10.1038/sdata.2018.178
Related

You May Also Like

The FAIR Guiding Principles for scientific data management and stewardship

Mark D. Wilkinson, Michel Dumontier · 2016

16,917 citations

MIMIC-III, a freely accessible critical care database

Alistair E.W. Johnson, Tom J. Pollard · 2016

5,732 citations

Present and future Köppen-Geiger climate classification maps at 1-km resolution

Hylke E. Beck, Niklaus E. Zimmermann · 2018

5,248 citations

Climatologies at high resolution for the earth’s land surface areas

Dirk Nikolaus Karger, Olaf Conrad · 2017

3,757 citations