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.
Medical University of South Carolina
- Academic Hospital
- Electronic medical record
- Telemedicine software
Team Members Involved
- Clinical Informatics Specialist
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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.
- Jihad S. Obeid, MD
- Cooper Johnson, MPH
Charleston, SCTalk to the Innovators