A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study - Takeaways - DentalSpire

A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study

  • By

  • Yufei Qu

  • Xiaowei Xu

  • Yunzi Long

  • Yijie Wang

  • Jiao Li

  • Xudong Lu

  • June 4, 2026

  • 0 min

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  • 1

    Proficient clinical communication skills are essential for accurate diagnosis and effective physician-patient relationships in medical practice.

  • 2

    Standardized patients (SPs) are widely used for training but face challenges like high resource demands and SP fatigue.

  • 3

    Recent advances in large language models (LLMs) offer potential for developing virtual patients (VPs) as scalable alternatives to SPs.

  • 4

    The study aimed to develop a multiagent VP framework to enhance simulation fidelity, interaction performance, and scalability in clinical training.

  • 5

    A comprehensive evaluation was conducted to compare the performance of the multiagent system against a single-LLM approach in SP emulation.

Original Source(s)

A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study

  • by Yufei Qu, Xiaowei Xu, Yunzi Long, Yijie Wang, Jiao Li, Xudong Lu

  • June 4, 2026

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