Intelligent Healthcare: Evaluation Potential Implications of Metaverse in Healthcare Based on Mathematical Decision-Making Framework
Journal Title: Neutrosophic Systems with Applications - Year 2023, Vol 12, Issue 1
Abstract
The Metaverse has the ability to restructure and change the manner in which individuals connect with one another as well as the activities that they carry out on a daily basis. One definition of a Metaverse describes it as "a virtual, digital, and three-dimensional universe formed by the integration of various cutting-edge technologies and virtual places." In this piece, we will explore the potential applications of the Metaverse in the medical field. Our conversations on the notion of the Metaverse and the primary technologies that make it possible are both thought-provoking and in-depth. In this article, we study and analyze the possible uses of the Metaverse in the healthcare industry, including telemedicine and telehealth, medical education and training, medical marketing, healthcare supply chain, healthcare facilities, as well as fitness and wellness. The primary obstacles that prevent the broad implementation of the Metaverse in healthcare are discussed in this paper. Finally, evaluating implications of leveraging Metaverse in healthcare is discussed. Best Worst Method (BWM) is deployed with Triangular Neutrosophic Sets (TriNSs) to estimate criteria’s weights where five criteria have been determined for alternatives of Metaverse. These alternatives are evaluated and ranked through weighted sum model (WSM) with help of TriNSs. The findings of this process demonstrated that Metaverse alternative 1 (MeT1) Health Surveillance is optimal according to global score. Antithesis Metaverse alternative 3 (MeT3) Virtual surgical is least one.
Authors and Affiliations
Ibrahim Elhenawy, Sara Fawaz AL-baker, Mona Mohamed
Keywords
Related Articles
- EP ID EP729592
- DOI https://doi.org/10.61356/j.nswa.2023.99
- Views 43
- Downloads 0
CT Image Segmentation Using Optimization Techniques under Neutrosophic Domain
In this paper, we introduce a hybrid technique between optimization algorithms and neutrosophic theory. This new hybridization can deal with uncertainties in brain computed tomography (CT) images in three different membe...
Modeling Metaverse Perceptions for Bolstering Traffic Safety using Novel TrSS-Based OWCM-RAM MCDM Techniques: Purposes and Strategies
The Metaverse has the potential to revolutionize various aspects of human life, including transportation systems. The integration of the Metaverse into intelligent transportation systems has the potential to significantl...
Neutrosophic Model to Examine the Challenges Faced by Manufacturing Businesses in Adopting Green Supply Chain Practices and to Provide Potential Solutions
Several obstacles stand in the way of companies trying to adopt green supply-chain practices. The purpose of this research is to examine the challenges faced by the industrial industry in adopting green supply chain prac...
An Analysis of Obesity in School Children during the Pandemic COVID-19 Using Plithogenic Single Valued Fuzzy Sets
The objective of this research is to examine the perception that school children with obesity, when excluded from organized academic performance and constrained to their residences during the coronavirus epidemic 2019, w...
Choosing Optimal Supply Radius of Transformer Substations (TSs) in Iraq’s Cities Using Geometric Programming with Neutrosophic Coefficients
Numerous uncertainties exist in various electricity power system problems due to the size, complexity, geographical distribution, and influence of unforeseen events in these systems, making it difficult for traditional m...