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Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI)
Published by Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia
ISSN : 2337585X     EISSN : 23376007     DOI : -
Core Subject : Health, Science,
Computer Science & IT Health Professions Public Health
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) diterbitkan oleh Asosiasi Perguruan Tinggi Rekam Medis dan Manajemen Informasi Kesehatan Indonesia (APTIRMIKI) bekerjasama dengan Perhimpunan Profesional Perekam Medis dan Informasi Kesehatan Indonesia(PORMIKI). JMIKI diterbitkan 2 kali dalam satu tahun ( Maret dan Oktober). Jurnal ini menerbitkan hasil penelitian (original) tentang Rekam Medis dan Manjemen Informasi Kesehatan, terutama dalam studi manajemen informasi kesehatan, Klasifikasi Kodifikasi Penyakit dan Tindakan, Sistem Informasi Kesehatan, Teknologi Informasi Kesehatan, Manajemen Mutu Informasi Kesehatan.
Arjuna Subject : -
Articles 13 Documents
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Search results for , issue "Vol 6, No 2 (2018)" : 13 Documents clear
ANALISIS ANGKA KEJADIAN READMISSION KASUS SKIZOFRENIA HARJANTI -; Lieska Wulandari
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (182.327 KB) | DOI: 10.33560/.v6i2.203

Abstract

Based on a preliminary survey in RSJD dr. Arif Zainudin Surakarta, schizophrenia is one of top 10 diseases and the number of its readmission in 2015 as much as 1296 patients. This type of this research is descriptive research with retrospective approach. The writer did this research in dr. Arif Zainudin Regional Mental Hospital Surakarta on November until December 2017. The populations of this research are all patients of schizophrenia readmission. Subyek of the medical recorderof the analising reporting and the object used is the monthly report book hospitalized. The writer uses observation and unstructured interview to collect the data. The dwarfs used are processing collecting, editing, presentation of data, and descriptive analysis as the data analysis. The results of this research is the number of schizophrenia patients are 2046 patients, 56% or 1136 patients are schizophrenia readmission. Based on the sex of the patient, male is more frequently experienced of readmission, it is 71%. Based on the age of the patient, it is most occur in the young adult age, it is 37%, and based on the types of schizophrenia, the most is schizophrenia unspecified, it is 47%. One of the schizophrenia readmission factors is the role of themselves and their family in the healing process. The conclusion of this research is; the highest readmission case is schizophrenia. It is recommended to increase the socialization to the patient and their family about the treatment of the patient. For quality improvement, medical officers may also provide the additional control schedules to the special patients (based on time of back, sex, age, and type of schizophrenia), so it can prevent the readmission
PEMBUATAN WEBGIS PENYAKIT INFEKSI SALURAN PERNAFASAN AKUT (ISPA) DI KABUPATEN JEMBER TAHUN 2013-2015 (THE MANUFACTURE OF WEBGIS FOR ACUTE RESPIRATORY TRACT INFECTIONS (ARI) IN JEMBER REGENCY IN 2013-2015 Sustin Farlinda; Faiqatul Hikmah; Fahrur Rozi
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.193

Abstract

Acute Respiratory Infection (ARI) is a common disease in children. Incidence by underage age group is estimated to be 0.29 episodes per child / year in developing countries and 0.05 episodes per child / year in developed countries. Jember Regency Health Office placed ISPA as the top 15 most diseases in Jember Regency, occupying the first position in the highest disease sequence. This study aims to create a WebGIS mapping of ISPA disease to determine the spread of ARI and determine the priority areas of anticipatory and prevention programs of ARI in Jember Regency. The design method uses a waterfall diagram that includes analysis, design, coding, and testing. The result of this research is a WebGIS of Acute Respiratory Infection Disease in Jember Regency in 2013-2015. This digital map has a color that can define the number of ARI events seen from the incidence of ARI cases in each region in Jember Regency, and displays information in each sub-district related to disease info, number of patients and other supporting data. The data analysis showed the highest ARI occurrence in Jenggawah district, Sumberbaru district, Rambipuji district, and Bangsalsari district during 2013-2015.
PERENCANAAN IMPLEMENTASI UNIT KERJA REKAM MEDIS UNTUK KLINIK PRATAMA PANCASILA BATURETNO WONOGIRI Anggia Meianti; Hendra Rohman; Anna Mayretta
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.198

