Intelligent virtual case learning system based on real medical records and natural language processing.

Journal: BMC medical informatics and decision making
Published Date: Mar 4, 2022

Abstract

BACKGROUND: Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medical students is an important research topic in recent years. Prominent medical universities are actively conducting research and exploration in this area. In particular, given the shortage of human resources, the need to maintain social distancing to prevent the spread of the epidemics, and the increase in the cost of medical education, it is critical to harness online learning to promote medical education. A virtual case learning system that uses natural language processing technology to process and present a hospital's real medical records and evaluate student responses can effectively improve medical students' clinical thinking abilities.

Authors

  • Mengying Wang
    College of Chemical Engineering and Environment, China University of Petroleum-Beijing Beijing 102249 China.
  • Zhen Sun
    Department of Big Data in Health Science, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China.
  • Mo Jia
    Information Management and Big Data Center, Peking University Third Hospital, Beijing, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Heng Wang
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Xingxing Zhu
    Key Laboratory of Molecular Biophysics of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Huazhong University of Science and Technology, No 1037, Luoyu Road, Wuhan 430074, China.
  • Lianzhong Chen
    Goodwill Hessian Health Technology Co. Ltd, Beijing, China.
  • Hong Ji

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