A Clinician’s Guide to Running Custom Machine-Learning Models in an Electronic Health Record Environment

We recently brought an internally developed machine-learning model for predicting which patients in the emergency department would require hospital admission into the live electronic health record environment. Doing so involved navigating several engineering challenges that required the expertise of...

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Bibliographic Details
Published in:	Mayo Clinic proceedings Vol. 98; no. 3; pp. 445 - 450
Main Authors:	Ryu, Alexander J., Ayanian, Shant, Qian, Ray, Core, Marcia A., Heaton, Heather A., Lamb, Matthew W., Parikh, Riddhi S., Boyum, Jens P., Garza, Esteban L., Condon, Jennifer L., Peters, Steve G.
Format:	Journal Article
Language:	English
Published:	England Elsevier Inc 01-03-2023 Elsevier, Inc
Subjects:	Analysis Electronic Health Records Electronic records Emergency Service, Hospital Health care industry Health Facilities Humans Machine Learning Management Medical records Running Technology application United States UI AI IT EHR AUC ED ML
Online Access:	Get full text
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