Abstract

Health services in Pratama Pancasila Clinic Baturetno City Wonogiri mostly receives post partum and children case patients. Activities of medical record work unit has not been managed optimally. The management has a plan to change the system. In medical record work units, personnel are not qualified, organizing has not yet been established, operational standards are missing, decentralized storage systems, duplicate files, double entry data, and diagnostic coding not avaliable. The purpose of this studywas to design the initial concept of medical record work unit for pratama clinic. Qualitative descriptive research type. Population 25 people, sample 3 people. Data collection using observation and interview guidelines. The results showed that medical record management required qualified personnel with D3 medical recordsbackground, the creation of procedures from registration to reporting, storage systems shifted to centralization, thus minimizing file duplication, access rights to medical records, and coding according to ICD rules. The conclusion is that the initial concept of the medical record work unit for the primary clinic can be started from planning gradually from identification to alternative selection to be implemented according to standards and needs.
ANALISIS KUALITATIF DOKUMEN REKAM MEDIS RAWAT INAP DIARE AKUT BALITA DI RUMAHSAKITISLAMMASYITHOH BANGIL KABUPATEN PASURUAN TAHUN 2016 Faiqatul Hikmah; Rossalina Adi Wijayanti; Nur Hidayah
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.194

Abstract

Acute diarrhea is on the first rank of 10 major diseases at the inpatient installation of RSI Masyithoh Bangil Pasuruan in 2015and also on the second rank in 2014. The problems that occur are the low completeness and consistency of medical record document of toddler’s acute diarrhea at RSI Masyithoh Bangil Pasuruan in 2016. The purpose of this research is to analyze the qualitative document of hospitalization medical record on toddler’s acute diarrhea at RSI Masyithoh Bangil Pasuruan in 2016. The type of this research is qualitative research and data collection technique used are observation, interview, and documentation. The population in this research was 272 DRM toddler’s acute diarrhea, with the total sample of 82 DRM. The results of this research are, incompatibilities and incompleteness of DRM toddler’s acute diarrhea at RSI Masyithoh Bangil Pasuruan especially in terms of qualitative medical history, physical examination, action or therapy, and home status. Utilization of extra information is recorded correctly. Health personnel are advised to complete DRM immediately after completion of the action or examination. And the need to do evaluation in improving the quality of inpatient medical records, especially on toddler’s acute diarrhea is in the completeness and consistency of qualitative data on medical record documents.
PREDIKSI INCIDENCE DENGUE HEMORRHAGIC FEVER (DHF) MENGGUNAKAN JARINGAN SARAF TIRUAN (ARTIFIAL NEURAL NETWORK) Jerhi Wahyu Fernanda, S.Si, M.Si -; Forman Novrindo Sidjabat
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.199

Abstract

Time series analysis is one of the statistical methods used as tools to predict the incidence of a disease. Autoregressive Integrated Moving Average (ARIMA) model is a frequently used method. However, this method has some disadvantages as there are assumptions that must be met and can not explain nonlinear cases. This condition requires a more flexible method, namely Artificial Neural Network (ANN). This study aims to apply the ANN method to predict the incidence of Dengue Hemorrhagic Fever DHF 2018 in one district in East Java province. Selection of this district is based on the conditions in this area that experienced DHF Outbreak (KLB) in 2015. Data used in this reseach is incidence DHF from January 2013 to December 2017. Data is divided into two parts, namely training data consisting of incidence DHF januari 2013 until December 2016. Data testing consists of DHF incidence from 2017 to December 2017. The best ANN model is an ANN model with 9 nodes on a hidden layer with a Root Mean Square Error (RMSE) value of 7.914. DHF incidence prediction in 2018 January to December has tended to be constant at 9 and has a tendency to stagnate.
KERAHASIAAN REKAM MEDIS DI RUMAH SAKIT AVECIENA MEDIKA MARTAPURA Nina Rahmadiliyani; Faizal Faizal
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.189

