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Muhammad Yunus
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m.yunus@polije.ac.id
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+628123413933
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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 265 Documents
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Perancangan Prototype Sistem Manajemen Rekam Medis Konvensional Berbasis Barcode Yunifa, Nayada Ilfania Arokhta; Ikawati, Fita Rusdian; Afifah, Lilik; Kusumawati, Atik
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 4 (2025): September
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i4.6106

Abstract

The management of conventional medical record files in healthcare facilities often faces challenges related to document tracking, file distribution, and operational inefficiency, which can lead to service delays and compromise data integrity. Similar issues occur at the Islamic Hospital of UNISMA Malang, where medical record files are often unavailable in the archive room, scattered across doctors’ offices, borrowed by other units, or not returned even after treatment is completed. This study aims to design a barcode-based prototype system for managing conventional medical records to address these challenges and enhance management efficiency. The design process adopted a comprehensive prototyping approach, including requirement communication, rapid planning, design modeling (Entity-Relationship Diagram, Use Case Diagram, and Activity Diagram), and the development of an interactive prototype using Figma. The proposed system provides essential functions such as accurate document tracking through barcode scanning for borrowing, returning, and shelving records. It also integrates an internal communication module to facilitate smooth collaboration among medical staff and a Tracer feature to monitor file movements. The prototype shows significant potential to improve tracking efficiency, data accuracy, and inter-unit coordination, ultimately contributing to more effective patient care.
Implementasi Smart Health Platform di Wuhan, Hubei: Infrastruktur, Standarisasi Data, dan Tantangan Teknis Nisaa, Arifatun; Juansheng, Wen; Juncheng, Cai
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 4 (2025): September
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i4.6125

Abstract

The advancement of information technology has accelerated the transformation of healthcare services through the Smart Health Platform (SHP), designed to improve quality, efficiency, and system integration. In Wuhan, Hubei, SHP implementation faces challenges that must be addressed to achieve digital health objectives. Key issues involve infrastructure, data standardization, and technical factors. Infrastructure limitations such as network capacity, server capability, and inter-facility integration remain barriers. Data standardization is hindered by variations in formats and inconsistencies across hospitals, complicating information exchange. Technical challenges include data security, system interoperability, and human resource readiness. This study analyzes the influence of these factors on SHP effectiveness using a quantitative descriptive method. A Likert-scale questionnaire was distributed to 424 active users, and data were analyzed with descriptive statistics and multiple linear regression. Results show that all three variables significantly affect SHP effectiveness (R² = 0.507; p < 0.05). Infrastructure and data standardization contribute positively, while technical challenges exert a negative effect. The study concludes that strengthening infrastructure, harmonizing data, and enhancing human resource capacity are critical to ensuring the success of integrated digital healthcare systems.
Evaluasi Efektivitas Tempat Tidur Tahun 2019-2024 Di Rumah Sakit Pelabuhan Jakarta Salsabella, Pradita; Iqbal, Muhammad Fuad; Fannya, Puteri; Dewi, Deasy Rosmala
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 4 (2025): September
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i4.6154

Abstract

The effectiveness of bed utilization is a key indicator of inpatient service quality. Fluctuations in the number of beds at Pelabuhan Hospital Jakarta from 2019 to 2024 have affected the Bed Occupancy Rate (BOR), which remains below the ideal standard. This study aims to evaluate bed utilization effectiveness during that period using a descriptive quantitative method based on inpatient census data. Results showed that the number of beds in each ward fluctuated, with an average BOR ranging from 37% to 74%. The Turnover Interval (TOI) and Average Length of Stay (AvLOS) were generally within the ideal range, while the Bed Turnover (BTO) tended to be high. Changes in bed numbers had varying effects on BOR: an average increase of 3.8 beds raised BOR by 22.8%, while an increase of 5 beds reduced it by 8.4%. Conversely, reducing 2.6 beds increased BOR by 7.2%, while reducing 2 beds decreased it by 19.3%. Bed procurement was carried out through an official memorandum from the nursing unit to the director based on service trends and needs. Therefore, bed planning should use predictive methods and historical data analysis over a minimum of three to five years.
Analisis Tarif INA-CBGS Kasus Persalinan dengan Penyulit Disertai Prosedur Sectio caesarea Azizzulida, Cut Adiba; Saptorini, Kriswiharsi Kun
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 1 (2025): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i1.5998

Abstract

Financing for Sectio caesarea (SC) procedures within the INA-CBGs system is determined based on specific medical indications. When discrepancies arise between INA-CBGs reimbursement rates and hospital service rates, hospitals may experience financial losses. This study aims to describe INA-CBGs tariffs across various severity levels by considering the characteristics and clinical conditions of delivering mothers. This research employed a descriptive quantitative design. The researcher observed 142 claim data entries for complicated deliveries involving SC procedures, and the data were analyzed descriptively. The results showed that most patients were aged 26–30 years (34.51%), had a medical indication of previous SC (27.46%), were treated in class III wards (54.93%), had a length of stay of four days (66.90%), had a primary diagnosis of O34.2 (31.69%), and were categorized as severity level I (76.06%). The most common secondary diagnoses were a history of SC (12.37%) and anemia (12.37%). Hospital tariffs varied considerably, and the deficit between INA-CBGs rates and hospital rates reached approximately 40 million rupiah. Hospitals should implement strict internal validation of claims, ensure complete documentation, strengthen inter-unit coordination, and provide regular training for staff on updated claim regulations.
Pemetaan Spasial Kasus HIV/AIDS dan Aksesibilitas Pelayanan Kesehatan di Kota Surakarta Berbasis QGIS Mayasari, Ovita; Naury, Chairullah; Fiesta, Cheelsy Arsa
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 7 No 1 (2025): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v7i1.6038

Abstract

The number of newly detected HIV/AIDS cases in Surakarta City has increased annually, with 425 cases reported in 2022, 453 in 2023, and 323 cases recorded up to August 2024. This study aimed to map the spatial distribution of HIV/AIDS cases to identify high-risk transmission areas, analyse spatial patterns and trends, and support more effective planning and evaluation of HIV programmes. Using a descriptive ecological design, the study employed secondary data from the Surakarta City Health Office and local AIDS-focused NGOs. Spatial analysis was conducted using overlay and buffering techniques in QGIS. The results showed varying case distributions across sub-districts, represented by colour gradients from dark red (highest case numbers) to white (lowest). Health service availability includes seven hospitals and seventeen primary health centres providing HIV testing, while 107 hotspot areas were identified among key populations, including MSM, transgender individuals, female sex workers, and people who inject drugs. Health service coverage was found to be evenly distributed across all sub-districts. The study recommends that the Health Office and AIDS-related NGOs continue spatial mapping efforts to better identify high-risk transmission areas and strengthen HIV prevention strategies in Surakarta City.

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