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Muhammad Yunus
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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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Kepercayaan Kerahasiaan Data Diri Masyarakat Pada Pelayanan Telemedis: Path Analysis Model Rusdi, Achmad Jaelani; Prisusanti, Retno Dewi; Ikawati, Fita Rusdian; Oktoriani, Ervita Nindy
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.4654

Abstract

Online health consultations via telemedicine, conducted through websites or digital platforms, have become a trend with the advancement of communication technology. However, data privacy is a major concern, especially when it involves patients' personal health information. This study analyzes the factors influencing public trust in telemedicine services. The aim is to examine the impact of economic, educational, environmental, usefulness, ease of use, and information quality factors on public trust in telemedicine. The research method involves path analysis using a quantitative approach, followed by qualitative analysis. The study involved 90 participants, with a 2:1 ratio between the user group and the control group. The results indicate a significant influence of economic status, education level, environment, system ease of use, and information quality on public trust in data privacy within telemedicine, with a total trust score reaching +0.545. These findings underscore the need for the public, as telemedicine users, to be more cautious about the security and confidentiality of their personal data. Additionally, service providers must make efforts to ensure patient data security and privacy, while establishing clear terms in every privacy policy and providing legal guarantees regarding data protection.
Optimasi Keputusan Metode Persalinan dengan Algoritma C4.5 Alfianah, Adinda Bunga; Pratama, Mudafiq Riyan; Yunus, Muhammad; Vestine, Veronika
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.4777

Abstract

In 2018, the Indonesian Ministry of Health conducted a survey revealing that the rate of deliveries via Caesarean Section (C-Section) had exceeded the WHO's maximum standard of 17.6%. At Aulia Hospital in Pekanbaru, the prevalence of C-Sections reached 76% per 1000 births, significantly higher than the international benchmark. This study aims to analyze the factors influencing delivery methods using the C4.5 algorithm. The research employs a quantitative analytic approach with Secondary Data Analysis (SDA). A dataset of 500 records with 11 variables was utilized, including maternal age, gestational age, hypertension, hemoglobin, glucose levels, delivery history, fetal position, Cephalopelvic Disproportion (CPD), premature rupture of membranes (PROM), oligohydramnios, and estimated fetal weight (EFW). The C4.5 algorithm demonstrated 92% accuracy in predicting delivery methods, with a precision of 75%, indicating its ability to correctly identify necessary C-Sections. Furthermore, it achieved a recall of 100%, reflecting its effectiveness in identifying all actual C-Section cases. The rule tree analysis highlighted delivery history as the primary determinant in selecting the delivery method. These findings are expected to support medical decision-making processes regarding delivery methods and improve the management of high C-Section rates.
Penerapan Decision Tree dan Neural Network untuk Prediksi Severity Level Pada Kasus Hipertensi di RSUD Khidmat Sehat Afiat (KISA) Depok Rafidah, Arlien Rona; Nurmalasari, Mieke; Hosizah, Hosizah; Larasati , Dhiar Niken
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.4963

Abstract

Severity Level is a component of the INA-CBGs code that indicates the severity of a case during treatment, influencing the INA-CBGs tariff rate. The aim of this study is to predict the severity level by implementing decision tree and neural network algorithms using Orange Data Mining. This research was conducted at Khidmat Sehat Afiat Regional Public Hospital in Depok City, utilizing 162 inpatient claim records with primary diagnoses of Hypertension and Hypertensive Heart Disease and secondary diagnoses of CHF, CKD, or both. Prediction was carried out on 114 testing data and 48 training data. Claim data were analyzed using Decision Tree and Neural Network, with testing results showing the highest score in neural network performance with an AUC of 62.5%, CA of 57%, F1 of 56.2%, and precision of 57.7%. Based on calculations from the confusion matrix, the neural network demonstrated better performance, with accuracy at 57.89%, precision at 65.6%, and recall at 80.76%. These results suggest that the neural network is recommended for predicting the severity level of hypertension cases at Khidmat Sehat Afiat Hospital, as it achieves higher accuracy than the Decision Tree.
Sistem Informasi Georgrafis Angka Kematian Ibu dalam Upaya Surveilans Kesehatan di Kabupaten Bondowoso Jannah, Siti Elatul; Muna, Niyalatul; Rachmawati, Ervina; Roziqin, Mochammad Choirur
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5120

