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1 2024

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IoB-TMAF: Internet of Body-based Telemedicine Adoption Framework

Ghiwaa Taif, Khan Imran, White Martin, Beloff Natalia

Annals of Computer Science and Information Systems

2024

Vol. 39

343-–353

Saudi healthcare organizations are increasingly using Telemedicine (TM) services to reduce expenses and improve the effectiveness of healthcare delivered. Population aging and the growth of the costs of chronic diseases management has an urgent problem that requires the use of technical solutions that contribute to expanding and improving healthcare services and addressing these issues. Consequently, the growing investments in developing TM products and services have made user acceptance of technology crucial in ensuring effective use. The purpose of this study is to explore the factors influencing Saudi patients and healthcare providers to adopt Internet of Body (IoB) technologies to support diagnosis in TM settings. The Technology Acceptance Model (TAM) is employed in this study as the foundational theoretical framework, extending it with additional constructs to fit the context. The IoB-TMAF model identifies factors influencing the adoption intentions of patients and providers for IoB-based TM system. The influencing factors stem from users' individual contexts (social influence, self-efficacy, attitude, and perceived trust), technological contexts (perceived usefulness, perceived ease of use, task fit, reliability, perceived cost, and perceived privacy control), organizational contexts (facilitating conditions), and health contexts (perceived health risk). This study adds to the existing literature by introducing a comprehensive model to explore the motivational factors driving the effective adoption of IoB-based TM in the Kingdom of Saudi Arabia (KSA). Thus, formulating a strategy for the proper execution aligned with the viewpoints of its users.