Adoption of Metaverse in Healthcare Sector: An Empirical Analysis of its Enablers

被引:6
作者
Shardeo, Vipulesh [1 ]
Sarkar, Bishal Dey [2 ]
Mir, Umar Bashir [3 ]
Kaushik, Prerna [4 ]
机构
[1] FORE Sch Management, Operat Management & Decis Sci Area, Delhi 110016, India
[2] Symbiosis Int Deemed Univ, Symbiosis Inst Operat Management, Pune 412115, India
[3] Lal Bahadur Shastri Inst Management, Informat Technol & Syst, Delhi 110075, India
[4] Delhi Technol Univ, Dept Engn Phys, Delhi 110042, India
关键词
Medical services; Metaverse; Technological innovation; Information and communication technology; COVID-19; Artificial intelligence; Pandemics; Grey-ordinal priority approach (G-OPA); healthcare; information and communication technology; metaverse; modified total interpretive structural modeling (m-TISM); technology management; INDIA; CHALLENGES; CONSUMERS;
D O I
10.1109/TEM.2024.3400401
中图分类号
F [经济];
学科分类号
02 ;
摘要
The emergence of novel innovations has disrupted multiple service sectors, and healthcare is one such sector that has seen significant changes since the inception of Internet. The incorporation of information communication and technology (ICT) in the healthcare sector has been introduced previously; however, the recent COVID-19 pandemic has exponentially accelerated the use of ICT in the healthcare sector and the demand for contactless health services. The use of technology for online consultation, robot-assisted surgeries, training, and education are some of the common use cases of tech-driven healthcare. Metaverse, the latest innovation that is the amalgam of multiple technologies, like artificial intelligence, augmented reality, virtual reality, and robotics, holds massive potential to deliver high-quality healthcare services (HS) to the masses, eliminate bottlenecks between healthcare providers and patients, and eliminate the need of in-person interaction for availing HS. This article aims to identify the factors that drive the adoption of metaverse in the healthcare industry. Following a mixed-method approach, the article combines secondary academic literature data with primary data from domain experts. A total of 13 enablers are identified for adopting metaverse in the healthcare domain. Subsequently, a hierarchical model reflecting upon the relationship among these factors based on their significance is developed using grey-ordinal priority approach and modified total interpretive structural modeling methodology. The proposed hierarchical model provides valuable insights into these factors' dependencies and relative importance which could empower healthcare organizations and policymakers in making informed decisions and strategic planning for an effective and efficient healthcare system.
引用
收藏
页码:8671 / 8685
页数:15
相关论文
共 107 条
[1]   Metaverse revolution and the digital transformation: intersectional analysis of Industry 5.0 [J].
Agarwal, Ayushi ;
Alathur, Sreejith .
TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY, 2023, 17 (04) :688-707
[2]  
Akour I.A., 2022, Computers and Education: Artificial Intelligence, V3, P100052, DOI [10.1016/j.caeai.2022.100052, DOI 10.1016/J.CAEAI.2022.100052]
[3]   Prediction of User's Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach [J].
Almarzouqi, Amina ;
Aburayya, Ahmad ;
Salloum, Said A. .
IEEE ACCESS, 2022, 10 :43421-43434
[4]  
[Anonymous], 2023, Insigh- tAce
[5]  
[Anonymous], 2018, mentation Plan for a National Artificial Intelligence Re
[6]  
[Anonymous], 2023, The future of healthcare in the metaverse
[7]  
[Anonymous], RURAL POPULATION TOT
[8]   Influential Factors in the Design and Development of a Sustainable Web3/Metaverse and Its Applications [J].
Aria, Reza ;
Archer, Norm ;
Khanlari, Moein ;
Shah, Bharat .
FUTURE INTERNET, 2023, 15 (04)
[9]   Understanding the social sustainability of the Metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach [J].
Arpaci, Ibrahim ;
Karatas, Kasim ;
Kusci, Ismail ;
Al-Emran, Mostafa .
TECHNOLOGY IN SOCIETY, 2022, 71
[10]   Metaverse for 6G and Beyond: The Next Revolution and Deployment Challenges [J].
Aslam A.M. ;
Chaudhary R. ;
Bhardwaj A. ;
Budhiraja I. ;
Kumar N. ;
Zeadally S. .
IEEE Internet of Things Magazine, 2023, 6 (01) :32-39