Abstract

Maternal Mortality Rate (MMR) refers to the death of women during pregnancy or within 42 days after delivery, caused by pregnancy-related conditions or management, excluding accidents. In 2022, Bondowoso Regency ranked 8th in East Java for MMR. By May 2024, the maternal death toll in Bondowoso reached 11, an increase from 10 deaths in 2023. This highlights the need for heightened public awareness regarding maternal mortality. This study aims to create a digital map of MMR distribution. The system development method used is the Waterfall model, utilizing Leaflet for mapping and MySQL as the database. System testing was conducted using the black box method, which confirmed that the system met user requirements. The study produced a web-based system capable of displaying a map of maternal mortality distribution categorized by risk groups, calculated using the maternal mortality formula. The system also provides graphs, report tables easily updated by administrators, and displays distances between cases and hospitals. This Geographic Information System is expected to assist health officers in promoting integrated health programs and educating the public to prevent maternal mortality in Bondowoso Regency.
Perancangan SIM Klinik Bagian Kodefikasi Klinis Menggunakan Metode Waterfall Di Klinik X Kabupaten Malang Aini, Nita Dwi Nur; Sigit, Nanta
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5364

Abstract

Data processing, particularly in the medical record coding section, is still conducted manually using Excel, which contains lists of disease and procedure codes for coding purposes. The main issues encountered include time-consuming processes and the generation of inaccurate codes that are too general and lack specificity. The aim of this study is to design a Clinical Coding Module for the SIM Klinik system at Clinic X in Malang Regency. This research employs a descriptive quantitative method with a case study approach. A total of five doctors participated as respondents, and data was collected through interviews and observations. The study results indicate that the key features required for the SIM Klinik clinical coding module include diagnosis coding, procedure coding, and generating reports on the most common diseases. Additionally, the system must support integration with other health information systems to facilitate seamless information flow between clinic units. The system design employs a Data Flow Diagram (DFD) and Entity Relationship Diagram (ERD) approach to illustrate clear data flows and the relationships between entities in the system, ensuring that all system components function cohesively and efficiently
Perancangan SIM-Klinik Sistem Pengambilan dan Pengembalian Rekam Medis Di Klinik Jaya Kusuma Husada Kepanjen Kabupaten Malang Anugrahanti, Wisoedhanie Widi; Maulana, Moh.
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5365

Abstract

The Jaya Kusuma Husada Clinic in Kepanjen, Malang Regency, currently operates its medical records system manually, including the processes for retrieving and returning medical records. A Clinical Management Information System (SIM-Clinic) is necessary to support a more organized medical record management system, in accordance with the implementation of Minister of Health Regulation No. 24 of 2022. This study aims to design a SIM-Clinic for the medical record retrieval and return system. The research combines Research and Development (R&D) with descriptive analysis. Data collection was conducted through observation and interviews with 15 respondents, consisting of doctors, nurses, midwives, and medical record staff, selected through total sampling. The system design employed the waterfall methodology. The study results identified three categories of SIM-Clinic user needs: healthcare workers, medical record staff, and the head of the medical records department. The agreed system requirements have resulted in the development of a system flowchart, Data Flow Diagram (DFD), and Entity Relationship Diagram (ERD). It is recommended that the clinic prepare the necessary facilities, infrastructure, and healthcare human resources involved in the planned implementation of the medical record retrieval and return system through the SIM-Clinic.
Perancangan Aplikasi Pelayanan Rekam Medis Elektronik Berbasis Smartphone di Rumah Sakit Rafflesia Saputra, Ripo Andi; Syaputra, Reka Dwi; Harmanto, Deno
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5428

