A Bibliometric Analysis of Technology in Digital Health: Exploring Health Metaverse and Visualizing Emerging Healthcare Management Trends
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255008" target="_blank" >RIV/61989100:27240/24:10255008 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/24:10255008
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10423633" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10423633</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2024.3363165" target="_blank" >10.1109/ACCESS.2024.3363165</a>
Alternative languages
Result language
angličtina
Original language name
A Bibliometric Analysis of Technology in Digital Health: Exploring Health Metaverse and Visualizing Emerging Healthcare Management Trends
Original language description
The digital economy has engendered Health Metaverse, an innovative technology with vast potential to transform healthcare through immersive experiences. The Health Metaverse serves as a convergence point for a multitude of technologies, including artificial intelligence (AI), virtual reality in heath, augmented reality in health, internet-connected medical devices, quantum computing, and more. This convergence opens up possibilities, for advancing quality healthcare. Therefore, reviewing recent influential literature is critical to understand current methods and envision future improvements. This study utilizes a hybrid bibliometric-structured methodology combining descriptive and bibliometric network analysis. To gather information we conducted searches on the Web of Science database and reviewed references. Our inclusion criteria focused on articles and reviews published between January 2012 and June 2023. We used keyword groups for our searches. Then performed bibliometric analysis followed by content analysis. Papers were reviewed, analyzed and categorized into focuses on multimodal medical information standards, medical/social data fusion, telemedicine, online health management, and medical AI. This bibliometric analysis of 34 thousand publications over 10 years proposes medical and health informatics in the Metaverse. Five future research direction clusters were identified. It delineates intelligent solutions bridging healthcare barriers. In conclusion, this review examines the Metaverse, in healthcare explores cutting edge technologies, applications, projects and highlights areas where adaptation may be needed. It identifies adaptation issues and suggests solutions warranting further research.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
23887-23913
UT code for WoS article
001164015900001
EID of the result in the Scopus database
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