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Muhammad Yunus
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m.yunus@polije.ac.id
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j-remi@polije.ac.id
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Program Studi Rekam Medik Politeknik Negeri Jember Jl. Mastrip PO Box 164, Jember, Jawa Timur
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J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan
Published by Politeknik Negeri Jember
ISSN : -     EISSN : 2721866X     DOI : https://doi.org/10.25047/jremi
Core Subject : Health,
Health Professions Public Health
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan is a scientific journal that is managed and published by the Program Studi Rekam Medik, Jurusan Kesehatan, Politeknik Negeri Jember. J-REMI contains the publication of research results from students, lecturers and or other practitioners in the field of medical records and health information with coverage and focus on the fields of Health Information Management, Health Information Systems, Health Information Technology, Health Quality Information Management and Classification, Coding of Diseases and Problems. Health and Action.
Arjuna Subject : Profesi Kesehatan - Menejmen Informasi Kesehatan
Articles 4 Documents
 1 
Search results for , issue "Vol 7 No 2 (2026): March (Issue in Progress)" : 4 Documents clear
Hubungan Ketepatan Penulisan Diagnosis Dengan Keakuratan Kode Diagnosis Obstetri Di RSIJ Sukapura Menna, Yasinta Rosalia; Muchlis, Husni Abdul; Hosizah, Hosizah; Yulia, Noor
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.5435

Abstract

Accurate documentation of diagnoses in medical records is essential, as inaccurate diagnostic statements may lead to incorrect diagnostic coding. Preliminary observations indicated that among 18 medical records, 61% of diagnoses were written accurately, while 78% of diagnostic codes were accurate. This study aimed to examine the relationship between the accuracy of diagnostic documentation and the accuracy of obstetric diagnostic coding at RSIJ Sukapura Hospital. This quantitative study employed a cross-sectional design and utilized the Chi-square test, with Fisher’s exact test applied as appropriate. Based on the analysis of 92 medical records, 77.2% of diagnoses were documented accurately and 88.0% of diagnostic codes were accurate. The results revealed a statistically significant association between the accuracy of diagnostic documentation and the accuracy of obstetric diagnostic coding (p = 0.002 < 0.05; OR = 8.375). This indicates that accurate diagnostic documentation increases the likelihood of producing accurate obstetric diagnostic codes by 8.375 times. Physicians in charge are therefore expected to pay closer attention to appropriate medical terminology when documenting diagnoses to ensure greater accuracy.
Forecasting Kapasitas Tempat Tidur di Rumah Sakit Islam Jakarta Pondok Kopi Sinlae, Andrey Reynaldi Devada; Hosizah, Hosizah; Nurmalasari, Mieke
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.5727

Abstract

In 2022–2023, bed utilization at RSIJ Pondok Kopi was inefficient according to the Barber–Johnson (GBJ) standard, with Bed Occupancy Rates (BOR) of 53% in 2022 and 74% in 2023, both below the ideal range. This inefficiency was partly due to the absence of bed capacity adjustments based on accurate forecasting. This study aimed to conduct bed capacity forecasting at RSIJ Pondok Kopi. This applied retrospective study employed data mining techniques using Tableau with the Exponential Smoothing algorithm. Data on inpatient days and discharged patients from 1992 to 2023 were collected and processed following the Knowledge Discovery in Databases (KDD) framework. One optimal forecasting model was selected for each variable. Bed capacity projections were calculated using BOR assumptions of 75% and 85%, and Turnover Interval (TOI) assumptions of 1 and 3 days, with the Barber–Johnson chart used for evaluation. Forecasted bed requirements were estimated at 183–192 units (2024), 185–194 (2025), 187–196 (2026), 189–197 (2027), and 190–199 (2028). Compared with actual data through May 2024, the hospital had 10 excess beds. Therefore, more intensive promotional strategies are recommended to improve bed utilization.
Analisis Maturitas Kesehatan Digital pada Klinik di Kabupaten Ponorogo Noor, Muhammad Syeikhooni; Heryawan, Lukman; Sanjaya, Guardian Yoki
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.6245

Abstract

Digital transformation in primary healthcare services plays a crucial role in supporting the national SATUSEHAT integration initiative. This study aims to measure digital maturity levels and analyze their determining factors within the clinic ecosystem in Ponorogo Regency. A quantitative approach was applied using a census sampling technique involving all 43 clinics as respondents. The findings indicate that the average digital maturity level falls into the “High” category, with a mean score of 4.03 out of 5.00. Among the assessed dimensions, Governance and Leadership emerged as the strongest, while Interoperability was identified as the weakest. Statistical analysis revealed a significant positive correlation between digital maturity scores and the intensity of data submission to the SATUSEHAT platform (p-value = 0.021). The results suggest that the current digital maturity profile is primarily driven by regulatory compliance rather than organic technical development, with managerial readiness exceeding infrastructure capability. Strategic recommendations propose that clinics prioritize investments in meeting interoperability standards. Additionally, local Health Offices should shift their role from administrative oversight to technical facilitation to address challenges within the electronic medical record vendor ecosystem and support sustainable digital integration in primary healthcare services.
VYODIA untuk Pengelolaan Hipertensi pada Pasien Hemodialisis Udayani, Ni Wayan; Marwati, Marwati; Putra, I Made Agus Widiana
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 2 (2026): March (Issue in Progress)
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i2.6487

Abstract

Hypertension among hemodialysis patients is a serious health concern, with a prevalence of 34.1%, increasing the risk of cardiovascular disease, renal complications, and economic burden. Suboptimal management of hypertension may lead to a decline in patients’ quality of life. This study aims to develop a mobile application, VYODIA-App, which provides personalized yoga video interventions to assist hemodialysis patients in managing blood pressure. The application was developed using the Behaviour Change Wheel framework to analyze factors influencing patients’ behavioral changes in engaging with yoga therapy, and the Successive Approximation Model, applied iteratively to ensure that the application meets user needs. Usability testing using the System Usability Scale involving 32 respondents yielded a score of 77.1, indicating good user acceptability, although there remains room for improvement in interface design and response speed. The application addresses identified barriers by offering educational modules to enhance users’ understanding of yoga, providing time flexibility through automated reminders, and incorporating anonymity features to increase motivation. Supportive policies for mobile application use in healthcare settings, along with training for healthcare professionals, are also considered essential for successful implementation.

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