Abstract

Rafflesia Hospital faces challenges in managing medical records as it still relies on a manual paper-based system. This method can lead to data loss, limited access, and human error, which hinder efficiency and service quality. According to Indonesia’s Ministry of Health Regulation No. 24 of 2022 on Medical Records, all healthcare facilities are required to implement Electronic Medical Records by December 31, 2023. This study aims to design a smartphone-based electronic medical record application for Rafflesia Hospital using the Waterfall development method. The proposed application can improve patient queue management through online registration, provide real-time waiting time information, and enhance communication and coordination among medical teams via a fast information exchange platform. Additionally, the application improves responsiveness and efficiency by granting instant access to critical patient information in emergencies. Clear operational guidelines are established to ensure the application is user-friendly and easy to understand. The hospital needs to prepare for the implementation of this application to integrate it with the Hospital Information System (SIMRS), supporting fast, efficient, and high-quality services.
Penyebab Pengembalian Berkas Klaim BPJS Kesehatan Pasien Rawat Inap Ditinjau Dari Syarat-Syarat Pengajuan Klaim di RSUD Majenang Tuzzahra, Raudya; Hakim, Agya Osadawedya; Romodon, Dion; Gunawan, Gunawan
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5469

Abstract

Issues related to BPJS Health insurance claims often pose challenges for healthcare facilities. The primary reasons for claim rejections typically involve administrative errors, such as incomplete documentation or incorrect diagnostic codes. This study aims to identify the factors contributing to the high rate of inpatient claim rejections at RSUD Majenang. Employing a qualitative approach with a case study design, this research analyzes data collected from in-depth interviews with hospital verification officers and coding officers. The findings reveal that inaccurate diagnostic coding and incomplete supporting documentation are the primary causes of claim rejections. Inaccurate diagnostic coding is attributed to several factors, including errors in diagnosis recording, discrepancies in perceptions between hospital verifiers and BPJS Health, and potential indications of diagnostic code misuse. Additionally, a lack of interdepartmental coordination and inadequate understanding of claim guidelines contribute to the problem. The findings of this study have significant implications for efforts to improve the quality of healthcare services and the efficiency of claim management in hospitals. To streamline BPJS Health claims, it is necessary to enhance the competency of staff, strengthen interdepartmental coordination, improve the quality of medical documentation, and conduct periodic evaluations of claim procedures.
Hubungan Individu, Organisasi, Psikologis Petugas Terhadap Keterlambatan Pengembalian Rekam Medis Rawat Inap Vestine, Veronika; Purbaningrum, Ajeng; Santi, Maya Weka; Ardianto, Efri Tri
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 5 No 2 (2024): March
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v5i2.5472

Abstract

The return of medical records is the process of returning patient medical records to the medical records department after being used in healthcare services. In 2023, it was found that 42% of inpatient medical records were returned on time but were incomplete, while 32% were delayed for more than 2 x 24 hours. The aim of this study is to analyze the relationship between individual, organizational, and psychological factors of staff and the delay in returning inpatient medical records at Al Huda Hospital, Banyuwangi. Data collection techniques include questionnaires and observation. The population consisted of 101 staff responsible for returning inpatient medical records, with a sample of 80 staff members. This study uses an analytical quantitative method with a cross-sectional approach and chi-square test. Bivariate analysis results showed no relationship between individual factors (knowledge) and organizational factors (leadership). However, there was a significant relationship with psychological factors (attitude) with a Sig. value of 0.001. The researcher suggests that the hospital conduct regular evaluations and provide socialization to staff regarding the return of inpatient medical records and improve staff skills and knowledge on the medical record return procedure.
Perancangan Sistem Antrian Pasien Di Puskesmas XYZ Banjarmasin Persadha, Galih; Anshari, Muhammad Rashif
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.5489

Abstract

XYZ Health Center in Banjarmasin is a growing healthcare facility that currently uses a conventional queuing system. This system often encounters challenges, such as lost or damaged queue cards, manual queue calling by staff, and limited information about the current queue number. These issues make the queuing process less efficient. This study aimed to design a web-based patient queuing system at XYZ Health Center in Banjarmasin using a priority service method, developed with PHP programming language and a MySQL database. The research resulted in a web application with both back-end and front-end functionalities. The queuing system offers options for general and priority patients, with queue calls managed through the back-end according to patient categories. By implementing this application, the challenges associated with the conventional queuing system can be resolved, ensuring a smoother queuing process. The application has been tested by end users and deemed “suitable for use.” To maintain security, confidentiality, and optimal functionality, regular backups and proper network system configuration are required.

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