IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v19y2025i1d10.1007_s11628-024-00577-9.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-024-00577-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11628-024-00577-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lai, Kee-hung & Feng, Yunting & Zhu, Qinghua, 2023. "Digital transformation for green supply chain innovation in manufacturing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Kaur, Harpreet & Gupta, Mahima & Singh, Surya Prakash, 2024. "Integrated model to optimize supplier selection and investments for cyber resilience in digital supply chains," International Journal of Production Economics, Elsevier, vol. 275(C).
    3. Maximilian Klöckner & Christoph G. Schmidt & Stephan M. Wagner, 2022. "When Blockchain Creates Shareholder Value: Empirical Evidence from International Firm Announcements," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 46-64, January.
    4. Suyuan Luo & Tsan-Ming Choi, 2024. "Great partners: how deep learning and blockchain help improve business operations together," Annals of Operations Research, Springer, vol. 339(1), pages 53-78, August.
    5. Suyuan Luo & Tsan‐Ming Choi, 2022. "E‐commerce supply chains with considerations of cyber‐security: Should governments play a role?," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2107-2126, May.
    6. Saveria Olga Murielle Boulanger, 2022. "The Roadmap to Smart Cities: A Bibliometric Literature Review on Smart Cities’ Trends before and after the COVID-19 Pandemic," Energies, MDPI, vol. 15(24), pages 1-19, December.
    7. Eva Labro & Mark Lang & Jim Omartian, 2019. "Predictive Analytics and Organizational Architecture: Plant-Level Evidence from Census Data," Working Papers 19-02, Center for Economic Studies, U.S. Census Bureau.
    8. Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special Issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 868-869, February.
    9. Xiangyu Chang & Yinghui Huang & Mei Li & Xin Bo & Subodha Kumar, 2021. "Efficient Detection of Environmental Violators: A Big Data Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1246-1270, May.
    10. Jason R. W. Merrick & Claire A. Dorsey & Bo Wang & Martha Grabowski & John R. Harrald, 2022. "Measuring Prediction Accuracy in a Maritime Accident Warning System," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 819-827, February.
    11. Claus Zippel & Sabine Bohnet-Joschko, 2021. "Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov," IJERPH, MDPI, vol. 18(10), pages 1-14, May.
    12. Soon Goo Hong & DonHee Lee, 2023. "Development of a citizen participation public service innovation model based on smart governance," Service Business, Springer;Pan-Pacific Business Association, vol. 17(3), pages 669-694, September.
    13. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    14. Di Wang, 2024. "An Empirical Study on Industry Convergence in an Underdeveloped Area: Shanwei, Guangdong, China," International Journal of Regional Development, Macrothink Institute, vol. 11(2), pages 1-1, December.
    15. Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
    16. Emre M. Demirezen & Subodha Kumar & Bala Shetty, 2020. "Two Is Better Than One: A Dynamic Analysis of Value Co‐Creation," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2057-2076, September.
    17. ManMohan S. Sodhi & Zahra Seyedghorban & Hossein Tahernejad & Danny Samson, 2022. "Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2517-2537, June.
    18. Debjit Roy & Eirini Spiliotopoulou & Jelle de Vries, 2022. "Restaurant analytics: Emerging practice and research opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3687-3709, October.
    19. Radha Mookerjee & Jayarajan Samuel, 2023. "Managing the security of information systems with partially observable vulnerability," Production and Operations Management, Production and Operations Management Society, vol. 32(9), pages 2902-2920, September.
    20. Nasrin Sultana & Ekaterina Turkina, 2023. "Collaboration for Sustainable Innovation Ecosystem: The Role of Intermediaries," Sustainability, MDPI, vol. 15(10), pages 1-18, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:19:y:2025:i:1:d:10.1007_s11628-024-00577-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.