چکیده:
The aim of this study is to analyze the factors affecting the acceptance of electronic health on the basis of the theory of planned behavior. E-health is a growing field of health communication that entails using medical informatics, public health, and trades. As a result, E-health facilitates the provision of health information and services through the internet and related technologies. In this regard, this study aims to explain the acceptance of e-health by its beneficiaries such as physicians, patients, and healthcare managers. The results have shown that the most important factors affecting the acceptance of e-health are: 1. Organizational related factors of e-health services; 2. Human-related factors of acceptors; 3. Environment-related factors; 4. Factors associated with financial sources and expenditures; 5. Technical and infrastructural factors. Taking advantage of interpretive structural modeling, we demonstrated these factors and determined the level of their reciprocal relations.
خلاصه ماشینی:
World Health Organization defined e-health as a safe and affordable usage of electronic information and communication technologies in support of health-related fields including healthcare, supervision, health education, knowledge, and health researches.
Moreover, e-health as an integrated and multidisciplinary field that can connect the following principal areas: strategic planning of health systems, e-marketing concepts, and all electronic medical forms that are related to occupational health professionals, teamwork and extensive investment in health technology management (Leung and Chen, 2019).
During the implementation of an Information System , organizational managers are suggested focusing on critical factors affecting adoption of E- health services (Chang et al.
• Organizational factors related to e-Health services A study about acceptance of an e-hospital service showed that Technology Acceptance Model (TAM) external variables, included “user's characteristics”, “systematic characteristics” and “organizational support”.
• Human factors related to the host In the present research, the primary factors influencing the adoption of electronic health were identified and classified using the theory of planned behavior, taking into account the importance of human treatment approach in the acceptance of new services and technologies.
• While many related studies have only identified e-health acceptance factors, this paper presents a structured interpretation model of factors that indicate ranking and dependence among them.
For this purpose, Interpretive Structural Modeling has been used to identify the factors affecting e-health acceptance and the relationships among them.
To represent Interpretive structural modeling of the factors affecting the adoption of e-health, we have considered e-health as a set of technologies used in hospital systems and other healthcare services.