Overview

In 2020, a team at Medical University of South Carolina (MUSC) Health system analyzed clinical notes about symptoms taken during patient screening for COVID-19 and applied machine learning to this data in order to predict COVID-19 test results. This innovation supported  population management by enabling MUSC to prioritize COVID-19 testing appointments in a data-based way.  

Organization Name

Medical University of South Carolina

Organization Type
  • Academic Hospital
Tech Involved
  • Electronic medical record
  • Epic
  • Telemedicine software
Team Members Involved
  • Clinical Informatics Specialist
  • Physicians
  • RNs
Workflow Steps

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Sources

Obeid, J. S., Davis, M., Turner, M., Meystre, S. M., Heider, P. M., O’Bryan, E. C., & Lenert, L. A. (2020). An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. Journal of the American Medical Informatics Association, 27(8), 1321-1325.

Innovators
  • Jihad S. Obeid, MD
Editors
  • Cooper Johnson, MPH
Location

Charleston, SC

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