Analisis Faktor yang Memengaruhi Efisiensi Implementasi Rekam Medik Elektronik (RME) di Instalasi Rawat Jalan RSUD Dr. Soedomo Trenggalek

Penerapan Rekam Medis Elektronik (RME) merupakan bagian dari transformasi digital pelayanan kesehatan yang dicanangkan pemerintah melalui Permenkes No. 24 Tahun 2022. Namun, efisiensi implementasinya di berbagai rumah sakit daerah masih menghadapi tantangan. RSUD dr. Soedomo Trenggalek telah mengimplementasikan RME sejak 2023, namun hasil evaluasi awal menunjukkan masih terdapat hambatan dalam hal keterlambatan input data, ketidaksesuaian pelatihan, dan gangguan teknis jaringan. Penelitian ini bertujuan menganalisis pengaruh faktor individu, organisasi, teknologi, dan pelatihan terhadap efisiensi implementasi RME.

Penelitian menggunakan desain kuantitatif dengan pendekatan survei cross- sectional, melibatkan 96 responden tenaga kesehatan yang dipilih secara stratified random sampling. Instrumen disusun berdasarkan model HOT-Fit yang dimodifikasi dan diuji validitas serta reliabilitasnya. Analisis dilakukan menggunakan regresi linier berganda.

Hasil menunjukkan bahwa faktor individu (β = 0,411; p = 0,000) dan teknologi (β = 0,282; p = 0,027) berpengaruh signifikan terhadap efisiensi implementasi RME. Sementara itu, faktor organisasi (β = 0,215; p = 0,080) dan pelatihan (β = –0,037; p = 0,691) tidak berpengaruh secara signifikan. Temuan ini mengindikasikan bahwa keberhasilan RME sangat ditentukan oleh kesiapan SDM dan infrastruktur teknologi, serta perlunya perbaikan strategi pelatihan dan penguatan koordinasi organisasi.

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The implementation of Electronic Medical Records (EMR) is a critical component of the digital transformation in healthcare services, as mandated by the Indonesian Ministry of Health through Regulation No. 24 of 2022. However, the efficiency of EMR implementation in various regional hospitals continues to face significant challenges. RSUD dr. Soedomo Trenggalek has adopted EMR since
2023, yet early evaluations indicate persistent obstacles such as delayed data entry, misaligned training programs, and unstable network infrastructure. This study aims to analyze the influence of individual, organizational, technological, and training factors on the efficiency of EMR implementation.

This research employed a quantitative design using a cross-sectional survey approach involving 96 healthcare professionals selected through stratified random sampling. The instrument was developed based on a modified HOT-Fit model and tested for its validity and reliability. Data analysis was conducted using multiple linear regression.

The results showed that individual factors (β = 0.411; p = 0.000) and technological factors (β = 0.282; p = 0.027) had a significant positive influence on EMR implementation efficiency. In contrast, organizational factors (β = 0.215; p =
0.080) and training (β = –0.037; p = 0.691) did not have a statistically significant effect. These findings suggest that EMR success is largely determined by user readiness and technological support, highlighting the need for improved training strategies and strengthened organizational coordination.