Abstract:
Background: The integration of the EMRs system is slowly being introduced in healthcare environments. The EMR is a technology that enables healthcare practitioners to enhance the quality of digital health services compared to conventional records on paper, which has significant potential to enhance healthcare quality both in industrialized and developing nations. This research sought to evaluate acceptability of EMRs and computer self-efficacy among health professionals. Objectives: 1. To assess PU of EMR, 2. To assess PEOU of EMR, 3. To assess computer self-efficacy. Method: A cross-sectional study was used to determine the acceptability of EMRs among 88 healthcare providers. A selfadministered questionnaire was employed, which was designed guided by the TAM. The questionnaire aimed to evaluate the perceived usefulness, perceived ease of use, and computer self-efficacy of the EMRs. The data analysis for this study was conducted using IBM SPSS Statistics 20 as the software tool. Statistical methods including correlation analysis, demographic statistics, and inferential statistics (specifically chi-square test) were employed to analyze the data. Results: The majority of the participants in the sample were nurses (51%), with females comprising 53.4% of the attendees. Married individuals accounted for 65.9% of the participants, while those with an advanced diploma represented 59.1% of the sample. Among the respondents, 30.7% had 6-10 years of working experience. Healthcare providers exhibited a favorable view regarding the effectiveness and user-friendliness of EMRs, indicating their acceptance of the technology. The results revealed a significant positive correlation between PU and PEOU (r=0.319, p=0.02). Additionally, a significant correlation was observed within computer selfefficacy and PEOU (r=0.257, p=0.01). A significant association was also found within PU and the type of healthcare provider (p=0.026). Conclusion: This study contributes to the expanding information base regarding the acceptance of technology in the field of health informatics, specifically examining healthcare providers' acceptance of electronic medical records (EMRs).
