Background: The implementation of eHealth systems with a trial-and-error approach is very expensive and unsuccessful. So, this study aims to examine the constructs and relationships of the modified technology acceptance model (TAM) to determine whether it can be applied to assess health professional's behavioral intention to adopt eHealth systems in resource-limited settings or not. Methods: The institutional-based cross-sectional study design was conducted among a total of 384 healthcare professionals in referral hospitals of Amhara regional state, Ethiopia. Selfadministered questionnaire was used to collect the data, and the data were entered using Epiinfo version 7 and the descriptive data were analyzed using SPSS version 25. Structural equation modeling, using AMOS 22, was also applied to describe and validate the degree of relationships between variables. Results: The findings of the structural equation modeling (SEM) indicate that perceived usefulness has a significant influence on attitude (β =0.298, P<0.01) and intention to use eHealth (β =0.387, P<0.01). Perceived ease of use has significant influence on perceived usefulness (β=0.385, P<0.05) and attitude (β=0.347, P<0.05) and intention to use eHealth (β=0.339, P<0.01). Technical infrastructure has significant influence on attitude (β =0.412, P<0.01) and intention to use eHealth (β =0.355, P<0.01). The staffs IT experience has a significant influence on perceived usefulness (β =0.595, P<0.01) and attitude (β =0.267, P<0.05), but the effect of IT experience on the intention to use eHealth was not significant. Among all the constructs, healthcare professionals attitude towards eHealth showed the strongest effect on the intention to use eHealth systems (β = 0.52, P<0.01). Conclusion: Overall, this model describes 56.2% of the variance in behavioral intention to use eHealth systems. Therefore, the implementers should give priority in enhancing the organizations technical infrastructure, staff's IT skill, and their attitude towards eHealth by giving continuous support.

Background: Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and communication in healthcare setting. EMR implementation in developing countries is increasing exponentially. But, only few of them are successfully implemented. Intention to use EMRs by health care provider is crucial for successful implementation and adoption of EMRs. However, intention of health care providers to use EMR in Ethiopia is unknown. Objective: The aim of this study was to assess health care provider's intention to use and its predictors towards Electronic Medical Record systems at three referral hospitals in northwest , Ethiopia, 2019. Methods: Institutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in northwest Ethiopia. Data were analyzed using structural equation model (SEM). Simple and multiple SEM were used to assess the determinants of health care providers intention to use EMRs. Critical ratio and standardized coefficients were used to measure the association of dependent and independent variables, 95% confidence intervals and P-value were calculated to evaluate statistical significance. Qualitative data was analyzed using thematic analysis.

Background: Incorporating electronic medical record systems (EMRs) into the healthcare system is not only about modernizing the health system, but is about saving lives by facilitating communication and practicing evidence-based decision. Globally, more than 50% of EMR projects fail before they reach their target. Even though EMRs are an essential tool for health care, their adoption and utilization remains low in developing countries including Ethiopia. Objective: The aim of this study was to determine health professionals' readiness and associated factors toward the implementation of EMRs in four selected primary hospitals in Ethiopia. Methods: An institutionbased cross-sectional study supplemented with a qualitative approach was conducted on 414 health professionals from March 2 to May 5, 2018 in four selected primary hospitals in Ethiopia. A self-administered questionnaire was used to collect the quantitative data and in-depth interviews were employed for the qualitative data. The data were analyzed using SPSS version 20 software. Descriptive statistics, bivariable, and multivariable logistic regression analyses were done. An adjusted odds ratio (AOR) with 95% CI was used to determine the association between the determinants and the outcome variable. Results: More than half (258; 62.3%) of health professionals were ready to use the electronic medical recording system. EMR knowledge (AOR = 2.64; 95% CI: [1.62, 4.29]), attitude (AOR = 1.63; 95% CI: [1.01, 2.63]), computer literacy (AOR = 3.30; 95% CI: [2.05, 5.31]), and EMR training (AOR = 3.63, ;5% CI: [1.69, 5.80]) were significantly associated with EMR readiness. Conclusion and Recommendation: In general, the overall readiness of health professionals for EMR implementation was found to be low. Comprehensive packages of capacitybuilding are crucial to raise the level of knowledge, attitude, and computer skill among health workers.

Background. Electronic medical record (EMR) systems offer the potential to improve health care quality by allowing physicians real-time access to patient healthcare information. The endorsement and usage of EMRs by physicians have a significant influence on other user groups in the healthcare system. As a result, the purpose of this study was to examine physicians’ attitudes regarding EMRs and identify the elements that may influence their attitudes. Method. An institutional-based cross-sectional study design supplemented with a qualitative study was conducted from March 1 to April 30, 2018, among a total of 403 physicians. A self-administered questionnaire was used to collect quantitative data. The validity of the prediction bounds for the dependent variable and the validity of the confidence intervals and P values for the parameters were measured with a value of less than 0.05 and 95 percent of confidence interval. For the supplementary qualitative study, data were collected using semistructured in-depth interviews from 11 key informants, and the data were analyzed using thematic analysis. Result. Physicians’ computer literacy (CI: 0.264, 0.713; P : 0001) and computer access at work (CI: 0.141, 0.533, P : 0.001) were shown to be favorable predictors of their attitude towards EMR system adoption. Another conclusion from this study was the inverse relationship between physicians’ prior EMR experience and their attitude about the system (CI: -0.517, -0.121; P : 0.002). Conclusion. According to the findings of this study, physicians’ attitudes regarding EMR were found moderate in the studied region. There was a favorable relationship between computer ownership, computer literacy, lack of EMR experience, participation in EMR training, and attitude towards EMR. Improving the aforementioned elements is critical to improving physicians’ attitudes regarding EMR.

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