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Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems
Published by CV. Get Press Indonesia
ISSN : -     EISSN : 31236952     DOI : https://doi.org/10.69855/rekammedis
Core Subject : Health,
Health Professions
The Journal of Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems (REKAM MEDIS) is an open-access, peer-reviewed scientific journal published by CV. Get Press Indonesia. The journal publishes original research articles, review articles, and case studies in the fields of medical record administration, health information management, and healthcare information systems. Its scope covers medical record management, electronic medical records, health information systems, health informatics, healthcare data analytics, coding and classification systems, telemedicine, data quality and security, legal and ethical aspects of medical records, and the development of human resources in health information services. REKAM MEDIS applies a rigorous peer-review process to ensure the quality, originality, and scientific relevance of all published manuscripts. The journal is published twice a year, in March and September, and provides open access to support the broad dissemination of research findings. REKAM MEDIS aims to serve as a trusted platform for researchers, academics, practitioners, and policymakers in advancing knowledge and innovation in medical records, health information management, and healthcare information systems.
Arjuna Subject : -
Articles 13 Documents
 1   2 
Analysis of Healthcare Human Resources Capacity in the Management and Quality Assurance of Medical Record Data in the Digitalization Era Weni Tri Purnani; Darmining; Miranty Andrian Deaningsi; Sasa Acnetia; Amanda Putri Anggraini
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 1 No. 2 (2025): September, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v1i2.311

Abstract

The success of Indonesia's digital health transformation critically relies on healthcare Human Resources (HR) capacity and robust Electronic Medical Records (EMR) quality assurance. This study performs an aggregate quantitative analysis using official national data (BPPSDMK, PORMIKI/PPNI) to correlate HR capacity with EMR quality indicators. Results reveal a significant HR imbalance, with 70% concentration in urban areas and a training gap (only 65% of professionals certified/trained). Regression analysis confirmed a strong positive statistical relationship (β=0.75, p<0.01), proving that HR capacity explains 56% (R2=0.56) of the variation in EMR quality. Furthermore, official reports indicate systemic failures in audit trail implementation, including limited access and system instability, compromising data integrity. The strong empirical evidence underscores that sustained, equitable investment in HR training and distribution is the most critical non-technical lever for quality improvement. Therefore, equitable HR development, mandatory standardized audit trail SOPs, and robust digital infrastructure are essential for ensuring high-quality and consistent digital medical record management nationwide.
Factors Associated with Incomplete Informed Consent in Inpatient Medical Records Rudy Dwi Laksono; Mila Sari
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 2 No. 1 (2026): March, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v2i1.636

Abstract

Informed consent is a crucial component of medical records that serves as legal evidence and a means of protecting patient rights; however, incomplete documentation remains a common issue that may compromise healthcare quality. This study aimed to analyze factors associated with incomplete informed consent documentation in inpatient medical records. A quantitative study with a cross-sectional design was conducted on 120 medical records selected using systematic random sampling. The dependent variable was the completeness of informed consent, while the independent variables included staff knowledge, years of experience, workload, and compliance with standard operating procedures (SOPs). Data were collected using a checklist based on Ministry of Health Regulation No. 290 of 2008 and analyzed using univariate and bivariate methods with the Chi-square test at a significance level of 0.05. The results showed that incomplete informed consent documentation was relatively high (62.5%). Bivariate analysis indicated that knowledge (p=0.002; OR=5.5), workload (p=0.004; OR=5.0), and SOP compliance (p=0.001; OR=7.55) were significantly associated with incomplete documentation, while years of experience was not significantly associated (p=0.087). In conclusion, the incompleteness of informed consent is influenced by both individual and system-related factors, with SOP compliance identified as the most dominant factor.
Overview of Patient Satisfaction with the Application of Mobile JKN Using EUCS Method Bahrul Ilmi; Muhammad Al Ashari
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 2 No. 1 (2026): March, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v2i1.667

Abstract

Mobile JKN is a digital application developed by BPJS Kesehatan to facilitate participants in accessing health services quickly and efficiently. Despite its widespread use, users still experience various obstacles, including difficulties in using application features, slow system access, and dissatisfaction with the information provided. Therefore, evaluating user satisfaction is important to assess the quality of the Mobile JKN application from the patient’s perspective. This study aimed to describe patient satisfaction with the Mobile JKN application using the End User Computing Satisfaction (EUCS) method at RSI Ibnu Sina Padang. This quantitative descriptive study was conducted at RSI Ibnu Sina Padang in 2025. The study population consisted of outpatients who used the Mobile JKN application. A total of 120 respondents were selected using accidental sampling. Data were collected using an EUCS questionnaire covering five dimensions: content, accuracy, format, ease of use, and timeliness. Data were analyzed using univariate analysis and presented as frequency distributions and percentages. The results showed that 65.8% of respondents were satisfied with the implementation of Mobile JKN. Based on the EUCS dimensions, satisfaction levels were 70.0% for content, 68.3% for accuracy, 66.7% for format, 75.0% for ease of use, and 63.3% for timeliness. Ease of use received the highest score, while timeliness received the lowest. In conclusion, most patients were satisfied with the Mobile JKN application at RSI Ibnu Sina Padang. Continuous improvements, particularly in timeliness and system response speed, are needed to enhance user experience and service quality.

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