Understanding Physicians' Adoption Of Electronic Medical Records: Healthcare Technology Self-Efficacy, Service Level And Risk Perspectives

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Charlie Chen Ph.D, Professor (Creator)
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/

Abstract: Most developed countries across the globe are deploying electronic medical record (EMR) as one of the most important initiatives in their healthcare policy. EMR can not only reduce the problems associated with managing paper medical records but also improve the accuracy of medical decisions made by physicians and increase the safety of patients. Considering that physicians are the primary users of EMR, their willingness to use EMR is a critical success factor for EMR implementation in a hospital. This study aims to extend an individual-level information technology adoption model by incorporating three additional variables to investigate whether the individual characteristics of a physician affect EMR adoption. A field survey is conducted with a total of 217 physicians from 15 different academic medical centers and metropolitan hospitals for six weeks. Then, the Structural Equation Modeling (SEM) analysis results indicate that perceived service level is an important antecedent of perceived usefulness. Healthcare technology self-efficacy, perceived risk, and perceived service level are also important antecedents of perceived ease of use. This study is concluded with implications for academics, hospital managers, governments, and medical information service providers.

Additional Information

Yu, W., Tsai, M., Hung, S., and Chen, C.C. (2019). Understanding Physicians’ Adoption of Electronic Medical Records: Healthcare Technology Self-Efficacy, Service Level, and Risk Perspectives. Computer Standards & Interface, 66, 1-11. https://doi.org/10.1016/j.csi.2019.04.001. Publisher version of record available at: https://www.sciencedirect.com/science/article/pii/S0920548918300850
Language: English
Date: 2019
Health information technology, Electronic health record system, Perceived service level, Perceived risk, Electronic medical record, Healthcare IT adoption/acceptance

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