Toward Digital Hospital Services: Developing an Integrated Model to Understand Patient Intentions for Utilizing Online Hospital Service Platforms

Abstract

In view of the low user acceptance rate of online medical, this study aims to explores the factors affecting users’ intention to use online hospital service platform (OHP) based on the unified theory of acceptance and use of technology (UTAUT) and the health belief model (HBM). This study adopts a quantitative research method, collects 440 valid responses from Sichuan province by convenience sampling. The reliability and validity analysis are conducted by SPSS and AMOS, and the proposed research hypotheses are verified by structural equation model. The results uncovers facilitating condition, performance expectancy, effort expectancy, perceived susceptibility and perceived severity significantly positively affect users’ intention to use OHP. Furthermore, this study constructs a integrated model to encourage the users to accept the online hospital service platform, hence enhancing the accessibility and efficacy of healthcare services in a digital landscape.