Exploring an Industry-Education-Research Collaborative Teaching Model for the Course “R Programming and Fundamentals of Machine Learning” under the New Medical Education Initiative

Corresponding author: LI Jiao, li.jiao@imicams.ac.cn

DOI: 10.12201/bmr.202509.00006

•  

  Abstract: Purpose/Significance Under the background of New Medical, medical universities are introducing medical data mining courses aligned with industry demands to cultivate compound medical talents. Method/Process This study targets undergraduate medical students and defines a triadic curriculum goal of “learning to learn, learning to apply, and learning to create” within the “R Programming and Fundamentals of Machine Learning” course. We developed a collaborative teaching pathway characterized by strong practice orientation, dual-teacher engagement, technological empowerment, and multi-dimensional assessment. By integrating deep involvement of industry mentors, AI-driven teaching assistants, and project-based learning, we aimed to enhance students’ interdisciplinary competencies and practical innovation skills. Result/Conclusion In the most recent cohort, 85.0 % of students in the experimental group independently completed model construction—significantly higher than 66.7 % in the control group—while code accuracy rose from 71.6 % to 91.7 % and average modeling time fell from 58 to 43 minutes. Survey data indicate that 91.7 % of participants were “very satisfied” with the course, 88.3 % endorsed the dual-teacher model, and 93.3 % agreed that practice activities facilitated their theoretical understanding and application. Our industry-education-research collaborative model demonstrably improves medical students’ capabilities in data mining and intelligent technologies, offers strong replicability and scalability, and provides practical guidance for curriculum reform under the New Medical Science paradigm.

  Key words: Industry-Education-Research Collaborative; New Medical Education Initiative; Medical Data Mining; Interdisciplinary Talent Cultivation

  Submit time: 1 September 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• lixuecang, Qian Feng Cui. Research on the industry-university-research collaborative education system of medical information under the background of medical and engineering integration. 2022. doi: 10.12201/bmr.202207.00013

  SUN Yueping, HOU Li, LIU Yan, KANG Hongyu, GUO Zhen, LI Jiao. Research on Intelligent Ideological and Political Education under the Background of New Medicine——Taking the Introduction to Computer Course as an Example. 2024. doi: 10.12201/bmr.202409.00025

  hexiaofeng, hepeifeng. Integration of Informatics in Medicine-Innovative Practice of Information Empowered Medical Talent Training. 2023. doi: 10.12201/bmr.202305.00019

  XIAO Kai, WANG Peng, ZHANG Jing. Research on Media Literacy Education of Medical College Library under New Media Environment. 2021. doi: 10.12201/bmr.202110.00025

  XiaoRui, Cai Xiaohong, Hu Fang, Ma Li. Exploration on the training mode of first-class professional talents of Medical industry Integration under the background of intelligent medicine -- taking medical information engineering as an example. 2024. doi: 10.12201/bmr.202406.00010

  刘奇. Major construction of Medical Information Engineeringunder the background of new engineering education. 2023. doi: 10.12201/bmr.202303.00012

  Xiong Ronghua, SHEN Dongdong, SUN Weiran, LI Ping, SHEN Lining. Construction of “three rings and four chains” Double-qualified teacher Collaborative Education System for master of medical library and information Studies based on the employment-oriented “three complete education”. 2025. doi: 10.12201/bmr.202509.00064

  panxiaoxuan. Opportunity and Innovation: New Trends of medical Information literacy education. 2021. doi: 10.12201/bmr.202111.00008

  liyanling, qiuwuqi. Discussion on medical informatics talent training in China. 2022. doi: 10.12201/bmr.202210.00005

  fuyinghong. Exploration on the training mode of innovative talents majoring in information management and information system in Medical colleges and universities FU Yinghong, LI Dan, XIN Weihua, LU Yang, YANG Hong*, Capital Medical University Yanjing Medical College, Beijing, 101300, China. 2021. doi: 10.12201/bmr.202111.00007

• ID	Submit time	Number	Download
  1	2025-06-30	bmr.202509.00006V1	Download

• Public  Anonymous  To author only Submit Comments