A Questionnaire Research on Big Data Application and Compliance as General Courses in Medical Education

Authors

  • Jian Guan *† National Population and Health Scientific Data Center (Clinical Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, P.R. China
  • Tao Li † School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
  • Huanhuan Wang School of Medical Information and Engineering, Xuzhou Medical University, Anhui, P.R. China
  • Xiaolin Yang Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
  • Hua Peng Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China
  • Yan Zhu Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, P.R. China
  • Cheng Feng National Population and Health Scientific Data Center (Clinical Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, P.R. China
  • Tao Yang National Population and Health Scientific Data Center (Clinical Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, P.R. China
  • Lijuan Yu National Population and Health Scientific Data Center (Clinical Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, P.R. China

DOI:

https://doi.org/10.61360/BoniCETR262020510901

Keywords:

general medical education, graduate education, big data, artificial intelligence, methodology, compliance, laws and ethics

Abstract

The status of data methodology and compliance courses in medical education in China was investigated to develop a curriculum design  accommodating research paradigms and clinical practices transformed by big data and artificial intelligence. A total of 247, 241, and 233 valid questionnaires from medical professionals, undergraduates, and graduates from representative institutes were analyzed. Of the medical professionals, 25.51% (63/247)  indicated that such courses were designed for undergraduates (73.02%, 46/247) and graduates (79.37%, 50/247). Systematic courses on medical data application and compliance were provided for 17.01% (41/241) of undergraduates and 56.65% (132/233)of graduates. More methodological courses were provided to undergraduates, accounting for 47.3% (114/241) of bioinformatics courses for basic medicine, 41.08% (99/241) of data mining courses for clinical medicine,  and 86.27% (201/233) of graduates. However, responses confirmed that many respondents still lacked fundamental knowledge regarding data compliance. Totally, 97.57 (241/247) professionals and 97.47% (462/474) students believed that compliance courses to be more or equally important to methodology. The necessity of this course was discussed from the perspective of the purpose of general education and the acceptance of data-driven research by professionals and graduates. Finally,  general courses for undergraduates were designed based on the preferences of the respondents and completed as preliminary practice.

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Published

2026-09-25

Issue

Vol. 7 No. 9 (2026)

Section

Research Articles

License

Copyright (c) 2026 Jian Guan *†, Tao Li †, Huanhuan Wang, Xiaolin Yang, Hua Peng, Yan Zhu, Cheng Feng, Tao Yang, Lijuan Yu

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

A Questionnaire Research on Big Data Application and Compliance as General Courses in Medical Education. (2026). Contemporary Education and Teaching Research, 7(9), 256-268. https://doi.org/10.61360/BoniCETR262020510901

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