Background: Mobile applications are among effective learning tools and have a significant role in transferring information and knowledge to nurses. The current study was carried to identify the factors affecting nurses’ use of practical health related mobile applications in education and patient interaction based on the combined Technology Acceptance Model (TAM) and Diffusion of Innovation (DOI). Method: The study is a descriptive-analytical study with a cross-sectional method. The research population includes nurses working at Tabriz University of Medical Sciences hospitals, 150 of which were selected as the research sample using simple and available sampling. The data collection instrument was a questionnaire, the validity and reliability of which were confirmed (α = 0.9). Data analysis was carried out using a correlation test and regression analysis by applying SPSS _v16 software. Results: The findings show that perceived usefulness and perceived ease of use have a direct and significant effect on the rate of using mobile applications by nurses (P value ≤ 0.01), [(β = 0.52), (β = 0.40)]. Other findings indicate that relative advantage, compatibility, trialability and observability, have a direct and significant effect on nurses’ use of mobile applications, while complicatedness does not have a significant effect. Conclusion: The current study identifies the effective factors in nurses’ use of health-related mobile applications based on an integrated model of TAM and DOI. Designers of mobile applications should consider these factors in designing and developing programs so that mobile applications can successfully fulfill their purpose in healthcare.

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.

Summary: Objective: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM.Methods: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users’ perception of applying information technology was studiedby a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis.Results: The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the per -ceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users’ attitudes towards HIM. PU was relatively more associated ( r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM.Conclusions: Users’ perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.

Electronic Medical Record (EMR) offers remarkable facilities such as reducing medical errors, decreasing healthcare costs and promoting quality of healthcare services by collecting, storing and displaying information at the point of care. This study was carried out to identify the determinants of electronic medical record (EMR) adoption by presenting a comprehensive model. This was a cross-sectional study in which 330 healthcare personnel working in hospitals affiliated to Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran, were selected as the study sample. A proposed conceptual path model of technology, organization and environment (TOE), and technology acceptance model (TAM) was developed to identify the determinants of EMR adoption. The model was authorized by structural equation modeling (SEM) and represented by Analysis of Moment Structures (AMOS). The results of the study showed that the integrated model of TOE-TAM explained 68 percent (R2 = 0.68) of the variance of EMR adoption. The findings also evidenced that perceived ease of use, perceived usefulness, technological context, organization context and environmental context have significant effect on EMR adoption. The study findings suggest that the proposed conceptual integrated model of TOE-TAM is a favourable model for identifying the relevant factors of EMR adoption. The present study clearly recognized nine significant determinants that affect end-users' intention when comprehensive implementation of ERMs is considered.