ChatClinic in Pharmacy Education: AI-Simulated Renal Cases for Enhanced Clinical Learning.

WMJ : official publication of the State Medical Society of Wisconsin Pub Date : 2026-01-01

Nathan Wolfrath, Nathaniel B Verhagen, Shefali N Bhatt, Eric Elftmann, Caleb Tomlin, Kaitlyn Nimmer, Anastasia Boutris, Zachary Pape, Rachel Kavanaugh, Anai N Kothari, Bonnie LaTourette

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Abstract

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.

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药学教育中的ChatClinic：人工智能模拟肾脏病例加强临床学习。

背景：人工智能（AI）驱动的模拟可以解决传统标准化患者计划在医疗保健教育中的局限性。方法：我们将ChatClinic（基于语言模型的大型虚拟患者平台）集成到药学二年级学生的肾脏研讨会中。学生参与模拟临床病例和完成调查，并分析他们的互动诊断准确性和使用模式。结果：学生完成了4次与肾脏病理相关的虚拟病人会面。在39名学生中，有19人完成了调查，所有人都强烈同意该工具增强了他们对研讨会内容的理解和应用。在分析的82例相互作用中，75.61%的诊断正确。常见的学生行为包括订购实验室检查和记录病史。讨论：同学们认为ChatClinic很有价值，而且很容易使用。初步研究结果支持人工智能模拟是健康教育的有效、可扩展的补充。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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WMJ : official publication of the State Medical Society of Wisconsin

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