Cloudiot-based healthcare adoption by healthcare professionals: a conceptual model

• Main Authors: Altawaiha, Iyad, Atan, Rodziah, Yaakob, Razali, Abdullah, Rusli, Sneesl, Radhwan
• Format: Article
• Published: Little Lion Scientific 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/100710/; http://www.jatit.org/volumes/onehundred23.php
• Institution: Universiti Putra Malaysia

In hospitals and healthcare facilities, the conventional healthcare setting is highly monotonous and inefficient, and it does not scale up to meet the present demand for healthcare services. Driven by the increased world population aging and the spread of pandemics, it has become essential to build cohesive and organized healthcare systems that seek to reduce clinical costs and the burden placed on healthcare institutions. The fast development of new technologies has recently sparked a worldwide revolution dubbed the 4th Industrial Revolution that used to improve healthcare services and introduce the concept of Healthcare 4. An example is CloudIoT-based healthcare which contributes to the development of effective healthcare systems that manage and monitor hospitals and patients and improve the quality of healthcare services. Although there are many benefits to using this technology, there is a disparity between its advanced development and its actual usage among healthcare professionals. This research study determines a gap in the current research on investigating the factors influencing healthcare professionals' adoption of this technology since prior studies focused primarily on the functionality and design of its systems, while adoption of such systems is lacking in these studies. The most common models for predicting and evaluating technology acceptance and use are the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The aim of this study is to review the relevant literature for these three models and provide a conceptual model for healthcare professionals' adoption of CloudIoT-based healthcare.