A Study to Understand the Factors Influencing Telemedicine Utilisation after COVID-19, using the Technology Acceptance Model in Gandhinagar

Abstract

COVID-19 has been a most extraordinary accelerator in driving global digital transformation. A fundamental objective behind this success has been to increase the reach and connection of public services, particularly those focused on saving lives and livelihoods. Facing the global health crisis, telemedicine (healthcare services delivered through digital means) connected patients and healthcare providers when face-to-face consultations were impossible. Although being an essential component in combating the health crisis during COVID-19, there is little information about patient satisfaction with these treatments. This study has been carried out to investigate the factors influencing the acceptance of telemedicine services among the population of Gandhinagar. The research has developed the Technology Acceptance Model to hypothesise a theoretical framework for explaining user behaviour and attitude towards telemedicine. The responses were looked at using confirmatory factor analysis and structural equation modelling, which showed that factors like voice quality, friendliness of the doctor, perceived usefulness, costs, and perceived ease of use significantly affected peoples plans to use telemedicine services.

Keywords: COVID-19, Hypothesise, Technology Acceptance Model, Telemedicine, Theoretical Framework

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