Background: There has been an increasing interest in the area of Electronic Medical Records (EMR) and more and morernhospitals all over the world try to keep their patientsâ€™ records electronically. The adoption of EMR has become a rnmajor concern in the healthcare industry, as it is a key factor to the healthcare quality improvement. In Ethiopia, thernimplementation of Electronic Medical Record (EMR) is through software called SmartCare. SmartCare software possessesrnnumerous advantages and features such as Simultaneous, remote access to patient data, Legibility of record, Safer data,rnPatient data confidentiality, greater range of data output modalities and Service Integration within the facility (laboratory,rnpharmacy, prescription & scheduling). However, these systems are not used by the health workers in Addis AbabarnRegional Public hospitals. rnrnObjective: The objective of this study was to identify and measure the factors affecting the behavioral intention and usagernbehavior of health workers EMR-SmartCare Software adoption in public Hospitals of Addis Ababa City Administration. rnrnMethodology: To identify the factors affecting the utilization of EMR-SmartCare software, a cross-sectional descriptivernstudy which was quantitative were employed and a total of 303 study participants were randomly selected from healthrnworkers based on their population size proportionally in selected 5 regional hospitals of city administration using Selfadministeredrnquestionnaires.rnrnrnrnResults: The findings provide strong empirical support for all of the main constructs mentioned in the research model,rnwhich posits five direct determinants of intention to use EMR-SmartCare software and another two direct determinants ofrnactual Use Behavior as follow: Performance Expectancy(PE), Effort Expectancy(EE), Social Influence (SI), ComputerrnAttitude(CA), Personal Innovativeness in IT(PIIT) as determinant of Behavioral Intention and; FacilitatingrnConditions(FC) and Behavioral Intention(BI) as determinants of Actual Usage Behavior(AUB). These results maintainrnenough explanatory power R2 =.702 (Adjusted R squared=.333) to help explain the intentions and actual use behavior ofrnhealth workers in adopting EMR- SmartCare software. rnrnConclusion: These research findings indicate that the variables in the proposed research model significantly andrnpositively impact the behavioral intention and actual use behavior to adopt EMR-SmartCare software. Among these,rnattitude towards computers has the most significant positive impact on adoption intentions. Therefore this study suggestsrnthat in order to enhance the intention to adopt and use EMR-SmartCare software, hospitals should strengthen independentrnimpact variables, including Attitude towards Computers, Performance Expectancy, Effort Expectancy, Social Influence,rnFacilitating Conditions and Personal Innovativeness in IT. rnrnIn view of the fact that the achieved conceptual framework considers the particular characteristics of the health workers,rncontributions and implications of this study are significant both at the theoretical level as well as the practical level. Thisrnstudy not only provided some interesting findings and suggestions for practice but also produced a paradigm for scholarsrnwho are interested in the behavior of technology adoption for health care sectors.