<![CDATA[Electronic Medical Records (EMR) adoption aims to improve documentation efficiency and nurses’ performance; however, system instability and limited continuous training remain obstacles. This study examined the effects of EMR features and functionality, technical support and training, and users’ perceptions and attitudes on nurses’ performance at Grha Permata Ibu Hospital. This study employed an analytic observational design with a cross-sectional approach, using a quantitative survey conducted among 74 inpatient nurses through a Likert-scale questionnaire. Descriptive analysis, Spearman correlations, and multiple linear regression were employed. Results indicate that features and functionality (X1) have a strong positive association with performance (p = 0.652; p < 0.001), and users’ perceptions or attitudes (X3) show a moderate positive association (p = 0.482; p < 0.001), while technical support and training (X2) are not significant when assessed partially. Collectively, the three variables explain 67% of performance variance. These findings underscore the importance of a reliable system, relevant functionality, and user acceptance in optimizing EMR use. Key gaps include the lack of periodic training and issues with system stability and inter-unit integration. Continuous, structured training, more responsive technical support, and improvements to system quality and stability are recommended to maximize EMR utilization and enhance nurses’ performance and the quality of nursing services.]]>
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