ChatClinic in Pharmacy Education: AI-Simulated Renal Cases for Enhanced Clinical Learning. WMJ 2026;125(1):75-78
Date
04/14/2026Pubmed ID
41980137Scopus ID
2-s2.0-105035820830 (requires institutional sign-in at Scopus site) 1 CitationAbstract
BACKGROUND: Artificial intelligence (AI)-driven simulations can address limitations of traditional standardized patient programs in health care education.
METHODS: We integrated ChatClinic, a large language model-based virtual patient platform, into a renal workshop for second-year pharmacy students. Students engaged in simulated clinical cases and completed surveys, and their interactions were analyzed for diagnostic accuracy and use patterns.
RESULTS: Students completed 4 virtual patient encounters related to renal pathology. Of 39 students, 19 completed surveys, and all strongly agreed the tool enhanced their understanding and application of workshop content. In 82 analyzed interactions, 75.61% resulted in correct diagnoses. Common student actions included ordering laboratory tests and taking medical histories.
DISCUSSION: Students found ChatClinic valuable and easy to use. Initial findings support AI simulations as effective, scalable additions to health education.
Author List
Wolfrath N, Verhagen NB, Bhatt SN, Elftmann E, Tomlin C, Nimmer K, Boutris A, Pape Z, Kavanaugh R, Kothari AN, LaTourette BAuthors
Rachel Kavanaugh PharmD Associate Professor in the School of Pharmacy Operations department at Medical College of WisconsinAnai N. Kothari MD Associate Professor in the Surgery department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Artificial IntelligenceEducation, Pharmacy
Humans
Kidney Diseases
Patient Simulation
Students, Pharmacy
