Abstract
The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.
Highlights
Internet of things (IoT) is probably the most sizzling innovation in the period of digital transformation, connecting and ensuring the availability of every device over the Internet
For the first time, a hybrid fuzzy multicriteria decision-making approach based on fuzzy logic, Analytic Hierarchy Process (AHP), and TOPSIS is proposed for dealing with the Internet of medical things
Using fuzzy set theory with AHP to obtain the weights of the criteria of TOPSIS can minimize the ambiguities and doubts that are still roadblock in decision making about IoT challenges, especially for healthcare
Summary
Internet of things (IoT) is probably the most sizzling innovation in the period of digital transformation, connecting and ensuring the availability of every device over the Internet. It is the most significant innovation behind smart homes, driving vehicles, smart utility billing, and intelligent urban communities [1]. Be that as it may, there are so many fundamental challenges for the eventual fate of the IoT. For the IoT business to flourish, Mobile Information Systems there are three classifications of difficulties to survive, and this is valid for any new pattern in innovation, not just IoT: innovation, business, and society [6]
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