摘要
基于首都医科大学宣武医院急诊科在模拟教学和信息化建设方面的多年实践经验,系统性地提出并阐述急诊多学科智能协作教育平台的构建框架及应用。该平台通过融合多源数据、知识图谱和多模态交互技术,在教学模式变革、内容重构、评估创新和管理升级中展现出显著优势,推动了教学模式从“以教师为中心”向“以学生为中心”的转变,实现了教学内容的智能重构和评估体系的全面创新。然而,在实践应用中仍存在数据安全、技术局限性、师资培训等方面的挑战。未来,随着全息影像教学系统、智能决策辅助系统等新技术的发展,该平台将在促进急诊医学教育个性化、精准化方面发挥更大作用,同时推动教育资源的广泛共享和多学科深度融合。
This paper integrates the simulation teaching and informatization construction practices in the emergency department of Xuanwu Hospital Capital Medical University,systematically puts forward the concept of the Emergency Multidisciplinary Intelligent Collaborative Education Platform.The platform demonstrates significant advantages in teaching model transformation,content restructuring,assessment innovation,and management upgrades by integrating multi-source data,knowledge graphs,and multimodal interaction technologies.It also propels the transition of teaching models from a"teacher-centered"approach to a"student-centered"one.This enables the intelligent reconstruction of teaching content and the comprehensive innovation of the assessment system.However,in practice,problems such as data security,technical limitations,and faculty training still exist.In the future,with the development of holographic imaging teaching systems,intelligent decision-making support systems,etc.The platform will contribute to the personalization and precision of emergency medicine education,and promote the wide sharing of educational resources and the in-depth integration of multiple disciplines.
作者
刘芳艳
刘志
常莹
LIU Fangyan;LIU Zhi;CHANG Ying(Department of Emergency,Xuanwu Hospital,Capital Medical University,Beijing 100053,China;Department of Ultrasound,Xuanwu Hospital,Capital Medical University,Beijing 100053,China)
出处
《中国数字医学》
2026年第2期78-84,103,共8页
China Digital Medicine
基金
首都医科大学2024年教育教学改革研究课题(2024JYY101)。
关键词
人工智能
急诊医学
医学教育
实践应用
教育创新
Artificial intelligence
Emergency medicine
Medical education
Practical application
Educational innovation