Abstract

Medical records are managed by procedures and standards and policies of the organization. Information on identity, diagnosis, history of disease, history of examination, and patient medical history are kept confidential by doctors, dentists, health workers, management officers and leaders of health care facilities. This study aims to provide an overview of confidentiality and medical record request process at the Medical Record Unit of Aveciena Medika Hospital. The research method used is descriptive qualitative method. The data collection process was done by observation and interview to the officer of Medical Record Work Unit for 3 people. Result: the implementation of medical record confidentiality is an unwritten agreement, by using oath to medical recorder, doctor, dentist in stored medical record file. In the request of medical records relating to legal aspects, institutions or institutions of the insurer, and the interests of the patient, medical records can not be borrowed or taken out but are allowed to borrow copies of copies of resumes provided that there is a cover letter from the court or the insurer and make written permission. Conclusion. Medical Record Work Unit does not yet have a comprehensive medical records confidentiality policy and is still implemented in small units in terms of filling room permit. Requests for medical information should be preceded by making written permission addressed to the leader of the health service facility.
KEAKURATAN KODE DIAGNOSIS DENGAN ICD-10 DI PUSKESMAS PENGASIH I DAN PENGASIH II laili rahmatul ilmi
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.195

Abstract

Background: The implementation of Electronic Medical Record (EMR) in Puskesmas Kulon Progo as a tool to communicate and coordinate between health practitioner related with patient’s status. On the other hand, it as a monitoring and evaluating morbidity surveillance. The accurateness of Code Diagnosis by using ICD-10 can improve the quality of itObjective: to evaluate the accurateness of code diagnosis to improve the quality of EMR data.Methode: descriptive study with a qualitative approach by using secondary data from EMR system with using cross sectional desaign. The object that is used of 234 code diagonosis from Pengasih I and Pengasih II health centres, the participants as an interviewee which is they divided from nurse, a midewife as the officer who filled directly into the EMR diagnosis code in SIMPUS. Data collection techniques used were interview, observation and study document by using EMR data from SIMPUSResult: 234 code diagnosis from EMR data between Pengasih I and Pengasih II are analysed based on ICD-10, there are code diagnosis from EMR in Pengasih I accurateness 30 (26%), not accurateness 87 (74%). In Pengasih II accurateness 35 (30%) and not accuratness 82 (70%). The factors that lead to coding diagnosis inaccuracies are element man, method and machineConclusion: The results suggest that although they already used the EMR, the quality of the data especially related to the coding diagnosis still low
KASUS TUBERKULOSIS DENGAN RIWAYAT DIABETTES MELLITUS DI WILAYAH PREVALENSI TINGGI DIABETTES MELLITUS Hendra Rohman
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.201

Abstract

Tuberculosis (TB) and diabetes mellitus (DM) are both important health issues. A bidirectional association between them has been demonstrated. The link of DM and TB was more prominent in developing countries where TB is endemic and the burden of diabetes mellitus is increasing. The association between diabetes and tuberculosis may be the next challenge for global tuberculosis control worldwide. Proper planning and collaboration are necessary to reduce the dual burden of diabetes and TB. In order to encourage the implementation of TB prevention programs, data and information are needed in the information system. An integrated and integrated TB programming information system. Spatial analysis with an information system is a device that can detect of hight risk areas, so it can help for handling and control. TB patients with DM 2014 in the Kulon Progo regency, there were 16 people. Spatial analysis using GeoDa TM software version 1.6.6, and ArcGIS version 10.1.The spatial interaction model is a classical regression model that there have significant correlation between DM population with pulmonary TB-DM incidence, with p value = 0.03776, but no spatial dependence. TB control strategy through TB development program. TB program storage program and DM holder in Dinas Kesehatan want to do monitoring to monitor lung tuberculosis patient with history of DM
Analisis Penyebab Terjadinya Missfile Dokumen Rekam Medis Rawat Jalan di Ruang Penyimpanan(Filling) RSUD Kota Bengkulu Tahun 2017 Djusmalinar Djohar; Nova Oktavia; Fitrah Tri Damayanti
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.190

