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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 8 Documents
 1 
Search results for , issue "Vol 4 No 3 (2023): June" : 8 Documents clear
Analisis Kebutuhan Ideal Tenaga Rekam Medis pada Unit Filling Rizal Pratama Adi Putra; Syamsuriansyah Syamsuriansyah; Uswatun Hasanah; Musparlin Halid; Ikhwan Ikhwan
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3781

Abstract

The availability of adequate Human Resources (HR) in accordance with the scientific field is the main focus of various units in the Mataram City Hospital, especially medical recorders. This study aimed to determine the ideal number of medical recorder personnel needed in the filing unit. This type of research uses a quantitative approach in Mataram City Hospital with a sample of 4 people. Calculate ideal medical recorder staffing needs using the Workload Indicator Staffing Need (WISN) method. The results show that the workload is still relatively high. The number of personnel working at this time is still lacking. The number of medical recorders does not match the workload. The staff should be 7 people, while the current staff is 4 people, so they still need 3 more people. The need for medical recorders is not ideal and the hospital still needs additional medical recorders in the filling unit.
Analisis Kelancaran Pengajuan Klaim BPJS Kasus Melahirkan di RS. X Kota Bengkulu Nofri Heltiani; Lolli Nababan
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3906

Abstract

The smoothness of submitting BPJS claims for childbirth cases is influenced by the accuracy of the code based on ICD-10 and ICD-9CM which refers to 3 categories namely complications of delivery, method of delivery and outcome of delivery, completeness of claim file requirements and completeness of documentation. Based on observations of 10 claim files for maternity cases submitted to BPJS, it was found that 6 (60%) files were pending due to diagnoses and codes entered on medical resumes not in accordance with BPJS, 1 (10%) did not have a doctor's signature, which resulted in delays the process of paying claims to hospitals that can cause material losses. The aim of the study was to find out the smoothness of submitting BPJS claims for childbirth cases at Hospital X Bengkulu City. This type of research is observational with a quantitative descriptive design. The population of this study is 137 files with a sample of 58 files taken by simple random sampling. The data used are primary and secondary data which were analyzed univariately using the frequency distribution. The results of the research are the accuracy of the case code giving birth to 36(62.1%) files, the completeness of the claim file requirements is 55(94.8%) files and the completeness of the documentation is 56(96.6%) files, but the claim files that fail to purify must be returned to hospital for repair. It is recommended that the hospital has an internal verifier as an evaluator before the file is sent to BPJS.
Evaluasi Penerapan Rekam Medis Elektronik dengan Pendekatan Technology Acceptance Model di Rumah Sakit X di Kota Surabaya Intansari Intansari; Martya Rahmaniati; Dian Fajar Hapsari
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3914

Abstract

Electronic medical records have an important in the provision of health services in hospitals, electronic medical records are a source of health data and information that can be used in assessing the quality of health services. Hospital X has implemented the use of electronic medical records since 2020 but has never conducted an evaluation of the implementation of electronic medical records, so need a formative evaluation to see the quality of electronic medical records using the Technology Acceptance Model, assessing a system based on the ease of use. use) and perceived usefulness (usefulness) which can affect the use of the system (attitude toward using) and applying the system on an ongoing basis (actual usage). This study uses a quantitative approach by using bivariate correlation test analysis to be able to assess the relationship between the variables studied. The results showed that there was a significant positive relationship (p-value 0.001, r = 0.717) between the belief that EMR can be used easily (perceived ease of use) and benefits in performance and performance productivity (perceived usefulness). p-value 0.001, r = 0.747) between EMR variables can provide benefits in terms of performance and performance productivity (perceived usefulness) and attitude toward using EMR (Attitude toward using). The belief that EMR can be used easily (perceived ease of use) has a positive and significant effect on attitudes towards using EMR (Attitude toward using) with a p-value of 0.001, r = 0.7, and a significant relationship with a p-value of 0.001, r = 0.717 between the belief that the attitude towards using EMR (Attitude toward using) and significant towards the actual use of EMR (actual usage)
Analisis Faktor Penyebab Keterlambatan Pengembalian Rekam Medis Rawat Inap di Rumah Sakit Baladhika Husada Jember Insani Dzakirah; Demiawan Rachmatta Putro Mudiono; Maya Weka Santi; Erna Selviyanti
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3804

