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Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis

Health 4.0 aligns with Industry 4.0 and encourages the application of the latest technologies to healthcare. Virtual reality (VR) is a potentially significant component of the Health 4.0 vision. Though VR in health care is a popular topic, there is little knowledge of VR-aided therapy from a macro p...

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Detalles Bibliográficos
Autores principales: Liu, Zhen, Ren, Lingfeng, Xiao, Chang, Zhang, Ke, Demian, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834834/
https://www.ncbi.nlm.nih.gov/pubmed/35162546
http://dx.doi.org/10.3390/ijerph19031525
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author Liu, Zhen
Ren, Lingfeng
Xiao, Chang
Zhang, Ke
Demian, Peter
author_facet Liu, Zhen
Ren, Lingfeng
Xiao, Chang
Zhang, Ke
Demian, Peter
author_sort Liu, Zhen
collection PubMed
description Health 4.0 aligns with Industry 4.0 and encourages the application of the latest technologies to healthcare. Virtual reality (VR) is a potentially significant component of the Health 4.0 vision. Though VR in health care is a popular topic, there is little knowledge of VR-aided therapy from a macro perspective. Therefore, this paper was aimed to explore the research of VR in aiding therapy, thus providing a potential guideline for futures application of therapeutic VR in healthcare towards Health 4.0. A mixed research method was adopted for this research, which comprised the use of a bibliometric analysis (a quantitative method) to conduct a macro overview of VR-aided therapy, the identification of significant research structures and topics, and a qualitative review of the literature to reveal deeper insights. Four major research areas of VR-aided therapy were identified and investigated, i.e., post-traumatic stress disorder (PTSD), anxiety and fear related disorder (A&F), diseases of the nervous system (DNS), and pain management, including related medical conditions, therapies, methods, and outcomes. This study is the first to use VOSviewer, a commonly used software tool for constructing and visualizing bibliometric networks and developed by Center for Science and Technology Studies, Leiden University, the Netherlands, to conduct bibliometric analyses on VR-aided therapy from the perspective of Web of Science core collection (WoSc), which objectively and visually shows research structures and topics, therefore offering instructive insights for health care stakeholders (particularly researchers and service providers) such as including integrating more innovative therapies, emphasizing psychological benefits, using game elements, and introducing design research. The results of this paper facilitate with achieving the vision of Health 4.0 and illustrating a two-decade (2000 to year 2020) map of pre-life of the Health Metaverse.
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spelling pubmed-88348342022-02-12 Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis Liu, Zhen Ren, Lingfeng Xiao, Chang Zhang, Ke Demian, Peter Int J Environ Res Public Health Article Health 4.0 aligns with Industry 4.0 and encourages the application of the latest technologies to healthcare. Virtual reality (VR) is a potentially significant component of the Health 4.0 vision. Though VR in health care is a popular topic, there is little knowledge of VR-aided therapy from a macro perspective. Therefore, this paper was aimed to explore the research of VR in aiding therapy, thus providing a potential guideline for futures application of therapeutic VR in healthcare towards Health 4.0. A mixed research method was adopted for this research, which comprised the use of a bibliometric analysis (a quantitative method) to conduct a macro overview of VR-aided therapy, the identification of significant research structures and topics, and a qualitative review of the literature to reveal deeper insights. Four major research areas of VR-aided therapy were identified and investigated, i.e., post-traumatic stress disorder (PTSD), anxiety and fear related disorder (A&F), diseases of the nervous system (DNS), and pain management, including related medical conditions, therapies, methods, and outcomes. This study is the first to use VOSviewer, a commonly used software tool for constructing and visualizing bibliometric networks and developed by Center for Science and Technology Studies, Leiden University, the Netherlands, to conduct bibliometric analyses on VR-aided therapy from the perspective of Web of Science core collection (WoSc), which objectively and visually shows research structures and topics, therefore offering instructive insights for health care stakeholders (particularly researchers and service providers) such as including integrating more innovative therapies, emphasizing psychological benefits, using game elements, and introducing design research. The results of this paper facilitate with achieving the vision of Health 4.0 and illustrating a two-decade (2000 to year 2020) map of pre-life of the Health Metaverse. MDPI 2022-01-28 /pmc/articles/PMC8834834/ /pubmed/35162546 http://dx.doi.org/10.3390/ijerph19031525 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Zhen
Ren, Lingfeng
Xiao, Chang
Zhang, Ke
Demian, Peter
Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title_full Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title_fullStr Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title_full_unstemmed Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title_short Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis
title_sort virtual reality aided therapy towards health 4.0: a two-decade bibliometric analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834834/
https://www.ncbi.nlm.nih.gov/pubmed/35162546
http://dx.doi.org/10.3390/ijerph19031525
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