医学教育管理 ›› 2026, Vol. 12 ›› Issue (1): 34-40.doi: 10.3969/j.issn.2096-045X.2026.01.006

• 教育教学 • 上一篇    下一篇

新医科背景下医学计算机教育探索

——以上海健康医学院为例

  

  1. 上海健康医学院计算机教研室,上海 201318
  • 收稿日期:2025-06-16 修回日期:2025-06-30 出版日期:2026-02-20 发布日期:2026-03-20

Exploration of medical computer technology education under the new medical education reforma case study of Shanghai University of Medicine and Health Sciences

  1. Computer Teaching and Research Office, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
  • Received:2025-06-16 Revised:2025-06-30 Online:2026-02-20 Published:2026-03-20

摘要:

针对医学院在培养学生计算思维过程中存在的问题,提出了计算思维课程体系的建设框架。为满足不同专业对计算机类课程的需求,通过对医学院各学科专业的调研,将大学信息技术设置为全校必修基础课,将数据可视化分析和数字媒体基础设为选择必修课,为临床医学、医学相关和管理类专业提供;针对理工类专业,开设人工智能基础和程序设计为选择必修课。基于课程体系建设,构建了人工智能背景下的多元培养平台,最后以两门课程为例进行了教学实践和调研分析,结果表明,改革后的课程体系和多元培养平台的建设显著提高了学生的课堂参与度、专业结合度、学习积极性、学生满意度及学习效果,为医学生的计算思维和创新思维的培养提供了切实可行的改革思路和措施。

Abstract: In response to the problems existing in the cultivation of students' computational thinking in medical colleges, a construction framework for the curriculum system of computational thinking is proposed. In order to meet the needs of different majors for computer-related courses, through the investigation of various disciplines and majors in medical colleges, "College Information Technology" is designated as a compulsory basic course for the entire university. "Data Visualization Analysis" and "Fundamentals of Digital Media" are provided as selective compulsory courses for clinical, medical-related, and management majors. For science and engineering majors, "Fundamentals of Artificial Intelligence" and "Programming Design" are offered as selective compulsory courses. Based on the construction of the curriculum system, a diversified training platform under the background of artificial intelligence is constructed. Finally, taking two courses as examples, teaching practice and survey analysis are carried out. The results show that the construction of the reformed curriculum system and the diversified training platform has significantly improved students' classroom participation, integration with professional knowledge, learning enthusiasm, student satisfaction, and learning effectiveness. This research provides practical reform ideas and measures for the cultivation of medical students' computational thinking and innovative thinking.

Key words:

 , computational thinking| artificial intelligence| diverse training platform| data visualization|programming design| innovative thinking

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