Abstract
Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.
Highlights
The development and the use of the internet are increasing in many countries along with the development of Information and Communication Technology (ICT) nowadays
Some research questions that will be answered in this study are: (1) What are the determinants that influence e-health laboratory adoption, perceived usefulness, and perceived ease of use for users in Indonesia? (2) Do Task Technology Fit (TTF), technology-driven, and human-driven have a direct effect on perceived usefulness and perceived ease of use on e-health laboratory adoption? (3) Do perceived usefulness and perceived ease of use affect the adoption of e-health laboratories? To answer these questions and provide a better understanding of the integrative factors of e-health laboratory adoption in Indonesia, we developed a theoretical model that combines the DeLone & McLean (D&M) model and the
We found that TTF and personal innovativeness did not have a significant effect on the perceived ease of use variable, but TTF showed a significant effect on the perceived usefulness along with information quality, accessibility, and personal innovativeness variables
Summary
The development and the use of the internet are increasing in many countries along with the development of Information and Communication Technology (ICT) nowadays. In. Indonesia, the use of the internet is growing rapidly. In Indonesia, internet users have increased from 2 million in 2000 to 143.26 million in 2019 or 53.20% of the total population in Indonesia [2,3]. Digital health software applications increasingly become the choice of people in Indonesia, one of which is an e-health laboratory system service that applies a new approach to the health service system. The e-health laboratory system is a new approach to the health service system facilitated by electronic processes, internet communication, and other related technologies [4]. The use of e-health includes the provision of health services related to data, management, and interactions between health professionals
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