Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System
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Celi-2012-Collective Experience.pdf
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2.36 MB
Format
Adobe PDF
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Author(s)
Celi, Leo Anthony G.
Mark, Roger Greenwood
Lee, Joon
Scott, Daniel
Panch, Trishan
Date Issued
March 2012
Journal
Journal of Computing Science and Engineering
Publisher
Korean Institute of Information Scientists and Engineers
Citation
Celi, Leo A. et al. “Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System.” Journal of Computing Science and Engineering 6.1 (2012): 51–59. Web.
Version
Final published version
Abstract
We describe the framework of a data-fuelled, interdisciplinary team-led learning system. The idea is to build models using patients from one's own institution whose features are similar to an index patient as regards an outcome of interest, in order to predict the utility of diagnostic tests and interventions, as well as inform prognosis. The Laboratory of Computational Physiology at the Massachusetts Institute of Technology developed and maintains MIMIC-II, a public deidentified high- resolution database of patients admitted to Beth Israel Deaconess Medical Center. It hosts teams of clinicians (nurses, doctors, pharmacists) and scientists (database engineers, modelers, epidemiologists) who translate the day-to-day questions during rounds that have no clear answers in the current medical literature into study designs, perform the modeling and the analysis and publish their findings. The studies fall into the following broad categories: identification and interrogation of practice variation, predictive modeling of clinical outcomes within patient subsets and comparative effectiveness research on diagnostic tests and therapeutic interventions. Clinical databases such as MIMIC-II, where recorded health care transactions - clinical decisions linked with patient outcomes - are constantly uploaded, become the centerpiece of a learning system.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.5626/JCSE.2012.6.1.51
