Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback.

Journal: Journal of medical Internet research

PMID: 39854611

Abstract

BACKGROUND: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.

Authors

David A Cook

Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
Joshua Overgaard

Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
V Shane Pankratz

Health Sciences Center, University of New Mexico, Albuquerque, NM, United States.
Guilherme Del Fiol

Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.
Chris A Aakre

Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.

Keywords

Communication Diabetes Mellitus Feedback Humans Language Large Language Models Patient Preference Patient Simulation Physician-Patient Relations User-Computer Interface

External Resources

View on PubMed Access via DOI PubMed (39854611)

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback.

Abstract

Authors

Keywords

External Resources

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