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Peer-Reviewed Publication
AMIA Jt Summits Transl Sci Proc2025;2025312-321.January 1, 2025Journal Article

Feasibility of Automated Precharting using GPT-4 in New Specialty Referrals.

April S Liang1, Juan M Banda2, Thomas Savage3, Abby Pandya2, Rebecca Carey2, Uchechukwu C Megwalu4, Michael T Chang4, Dev Dash5, Conor K Corbin6, Aditya Sharma2, Rahul Thapa7, Nikesh Kotecha2, Nigam H Shah3,7, Jennifer Y Lee4, Jonathan H Chen3,7
1Division of Clinical Informatics, Stanford University, Palo Alto, CA.
2Stanford Health Care, Palo Alto, California.
3Department of Medicine, Stanford University, Palo Alto, CA.
4Department of Otolaryngology, Stanford University, Palo Alto, CA.
5Department of Emergency Medicine, Stanford University, Palo Alto, CA.
6SmarterDx, New York, NY.
7Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA.
PubMed PMC PDF

Abstract

This study evaluates the feasibility of using GPT-4 to automate precharting for specialty referrals, focusing on new patients referred to an otolaryngology clinic for nasal congestion. We describe the design decisions and strategies tested in creating this precharting utility, including methods for prompt design and token limit handling. Through iterative testing and building, our tool achieved 95…

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