中华医学教育杂志

中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (7): 508-513.DOI: 10.3760/cma.j.cn115259-20240812-00842

• 教育技术 • 上一篇    下一篇

医学模拟中心智能信息管理平台建设与应用效果研究

丁敏1, 刘圣珺1, 孙晓靓1, 马若琳1, 顾浩杰1, 单启源1, 康宝丽1, 徐增光1, 徐玮2, 陈迟1   

  1. 1同济大学附属东方医院毕业后继续教育办公室,上海 200123;
    2同济大学附属东方医院重症医学科,上海 200123
  • 收稿日期:2024-08-12 出版日期:2025-07-01 发布日期:2025-07-01
  • 通讯作者: 陈迟, Email: chenchi2003@163.com
  • 基金资助:
    上海市卫生和计划生育委员会科研课题(201740159);教育部产学合作协同育人项目(221000498102842)

Construction and application of an intelligent information management platform for a medical simulation center

Ding Min1, Liu Shengjun1, Sun Xiaoliang1, Ma Ruolin1, Gu Haojie1, Shan Qiyuan1, Kang Baoli1, Xu Zengguang1, Xu Wei2, Chen Chi1   

  1. 1Department of Postgraduate and Continuing Medical Education, Shanghai East Hospital, Tongji University, Shanghai 200123, China;
    2Department of Critical Care Medicine, Shanghai East Hospital, Tongji University, Shanghai 200123, China
  • Received:2024-08-12 Online:2025-07-01 Published:2025-07-01
  • Contact: Chen Chi, Email: chenchi2003@163.com
  • Supported by:
    Shanghai Municipal Commission of Health and Family Planning Science Funding (201740159); University-Industry Collaborative Education Program of the Ministry of Education (221000498102842)

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摘要： 目的 探讨医学模拟中心智能信息管理平台(简称管理平台)在教学培训质量控制中的应用效果。方法 采用问卷调查和成绩分析方法。同济大学附属东方医院于2020年开始设计、开发医学模拟中心智能信息管理平台,实施全方位管理。选取2020年7月至2023年7月在我院进行住院医师规范化培训(简称住培)的住院医师192人和医学模拟教研室指导教师273人作为研究对象,采用自行设计的问卷调查其管理平台使用情况,对比住院医师的执业医师考试、住培结业考试通过率和年度考核成绩。采用方差分析和χ2检验处理数据。结果 住院医师和指导教师对场地、教学设备、模具、课程、时间等方面的管理满意度均较高,如对场地管理的满意度分别为100.0%(192/192)和99.6%(272/273),其差异无统计学意义(P=0.401)。2020届住院医师的第三年(建立管理平台后)年度考核成绩高于第一年(建立管理平台前),其差异具有统计学意义[(90.29±6.38)分比(87.88±7.81)分,P=0.018]。建立管理平台后(2021年)住院医师的执业医师考试通过率和结业综合考试通过率高于建立管理平台前(2020年),分别为[97.3%(72/74)比88.9%(56/63),P=0.048]和[100.0%(78/78)比94.6%(70/74),P=0.037],其差异均具有统计学意义。结论 管理平台得到了住院医师和指导教师的认可,有助于提高住院医师年度考核成绩、执业医师考试和结业综合考试通过率,有效提高了住培管理工作的效率和质量。

关键词: 临床医学, 医学模拟中心建设, 信息管理平台, 人工智能, 培训质量

Abstract: Objective To explore the application of the intelligent information management platform for a medical simulation center in the quality control of teaching and training. Methods A questionnaire survey and performance analysis was employed. Shanghai East Hospital, Tongji University initiated the design and development of the management platform in 2020 to implement comprehensive management. A total of 192 residents and 273 instructors from the Medical Simulation Teaching and Research Office from July 2020 to July 2023 were enrolled in the study. A self-designed questionnaire was used to assess their usage of the management platform, and the pass rates of the residents in the Medical Practitioner Examination and residency training final examinations, as well as their annual assessment scores, were compared. Data were analyzed with ANOVA and chi-square tests. Results Both residents and instructors reported high satisfaction with the management of facilities, teaching equipment, simulation models, courses, and scheduling. For example, satisfaction with facility management was 100.0%(192/192) among residents and 99.6%(272/273) among instructors (P=0.401). The third-year annual assessment scores of the 2020 cohort of residents (post-implementation) were higher than those in the first year (pre-implementation): (90.29±6.38) vs. (87.88±7.81), P=0.018. The pass rate of the Medical Practitioner Examination and Comprehensive Graduation Examination among residents post-implementation of the management platform (2021) was higher than that pre-implementation of the management platform (2020): 97.3%(72/74) vs. 88.9%(56/63), P=0.048; 100.0%(78/78) vs. 94.6%(70/74), P=0.037. Conclusions The management platform was well-received by both residents and instructors, contributed to improving annual assessment scores and Medical Practitioner Examination and Comprehensive Graduation Examination pass rates, and effectively enhanced the efficiency and quality of residency training management.

Key words: Clinical medicine, Medical simulation center construction, Information management platform, Artificial intelligence, Training quality

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