Using wireless technologies in healthcare
International Journal of Mobile Communications
A secure mobile healthcare system using trust-based multicast scheme
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Applying the technology acceptance model to the introduction of mobile voting
International Journal of Mobile Learning and Organisation
Hi-index | 0.01 |
The proliferation of mobile communication and computing technologies in supporting highly specialized tasks and services in health care has made it increasingly important to understand the factors essential to technology acceptance by health care professionals. This paper presents a conceptual model to examine what determines medical professionalsý acceptance of mobile healthcare systems. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to test the reliability and validity of the measurement model. The results indicate that compatibility and computer self-efficacy (CSE) have significant direct effect on behavioral intent, whereas technical support and training have strong indirect impact on behavioral intent through the mediator of CSE. Among these, the compatibility has the most significant contribution to behavioral intent. Yet, the hypothesis for management support effect on behavioral intention to use is not supported.