Abstract

The standard for returning outpatient medical records was 1 hour after providing polyclinic services and 1 x 24 hours after the patient was discharged. Delay in returning outpatient medical records occurs if it exceeds the predetermined standard limit. The implementation of medical records at Baladhika Husada Jember Hospital still has delays in returning inpatient medical records. Therefore, it impacts patient waiting time to get services and the accumulation of files due to the procurement of new medical record documents for visiting patients because the previous medical records were not in the filing room. This research aimed to analyze the factors causing delays in returning inpatient medical records. This type of research uses qualitative research, the subject is 1 head of a medical record unit, 1 medical record officer, 3 nurses, and 2 heads of inpatient rooms. The object of this research is inpatient medical records. The results found in this study are that the first priority has not been socialization related to SOP (Standard Operational Procedure) regarding the return of inpatient medical records so it is determined that efforts to hold routine SOP socialization, providing SOP are posted in each inpatient room by involving all nurses and record officers related to the activity of returning medical records.
sistem informasi PENGEMBANGAN SISTEM INFORMASI SURVEILANS SARI PADA RESPONTIME PELAPORAN SARI DI RUMAH SAKIT UMUM Dr. SAIFUL ANWAR Desma Legawa; Ratna Wardani; Ery Olivianto
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3870

Abstract

Severe Acute Respiratory Infection (SARI) is an acute infectious disease that occurs in the respiratory tract and is better known as Pneumonia. The percentage of deaths in various countries caused by pneumonia has reached 30% and is in the age range of less than 5 years. In Indonesia, in the period from May 2013 to April 2015, there were 1,697 cases of the disease, while at Dr Saiful Anwar Hospital in 2022, 56 cases were caused by SARI with the influenza virus. The data collection process is done manually, resulting in delays in reporting problems. This study aims to analyze the effect of Web-Based SARI Information System Development on Sari Reporting Respontime at Dr. Hospital. Saiful Anwar (RSSA) which is useful for speeding up the process of reporting SARI surveillance from sentinels to the Ministry of Health. The design method uses a waterfall diagram which includes analysis, design, coding, and testing. The results of this study are web-based SARI applications where the Ministry of Health has not yet provided an application for data recapitulation processes for every sentinel in the territory of Indonesia, for this reason researchers innovate to create information-based systems web so that in reporting after using the web application the impact is more effective and efficient thus speeding up the reporting process.
Analisis Kuantitatif Kelengkapan Pengisian Formulir Assesmen Rawat Inap Obsgyn di RS X Jember Irfiah Irfiah
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3908

Abstract

The process of providing hospital plenary services has the role of many parties, one of which is the role of medical record management. The results of the assessment of the completeness of filling out the obsgyn inpatient assessment form at Hospital X still contained deficiencies (incomplete) which in this case had not reached the minimum standard of hospital services, which had to be 100%. The aim of this study was to analyze the completeness of the completeness of the filling out of the inpatient obsgyn assessment form at X Jember Hospital. This type of research uses descriptive research with a retrospective approach. The object of research is the obsgyn inpatient assessment form at X Jember Hospital for the 2022 period, totaling 1035 medical record files. The method of collecting data in this study is observing the components of identification, important reporting, authentication, and correct documentation and the analysis used is using quantitative descriptive analysis. The results of the identification component analysis with the highest completeness of 97.34%, and the highest incompleteness of 82.15%; important reporting components with the highest completeness of 93.91% and the highest incompleteness of 35.17%. The results of the authentication component analysis with the highest completeness were 75.17% and the highest incompleteness was 58.26%; the correct documentation component with the highest score of 92.46% and incorrect documentation with the highest score of 8.99%.
Faktor Penyebab Terjadinya Duplikasi Nomor Rekam Medis Pasien Riska Rosita; Rini Apriyani
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3920

Abstract

The medical record numbering system is a procedure for writing the number given to patients when they come for treatment at a health service. Based on observations at the Toboali Health Center, there were 13 patients who had more than one medical record number, there were also 14 cases where one medical record number was used for more than one patient. The purpose of this study was to determine the factors that cause duplication of patient medical record numbers. The research method is descriptive using a cross sectional survey design approach. The results showed that the causes of duplication of patient medical record numbers consisted of regulations/policies, facilities and infrastructure, human resources, patient compliance with MNH and changes in patient data that were not confirmed. The conclusion of this study is that all of these causal factors must be suppressed so that the history of patient data becomes continuous and prevents the risk of medical errors or malpractice.
Penerapan Particle Swarm Optimization Untuk Meningkatkan Kinerja Algoritma K-Nearest Neighbor Dalam Klasifikasi Penyakit Diabetes Dyah Susilowati; Sutrisno Sutrisno; Muhammad Yunus
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 4 No 3 (2023): June
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v4i3.3980

Abstract

The study aims to apply the KNN algorithm to classify diabetes by combining the PSO algorithm as a selection so as to obtain the best accuracy from the KNN algorithm in classifying, so that it can be applied to diagnose diabetes. This research consists of several stages of research including dataset collection, data pre-processing, data sharing, finding the optimal k-value to the classification process and performance or accuracy testing. From this research, the accuracy of the KNN algorithm before feature selection using PSO is 75% at k-optimal 19 and after feature selection using PSO is obtained an increase in accuracy to 77.213% at the same k value with features that affect the pima dataset, namely Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, and Age. Thus the use of KNN with PSO feature selection can be used to identify diabetes because it has a much better level of accuracy.

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