Analisis Faktor Keberhasilan Implementasi Rekam Medis Elektronik (Rme) Dalam Mengoptimalkan Layanan Pasien Digital Berbasis Dataset Kaggle

The success of electronic medical record (EMR) implementation depends not only on technology availability, but also on information quality, service quality, user readiness, and organizational support. Studies linking EMR implementation to patient service outcomes remain limited. Objective: To analyze the determinants of successful EMR implementation in optimizing digital patient services using the HCAHPS-Hospital dataset from Kaggle, and to explore EMR users' experiences at RSU Royal Prima Medan. Methods: This study used a mixed-methods sequential explanatory design. The quantitative phase used secondary HCAHPS-Hospital data (325,856 observations), from which 450 samples were selected by simple random sampling and analyzed with chi-square tests and binary logistic regression. The qualitative phase consisted of in-depth interviews with nine purposively selected informants. Results: 57.3% of samples were in the Satisfied category. In bivariate analysis, all variables (AP, LMV, NOC, SRR, Question, and AD) were associated with the Patient Survey Star Rating (p < 0.001), although the AP result should be interpreted cautiously because chi-square assumptions were not met. In multivariate analysis, AP, NOC, and SRR were not significant. The final model showed that Question (OR = 46.423; 95% CI: 15.774–136.622) and AD (OR = 14.755; 95% CI: 5.065–42.985) were significantly associated with patient satisfaction (Nagelkerke R² = 0.854; classification accuracy 94.9%), with Question as the dominant factor. Interviews showed that EMR accelerated access to patient information and reduced documentation errors, while network instability, uneven training, limited IT support, and remaining manual processes were still obstacles. Conclusion: Successful EMR implementation in optimizing patient services results from the interaction of system quality, information quality, user competence, and organizational support. The findings indicate association, not causation