The present study acknowledged that considerable part of physicians' attitude toward EMRs' adoption is controlled by organizational contextual factors. These factors should be subsequently the major concern of health organizations and health policy makers.

Nowadays Web-based training (WBT) is the most advanced training methods. With the increasing use of modern methods of training in universities necessity of identification of the factors influencing the acceptance of web-based training becomes more obvious. This study examines the factors influencing the acceptance of web-based training by students. This study was cross-sectional survey and conducted from August to December 2016. As sample, 239 students of Tabriz University of Medical Sciences (TUOMS) were asked to participate in this study and fill the corresponding questionnaires. The unified theory of acceptance and use of technology (UTAUT) was applied to investigate and explain the acceptance of E-learning. The data were analyzed by SPSS v.16. Findings revealed that the web- based training acceptance was directly influenced by performance expectancy, effort expectancy, facilitated condition, and attitude toward technology, self-efficacy, and anxiety. In contrast the impact of the social influences hadn’t been observed on behavior indentation. The findings indicated that UTAUT model explains about 58% of the variance for adoption of WBT. The study not only provides an indicator of students’ acceptance of E-learning, but also recognizes the important factors that would contribute to its successful use. The simulating or disappointing factors effecting use of the E-learning systems in university have been understood in a well-organized way according to the received results. Decision makers should apply these conclusions to improve strategies to align users’ expectations with use of technology use learning.

KeywordsElectronic medical record (EMR), physician, technology acceptance model (TAM), diffusion of innovation theory (DOI), structural equation modeling (SEM) SummaryBackground: In order to fulfill comprehensive interoperability and recognize the electronic medical records (EMRs') benefits, physicians' attitudes toward using and applying EMR must be recognized. Objectives: The purpose of this study was to present an integrated model of applying EMRs by physicians. Methods: This was a cross sectional study in which a sample of 330 physicians working in hospitals affiliated to the Tehran University of medical sciences (TUMS) was selected. Physicians' attitudes toward using and accepting EMR in health care have been analyzed by an integrated model of two classical theories i.e. technology acceptance model (TAM) and diffusion of innovation (DOI). The model was tested using an empirical survey. The final model was tested by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS). Results:The results suggest that the hybrid model explains about 43 percent of the variance of using and accepting of EMRs (R2=0.43). The findings also evidenced that Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Relative Advantage, Compatibility, Complicatedness and Trainability have direct and significant effect on physicians' attitudes toward using and accepting EMRs. But concerning observeability, significant path coefficient was not reported. Conclusions:The integrated model supplies purposeful intuition for elucidates and anticipates of physicians' behaviors in EMRs adoption. The study identified six relevant factors that affect using and applying EMRs that should be subsequently the major concern of health organizations and health policy makers.

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Background Due to the increasing use of informatics as an infrastructure in developing the quality of care and patient safety, informatics competency has become a crucial requirement for nurses. Aim This study was conducted to assess nursing informatics competency, and identify related factors in registered nurses. Method This research is an analytical descriptive study in which the research community included 205 nurses working at Tabriz University of Medical Sciences’ hospitals. The researcher-made questionnaire was developed as a data collection tool (α = 98%). The data was entered into SPSS16 software and correlation analysis and regression were carried out. Results The mean score percentage of total nursing informatics competency was 59.92%. The highest mean score was related to informatics skills (62.98), followed by the informatics knowledge subscale (59%). In addition, informatics competency was positively correlated with self-efficacy ( r = 0.27, p = 0.001), evidence-based practice ( r = 0.55, p = 0.001) and time spent on hospital information systems ( r = 0.16, p = 0.01). Conclusion Computer skills, self-efficacy, evidence-based practice and time spent on hospital information systems are determinant factors of nurses’ informatics competency. Developing nurses’ basic computer skills and incorporating informatics education programmes into the curriculum can enhance nurses’ informatics competency.