Evaluasi Penerapan Rekam Medis Elektronik terhadap Kinerja Perawat di Unit Rawat Inap RS Grha Permata Ibu Kota Depok Tahun 2025

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.

Authors

Institutions

Publication Details

Journal
Jurnal Administrasi Rumah Sakit Indonesia
Published
2026-10-28
DOI
https://doi.org/10.7454/arsi.v12i3.1240
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluasi Penerapan Rekam Medis Elektronik terhadap Kinerja Perawat di Unit Rawat Inap RS Grha Permata Ibu Kota Depok Tahun 2025

Ratna Dian Andriani
Jurnal Administrasi Rumah Sakit Indonesia
Electronic Health Records Systems
article

Evaluasi Penerapan Rekam Medis Elektronik terhadap Kinerja Perawat di Unit Rawat Inap RS Grha Permata Ibu Kota Depok Tahun 2025

Ratna Dian Andriani
article en

Abstract

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.

Jurnal Administrasi Rumah Sakit IndonesiaVol. 12(3)
Universitas Respati Indonesia (ID)
Good health and well-being
Openalex Percentile: Top 25%
Electronic Health Records Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon