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Metaverse applications in healthcare: opportunities and challenges

Author

Listed:
  • EuiBeom Jeong

    (Hanshin University)

  • DonHee Lee

    (Inha University)

Abstract

This study examines the transformative potential of the Metaverse in healthcare, with a particular focus on identifying its ability to significantly improve healthcare delivery and patient outcomes. A total of 1226 videos and 55,919 comments were collected from YouTube and 4409 academic papers from January 2020 to April 2024. The data were analyzed by sentiment analysis, network analysis, and cluster analysis to delineate opportunities and challenges involved with Metaverse applications in the healthcare industry. We also interviewed medical experts to ascertain the current status of Metaverse applications and/or future plans in hospitals. The results indicate that Metaverse offers significant value creating opportunities, including enhanced medical training through immersive environments, personalized patient care through virtual experiences, and improved disease diagnosis and treatment through real-time data analysis.

Suggested Citation

  • EuiBeom Jeong & DonHee Lee, 2025. "Metaverse applications in healthcare: opportunities and challenges," Service Business, Springer;Pan-Pacific Business Association, vol. 19(1), pages 1-38, March.
    • Handle: RePEc:spr:svcbiz:v:19:y:2025:i:1:d:10.1007_s11628-024-00577-9
    DOI: 10.1007/s11628-024-00577-9
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    References listed on IDEAS

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    1. HeeSoo Chin & Durga Prasad Marasini & DonHee Lee, 2023. "Digital transformation trends in service industries," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 11-36, March.
    2. Sang-Gun Lee & Silvana Trimi & Won Byun & Mincheol Kang, 2011. "Innovation and imitation effects in Metaverse service adoption," Service Business, Springer;Pan-Pacific Business Association, vol. 5(2), pages 155-172, June.
    3. DonHee Lee & Seong No Yoon, 2021. "Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges," IJERPH, MDPI, vol. 18(1), pages 1-18, January.
    4. Ji Young Lim & Seulki Kim & Juhang Kim & Seunghwan Lee, 2020. "Identifying trends in nursing start-ups using text mining of YouTube content," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-14, February.
    5. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    Full references (including those not matched with items on IDEAS)

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