JISARA

Abstract: This quantitative predictive correlation study evaluated factors associated with the unified theory of acceptance and use of technology (UTAUT) that contribute to the adoption of telemedicine. Specifically, the study determined whether the independent variables of performance expectancy, effort expectancy, social influence, and facilitating conditions significantly predicted healthcare patients’ adoption of telemedicine in the Nashville Metropolitan Area. The Nashville Metropolitan Area is renowned for its healthcare technology industry and highly respected healthcare community, yet many regional hospitals in the area have closed, making healthcare access difficult for many residents. The COVID-19 pandemic exacerbated healthcare access challenges. Telemedicine offers a solution to limited healthcare access, but solutions are only viable if patients are willing to adopt new technology. The literature review supporting this study identified knowledge gaps regarding patients’ perceptions and attitudes toward telemedicine adoption and use Nashville Metropolitan Area. The survey data were analyzed using multiple linear regression analysis, and the findings indicated that performance expectancy, social influence, and facilitating conditions explained 50.8% of the variance in participants’ behavioral intentions to adopt telemedicine. Further research is needed to examine specific telemedicine applications and patient experiences in various contexts. However, healthcare leaders and organizational decision-makers can use the study’s findings to decide when telemedicine is most appropriate, increase telemedicine implementation success, and improve patient care services.

Download this article: JISARA - V18 N3 Page 61.pdf

Recommended Citation: Vegi, L., Lind, M.R., (2025). Predictive Analysis of Patients’ Telemedicine Adoption in the Nashville Metropolitan Area – An Application of UTAUT Model. Journal of Information Systems Applied Research and Analytics 18(3) pp 61-76. https://doi.org/10.62273/RJHQ7807