Factors Influencing Patient Adoption of the IoT for E-Health Management Systems (e-HMS) Using the UTAUT Model: A High Order SEM-ANN Approach

Factors Influencing Patient Adoption of the IoT for E-Health Management Systems (e-HMS) Using the UTAUT Model: A High Order SEM-ANN Approach

Manish Dadhich, Kamal Kant Hiran, Shalendra Singh Rao, Renu Sharma
Copyright: © 2022 |Pages: 18
DOI: 10.4018/IJACI.300798
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Abstract

This study examines factors influencing patients' adoption of the IoT for e-Health Management System (e-HMS). A conceptual framework is built by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to achieve the research objectives. The constructs viz. performance expectations, perceived healthcare threat, facilitation, and trust were employed to analyze the behaviour intention of healthcare IoT devices in the medical context. A questionnaire was prepared and circulated to 210 IoT healthcare users. Further, a synergy of Smart-PLS and ANN was used to determine factors influencing adopting the IoT for e-HMS. The study yields a novel insight that would render vital benefits to users and service providers. The outcomes of this research can assist IoT inventors, medicinal specialists, and vendors to enhance the optimization of e-HMS. The results make some new reporting facts to improve IoT 4.0 practices in the e-healthcare system and structural model assessment.
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1. Introduction

The Internet of Things (IoT) is a system of precisely accessible networked devices that communicate in real-time using standard IP-based communication protocols. Sensors for smart things can range from simple sensors like RFID and biometrics to ultrasonic sensors with motion detection and metering capabilities for electricity, water, and gas. The moment has come to figure out what will entice customers to use the IoT device in different fields. Healthcare is a broad field for breakthrough technologies. Innovative technologies, such as the IoT, have enabled advanced services to people's lives due to inventing new devices, processes, data handling methods, and other revolutions. IoT gadgets, particularly connected medical equipment, are becoming more accessible and easier to use (Li et al., 2021).

Similarly, e-health denotes healthcare facilities that utilize the Internet, including attached devices, computers/gadgets, smartphones, websites, and applications (Akhter & Sofi, 2021). E-health is one area where the IoT can create a landmark, with potentially significant economic and societal implications (Almugari et al., 2020). In the words of (Arjun et al., 2021; Cherif et al., 2021), the dynamic lifestyle of the twenty-first century, the IoT, has made healthcare systems more reachable from anywhere and at any time. Nowadays, substantial technological enhancements in software and electronic devices have been established for a reliable, efficient, adaptable, patient-centred environment (Dhagarra et al., 2020). According to (Elrahman & Saleh, 2021), healthcare is a big market for a novel way of medical treatment. The adoption of advanced devices, Arduino measures, methods of data analysis, and other signs of progress have permitted advanced know-how, i.e., IoT, to facilitate innovative services critical to the publics' lives. More precisely, IoT gadgets, such as connected medical equipment, are becoming more accessible and user-friendly. The concept 'IoT' was first proposed in 2005 that denotes a network of interrelated things that includes software, Arduino, and networks. The system comprises sensing devices that can direct and communicate with the users (Dash, 2020). Proactive, predictive, customized, and participative healthcare is becoming popular world-wide. Increased digitization of healthcare is at the root of these trends (Ben et al., 2021b).

Scholarly evidence (Garg et al., 2021; Grimblatt et al., 2019) refers to IoT as a web of associated medical devices that could create, gather, store data and connect to a system. The system also analyzes the valid data transmission of various medical images, biological and vital body signatures, and functional genomic data. According to (Ho-sam-sooi et al., 2021), IoT is a novel technology archetype for the next era, intended as an active world-wide network of interconnected gadgets and machines. It is based on various criteria and enables tools with multiple practices, such as sensing, detecting, networking, communication, storing, computing capabilities (Hossain et al., 2021). Previous literature (Dadhich, Purohit, et al., 2021; Hossein & Forouharfar, 2020; Karthick et al., 2021) also confirmed the other words associated with IoT, which include Machine to Machine (M2M), which refers to a device linking to an extra device over a network. The Web of Things (WoT) is the second, meeting software standards for developing services and applications that can interact with various web devices. The next base is the Internet of Everything (IoE), connecting things, people, procedures, and data. The Cloud of Things (CoT) is the fourth technology, which permits users to analyze, operate remotely, and rheostat related items and equipment (M. Sharma et al., 2010). Furthermore, the fundamental strength of IoT impacts various parts of people's daily life. The effect of the IoT on user behavior has recently sparked researchers' curiosity. IoT devices can make decisions independently and render information to users to make the best judgments possible.

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