中华医学教育杂志 ›› 2026, Vol. 46 ›› Issue (2): 107-111.DOI: 10.3760/cma.j.cn115259-20240327-00320

• 教学技术 • 上一篇    下一篇

基于虚拟仿真数字人技术的神经病学临床思维训练系统应用探索

梅珊珊1, 韩妍1, 雷媛2, 张博2, 赵楠2, 方立瑞2, 郝峻巍1   

  1. 1首都医科大学宣武医院神经内科,北京 100053;
    2人民卫生电子音像出版社模拟医学部,北京 100021
  • 收稿日期:2024-03-27 出版日期:2026-02-01 发布日期:2026-01-30
  • 通讯作者: 郝峻巍, Email: haojunwei@vip.163.com

Application of a clinical reasoning training system with digital patient simulation technology in undergraduate neurology teaching

Mei Shanshan1, Han Yan1, Lei Yuan2, Zhang Bo2, Zhao Nan2, Fang Lirui2, Hao Junwei1   

  1. 1Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China;
    2Medical Simulation Department, People′s Medical Publishing House, Beijing 100021, China
  • Received:2024-03-27 Online:2026-02-01 Published:2026-01-30
  • Contact: Hao Junwei, Email: haojunwei@vip.163.com

摘要: 本研究探索基于虚拟仿真数字人技术的临床思维训练系统在临床医学专业本科生神经病学教学中的应用。设计融合关键知识点的多维度、互动式临床案例,基于虚拟仿真技术构建模拟诊疗全过程的临床思维训练系统,并于2023年3月至5月应用于首都医科大学2019级临床医学专业(5+3一体化)38名学生的神经病学理论和见习教学中。通过与虚拟患者的互动,34名(89.5%)学生认为提升了其对神经病学知识的理解深度,35名(92.1%)学生认为激发了其学习兴趣,37名(97.4%)学生支持该临床思维训练系统的推广应用。与初次训练相比,学生在课程结束后的考核中,问诊和查体的关键信息提取率提升9.3%,定位诊断与定性诊断准确率提升9.6%。该系统获得学生和教师的认可,展现出良好的教学应用前景,为神经病学教学改革提供了新的思路。

关键词: 教学, 临床思维训练, 虚拟仿真数字人技术, 神经病学, 医学生

Abstract: This study aimed to explore the application of a clinical reasoning training system based on digital patient simulation technology in undergraduate neurology education. We designed multidimensional interactive clinical cases integrating key knowledge points and constructed a clinical reasoning training system simulating the entire diagnostic and therapeutic process using virtual simulation technology. From March to May 2023, the model was implemented in neurology theory and clinical clerkship courses for 38 fourth-year clinical medicine students (enrolled in the 5+3 integrated program) at Capital Medical University. Through interactions with virtual patients, 34 students (89.5%) reported enhanced depth of understanding in neurology, 35 students (92.1%) acknowledged increased learning motivation, and 37 students (97.4%) supported broader implementation of this training system. Compared with the initial training, students′ post-course assessments demonstrated a 9.3% improvement in the rate of key information retrieval during history-taking and physical examination, along with a 9.6% increase in the accuracy of localization and etiological diagnosis The model received high approval from students and teachers, and demonstrated promising educational potential, offering novel insights for neurology pedagogical innovation.

Key words: Teaching, Clinical reasoning training, Digital patient simulation technology, Neurology, Medical students

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