Examining the factors affecting the adoption of e-health innovative technology

Apr 03, 2018


Published in: International Journal of Economics and Business Research

In today's world, many modern health facilities have started using e-health with the aim of improving health services by managing its costs, patient waiting time, and other services. Nevertheless, there are numerous studies exploring the barriers to e-health adoption. Concentrating on innovation in the healthcare industry, the present study explores the external factors that predict patients' behavioural intention to use a personal health record (PHR) as an important part of the electronic patient-physician relationship. Empirical research is used to identify a conceptual framework illustrating the relation between patients' behavioural intention and the proposed factors: governmental incentives, physician support and hospital management support. The framework is tested by using data collected from Canada as a case study through a well-designed survey. The results of multiple regression analysis indicate that the proposed factors were significantly predicted as the perceived ease of use and perceived usefulness of PHR innovative technology. The perceived usefulness factor was significantly predicted in the behavioural intention to use PHR. Some procedures and actions should be considered by government and healthcare policy makers to manage the adoption and support the usage of PHR application

Other Researches

Marketing communication in the digital age: Exploring the cultural historical activity theory in examining Facebook's advertising platform

Facebook is the leading social media platform, with more than 1.8 billion users. The growth of Facebook has been a phenomenon, and the demographics of its users cut across all social strata. Businesses have taken note of Facebook's online presence a...

Enhancing internal communication in organisations using enterprise social networking

Effective internal communication is crucial for organisations' success as it affects the ability of strategic managers to engage employees and achieve objectives. At the end of year 2013, over 90% of Fortune 500 companies had partially or fully impl...

A multi-cycled sequential memetic computing approach for constrained optimisation

In this paper, we propose a multi-cycled sequential memetic computing structure for constrained optimisation. The structure is composed of multiple evolutionary cycles. At each cycle, an evolutionary algorithm is considered as an operator, and conne...