Determinants of Telemedicine Security Readiness Among ICT Professionals: Extended UTAUT Model

Ensuring strong security readiness in telemedicine is essential to protect patients, safeguard their data, and build confidence and satisfaction in today’s digital healthcare platforms. Hence, this research explores and evaluates the maturity of telemedicine services from the perspectives of ICT professionals focused on security readiness. A case study with a stratified survey was conducted among ICT personnel in public hospitals in Malaysia, revealing critical gaps by examining professionals in authority for system security, data fortification, infrastructure resilience, and operational endurance of the telemedicine platform. The UTAUT model employed in this study incorporates two additional constructs, Trust in Technology and Adaptability. Trust in technology captures confidence in system safety, data privacy, and dependability. The adaptability, focused on system technical areas and user-related factors, towards secure telemedicine adoption. The SPSS Statistics Version 21 was used to analyze the data, retaining descriptive statistics, reliability testing, correlation analysis, and multiple regression. Results indicated a generally high level of security readiness among ICT professionals, with strong Trust in Technology and Adaptability to telemedicine systems. Facilitating Conditions, particularly the availability of secure infrastructure and technical safeguards, emerged as the most influential factor and significantly predicted Performance Expectancy. Although Trust in Technology and Adaptability exhibited strong positive correlations with key UTAUT constructs, their effects were statistically significant in the regression analysis, supporting all proposed hypotheses, including their influence on Satisfaction, which suggests a direct role in shaping security readiness.

@article{Ali2026,
  title     = {Determinants of Telemedicine Security Readiness Among ICT Professionals: Extended UTAUT Model},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {4},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Fazlina Mohd Ali and Afraa Mohammed Mohammed Gaashan and Marizuana Mat Daud and Rimaniza Zainal Abidin},
  doi       = {10.14569/IJACSA.2026.0170423},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170423}
}