Abstract

Pelaksanaan penjajaran dokumen rekam medis di RSUD Kota Bengkulu masih ditemukan adanya salah letak (misfiled) sehingga menghambat dalam proses pengambilan dan pengembalian dokumen rekam medis baik yang di simpan maupun yang akan dipinjam. Penelitian ini bertujuan untuk mengetahui gambaran sistem peminjaman terhadap kejadian misfile dokumen rekam medis rawat jalan pada ruang penyimpanan (filling) di RSUD Kota Bengkulu. Jenis penelitian ini adalah observasional dengan rancangan deskriptif yaitu melakukan deskripsi mengenai fenomena yang ditemukan. Populasi dalam penelitian ini adalah seluruh dokumen rekam medis rawat jalan pada ruang penyimpanan (filling) di RSUD Kota Bengkulu yang berjumlah 10.300 dokumen rekam medis dan sampel penelitian ini sebanyak 385 dokumen rekam medis, yang diambil secara systematic random sampling. Penelitian ini menggunakan data primer yang diukur menggunakan lembar observasi dan buku ekspedisi. Setelah data terkumpul, dianalisis secara univariat menggunakan tabel distribusi frekuensi dan interpretasi. Hasil penelitian ini didapatkan bahwa dari 385 dokumen rekam medis rawat jalan, hampir seluruh yaitu 274 (71,1%) yang dokumen rekam medis rawat jalan tidak tercatat di buku ekpedisi dan tidak tahu keberadaanny Dari 4 rak yang diamati terdapat 170 (44,1%) dokumen rekam medis yang mengalami missfile, yaitu tidak sesuai pada rak semestinya atau terletak pada rak lain. Perlunya mengadakan pelatihan khusus untuk petugas rekam medis, melakukan desain ulang pada ruang filling agar jarak antar rak filling lebih ergonomis, menggunakan tracer dan memaksimalkan pencatatan pada buku ekspedisi, pemasangan protap/SOP di ruang penyimpanan (filling) dan mensosialisasikan protap/SOP, mggunakan kode warna pada map folder, perlunya menggunakan sistem elektronik seperti SIMRS di bagian administrasi.
ANALISIS BEBAN KERJA TENAGA FILING REKAM MEDIS (STUDI KASUS RUMAH SAKIT IBU DAN ANAK BAHAGIA MAKASSAR) Thabran Talib
Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Vol 6, No 2 (2018)
Publisher : Asosiasi Perguruan Tinggi Rekam Medis dan Informasi Kesehatan Indonesia- APTIRMIKI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33560/.v6i2.196

Abstract

The initial obsevation in medical record of RSIA Bahagia Makassar is known the total number of personnel amounted to 10 people, the details of the admin 6 people, the data processing 4 people, while the filing part there is no power so that the workload analysis of medical record filing personnel. descriptive research method with observational analytic approach of accidental sampling population from daily average of 54 medical record files. Data collection with obesrvation using data analysis methods work load analysis. Based on the results of the effective working hours at RSIA Bahagia Makassar is 5.25 hours / day (18900 seconds) has been in accordance with the standard working hours of 5.25 hours / day (18900 seconds) and the completion time of all work in the filing section has been appropriate only only in the filing section there are no permanent personnel who handle the process in filing is still implemented by medical record personnel who also concurrently duty at the place of registration of patients. So the workforce in filing requires 1 person permanent personnel. The hospital should pay attention to the workforce and need to create the organizational structure of the medical record unit. With the organizational structure in the medical record unit it can clarify the responsibility, position, job description, thus it will form a permanent employee in the filing to maintain a workload within a certain time.

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