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Utilizing Metaverse Technology for Optimization of Medical Device Clinical Trial Education

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(1), pp.129-140
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 22, 2024
  • Accepted : January 13, 2025
  • Published : January 31, 2025

Hyon-Chel Jung 1 Kun-Soo Shin 2 Sung-Hoon Park 3 Sung-Bin Park 1

1연세대학교 원주의과대학
2연세대학교 미래의료산학협력단
3(주)디지포레

Accredited

ABSTRACT

This study aims to propose a strategy for optimizing medical device clinical trial education by utilizing metaverse technology. Medical device clinical trials require precise and systematic training to ensure patient safety and the effective execution of procedures. Traditional physical education environments have faced qualitative and quantitative limitations due to high costs and restricted accessibility. Consequently, virtual educational environments leveraging metaverse technology have emerged as an alternative, offering immersive learning experiences that save time and reduce costs while providing more efficient training methods. In this study, a metaverse-based education system was specifically designed and implemented, enabling learners to repeatedly practice medical device usage in a virtual environment. The results show that metaverse-based education improved learner engagement by 25% and contributed to a 30% reduction in training costs. Moreover, a satisfaction survey conducted with 246 participants revealed high ratings for the utility of educational content (4.4/5), learning support effectiveness (4.5/5), and hands-on training experience satisfaction (4.6/5). These findings demonstrate that metaverse technology goes beyond being a mere substitute for traditional educational methods, significantly contributing to improvements in the quality of education and learning outcomes. This study is expected to contribute to verifying the long-term effects of metaverse-based educational environments and proposing specific applications for various medical fields.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.