医学教育管理 ›› 2025, Vol. 11 ›› Issue (3): 263-269.doi: 10.3969/j.issn.2096-045X.2025.03.003

• 专题研究 • 上一篇    下一篇

数智赋能医学院校教育质量评价体系的探索——以首都医科大学为例

韩淏轩1 , 丁达文2 , 张伟2 ,谢千池1*   

  1. 1.首都医科大学教务处,北京 100069; 2.首都医科大学信息化处,北京 100069
  • 收稿日期:2025-04-23 出版日期:2025-06-20 发布日期:2025-07-25
  • 通讯作者: 谢千池 E-mail:xieqianchi@ccmu.edu.cn
  • 基金资助:
    北京市教育科学“十四五”规划2022年度课题项目:新一代人工智能技术与高质量教育服务供给体系建设研究(CHDB22188)

Exploration on quality evaluation system of medical college education empowered by digital intelligencetaking Capital Medical University as an example

Han Haoxuan1, Ding Dawen2, Zhang Wei2, Xie Qianchi1*   

  1. 1. Academic Affairs Office, Capital Medical University, Beijing 100069, China; 2. Information Technology Office, Capital Medical University, Beijing 100069, China
  • Received:2025-04-23 Online:2025-06-20 Published:2025-07-25

摘要: 建立科学完善的教育质量评价体系对于建设教育强国意义重大,而医学院校的学科教育有其相对的独特性,所以医学院的教育质量评价体系就需要根据医学教育的特点做全面科学的部署,如纳入临床见习、实习、实验、实践等多维考核。目前,有些临床教学医院的信息化发展还属于“各自为战”阶段,不能将教育数据有效运用到医学院校整体的教育质量评价体系中。因此,可以通过数智化赋能教育评价体系,利用数据采集与整合,打通“数据孤岛”,助力医学教育改革;同时采用“顶层设计”策略,推进数据统一管理,建立“共建、共通、共享”的“一张表”评价体系,减少重复填报,数据采集覆盖多场景,利用数智化技术实现数据标准化与动态反馈,以保障医学人才培养和医疗服务水平提升。

关键词:

教育质量, 医学教育, 数智化, 评价体系

Abstract:

Establishing a scientific and sound education quality evaluation system is of great significance for building a strong educational country. However, the disciplinary education in medical colleges has its relative uniqueness, so the education quality evaluation system for medical colleges needs to be comprehensively and scientifically deployed according to the characteristics of medical education. For example, it should incorporate multi-dimensional assessments such as clinical probation, internship, experiments, and practical training. At present, the informatization development of some clinical teaching hospitals is still in the stage of "separate operations," and educational data cannot be effectively applied to the overall education quality evaluation system of medical colleges. Therefore, the education evaluation system can be empowered by digital intelligence, using data collection and integration to break through "data silos" and facilitate medical education reform. Meanwhile, adopting a "top-level design" strategy to promote unified data management, establishing a "shared, interconnected, and interoperable" evaluation system based on a "unified form" to reduce repeated filling, covering multiple scenarios in data collection, and using digital intelligence technologies to achieve data standardization and dynamic feedback, so as to ensure the improvement of medical talent training and medical service levels.

Key words:

education quality,  medical education,  digital intelligence,  evaluation system

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