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Study on the Perception and Application of AI in Korean Medicine through Practice and Questionnaire of Korean Medicine Using a Diagnostic Expert System

진단전문가시스템을 이용한 한의 실습의 설문 조사를 통한 AI에 대한 인식 및 활용방안 고찰

  • Yang, Ji-Hyuk (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University) ;
  • Woo, Jeong-A (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University) ;
  • Shin, Dong-Ha (Division of Electrical Engineering and Computer Science, Sangmyung University) ;
  • Park, Suho (Joong-Ang Sangha University) ;
  • Kwon, Young-Kyu (Division of Longevity and Biofunctional Medicine, School of Korean Medicine, Pusan National University)
  • 양지혁 (부산대학교 한의학전문대학원 양생기능의학부) ;
  • 우정아 (부산대학교 한의학전문대학원 양생기능의학부) ;
  • 신동하 (상명대학교 공과대학 전기전자컴퓨터공학과) ;
  • 박수호 (중앙승가대학) ;
  • 권영규 (부산대학교 한의학전문대학원 양생기능의학부)
  • Received : 2020.11.21
  • Accepted : 2021.01.19
  • Published : 2021.02.25

Abstract

This study conducted a questionnaire for students of Pusan National University Graduate School of Korean Medicine who practiced using the Oriental Medicine Diagnosis System (ODS). From the questionnaire, this study investigated current state of application and perception of AI in Korean Medicine and explored the direction of ODS improvement and utilization. The survey questions consisted of six questions examining the satisfaction of the diagnostic expert system, five questions evaluating the availability of the diagnostic expert system, and six questions to predict the impact of AI on the Korean medicine community. The survey analysis showed high satisfaction with practice using ODS. On the other hand, the possibility of using ODS, especially in clinical use, was evaluated as relatively low compared to the satisfaction of the practice. Therefore, the overall impact of AI on the Korean medical community is not expected to be large. Although there are difficulties in standardization of clinical data due to the academic characteristics of Korean medicine, it is necessary to continue attempts to apply AI. By actively introducing educational tools using the latest AI techniques to the diagnosis experience and doctor-patient role in a practice, students will be able to increase their satisfaction with their practice and respond appropriately to the state-of-the-art medical environment.

Keywords

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