The impact of service level on the acceptance of application service oriented medical records
Information and Management
Physicians' acceptance of mobile communication technology: an exploratory study
International Journal of Mobile Communications
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Usability and User Acceptance for Personal Health Records: A Perspective from Healthcare Citizens
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
The impact of service level on the acceptance of application service oriented medical records
Information and Management
Physicians' acceptance of telemedicine technology: an empirical test of competing theories
International Journal of Information Systems and Change Management
Explaining physicians' acceptance of EHCR systems: An extension of TAM with trust and risk factors
Computers in Human Behavior
A study of SME private healthcare personnel acceptance of Clinic Information System in Malaysia
International Journal of Business Information Systems
Drug prescription behavior and decision support systems
Decision Support Systems
| Hi-index | 0.00 |
In previous studies, the technology acceptance model(TAM) [1] has been widely used by informationtechnology researchers to gain a better understanding ofinformation technology (IT) adoption and its use inorganizations. While TAM has been applied and tested inacademic and corporate settings, involving students,business managers, clerical and administrative types assubjects, few studies have evaluated TAM in the healthcare environment.This study examines the applicability of the extendedTechnology Acceptance Model (TAM2) [2] in the contextof physicians' intention to adopt Internet-based healthapplications.Data were collected in a survey of pediatricians to seehow well the extended model, fits in the medical sector.Our results partially confirm the model, howeversignificant theoretical aspects were not supported. One ofthe core perception variables, perceived ease of use, didnot predict intention to use in this study. As theorized, theprimary predictor variable perceived usefulness was astrong determinant of intention to use. This paperdiscusses the implications, limitations, and possibleexplanations for the inconsistencies within the modelwhen applied to such professional users as physicians.