# Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia
## 7 Conclusions  
This study proposed and examined the model of user adoption intention on the use of e-health laboratories from task characteristics, technology characteristics, task technology fit, information quality, accessibility, design, and personal innovation through perceived usefulness and perceived ease of use. This model can provide an initial step towards implementing an e-health laboratory system in Indonesia. This model is likely to generate preferable data because it requires a user-related perspective to determine the characteristics of e-health laboratory systems by considering the technical aspects so that it allows customers to focus on the visible characteristics of technology in e-health laboratories.  
The most dominant factors that directly affect the user's intention to adopt an e-health laboratory system are technology characteristics followed by perceived usefulness and design factors. All three factors have a significant direct impact on users' intentions to adopt an e-health laboratory system. The perceived usefulness factor has positive utility, so it has a significant role in the application of e-health laboratory systems. In contrast, the design factor on perceived usefulness as a negative utility in user confidence does not have a significant impact on the intention of Indonesian users to use an e-health laboratory system. As a result, we can conclude that Indonesian users can be characterized by their own considerations for the perceived usefulness factor that they will get, and then they leave aside designs that may be difficult to use, but they still have the intention to adopt new technologies.  
The design problems related to perceived ease of use and technology characteristics have also proven to be determinants of adoption of e-health laboratory payments although their impacts are not immediate. Task-technology fit, information quality, accessibility, and personal innovativeness also have an indirect impact on e-health laboratory adoption through perceived usefulness. Consequently, e-health laboratory service providers must plan awareness programs regarding the benefits of use, quality information, and ease of access to e-health laboratories so that customers are ready to suggest their relatives to use an e-health laboratory system.  
Overall, this research shows that the characteristics of e-health laboratory systems have proven their significant influence on the intention to adopt e-health laboratories for consumers in Indonesia. Finally, Indonesian users will be inclined to pay attention to the perceived benefits they receive and accept risks when adopting technology in an e-health laboratory system.  
Conceptualization, D.R., A.N.H., and S.H.; methodology, D.R., S.H., and D.N.; data collection, D.R. and S.H.; analysis, D.R., A.N.H., S.H., and D.N.; resources, D.R. and S.H.; discussion, D.R., A.N.H., S.H., and D.N.; writing--original draft preparation, D.R., A.N.H., S.H., and D.N.; writing--review and editing, D.R., A.N.H., S.H., and D.N. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
**Data Availability Statement:** Not Applicable, the study does not report any data.  
**Acknowledgments:** The authors would like to thank the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia (RISTEKDIKTI) for supporting this research through Post-Doctoral Research. This study is a follow-up funded privately as a continuation of the Post-Doctoral grant research \"Health Information Technology on Information System Acquisition and Classification of Single Pap smear Cell Image for Early Detection of Cervical Cancer\".