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All Journal LINK Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal Rekam Medis dan Informasi Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Jurnal Ners Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Indonesian Journal of Health Information Management (IJHIM) Proceeding of International Conference Health, Science And Technology (ICOHETECH) Indonesian Journal of Health Information Management Services (IJHIMS)
Astri Sri Wariyanti
STIkes Mitra Husada Karanganyar
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Tinjauan Keakuratan Kode External Cause Diagnosis Cedera Kepala Berdasarkan ICD-10 Pada Rekam Medis Pasien Rawat Inap Di RSUP Dr. Soeradji Tirtonegoro Reza Widiantoro; Astri Sri Wariyanti; Ninawati
Indonesian Journal of Health Information Management Vol. 3 No. 1 (2023)
Publisher : Sekolah Tinggi Ilmu Kesehatan Mitra Husada Karanganyar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54877/ijhim.v3i1.97

Abstract

A preliminary survey was conducted, showing that 10 out of 10 external code medical records for the diagnosis of head injuries were inaccurate. The purpose of this study was to determine the accuracy of the external cause code for diagnosing head injuries based on the ICD-10 in the medical records of inpatients at dr. Soeradji Tirtonegoro. The research type was descriptive, with a retrospective approach. The study was conducted in the filing room. Time in May 2018. The total population of medical records for inpatients diagnosed with head injuries was 175 medical records. The sample size is 44 documents, with a systematic sampling technique. The instruments used were checklists, questionnaires, and observation guidelines. How to collect data from unstructured interviews and observation. Data analysis is descriptive in nature. The results of accuracy of the code external causes a diagnosis of head injury from 44 medical record documents 100% inaccurate code. Inaccuracy is incorrect code, there are 17 cases (39%) and there is incorect 5 categories code as many as 27 cases (61%). The conclusion is that inaccuracies occur because the officer has not carried out the inclusion and exclusion guidelines on the selected code, or the bottom of a chapter, block, category, or sub category in determining the selected code, directly coding without looking at the ICD when getting external cause information that often appear, and officers do not carry out coding up to 5 character digits because the standard for coding in hospitals is 15 minutes and officers still have to do an analysis of the completeness of medical records, code for claims, code in medical records, and still input into a computer.
Interactive ICD-10-Based Morbidity Dashboard Using BPJS Central Data: A Case Study of Karanganyar Regency Wahyu Wijaya Widiyanto; Ade Amallia; Astri Sri Wariyanti
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.44415

Abstract

The increasing complexity of disease trends in the post-pandemic era necessitates more accessible and data-driven decision-making tools, particularly in primary healthcare services. This study aims to develop an interactive morbidity dashboard based on ICD-10 classifications using secondary data from BPJS Kesehatan. The research focuses on outpatient visit records in Karanganyar Regency from 2020 to 2024. A descriptive quantitative approach was applied, accompanied by system development using Python. Data preprocessing involved standardizing ICD-10 codes, handling missing values, and grouping by year, gender, and age category. The resulting dashboard allows users to filter morbidity trends based on demographic variables and disease categories. The ten most prevalent disease groups include respiratory, digestive, endocrine, and circulatory disorders. This dashboard facilitates data-based decision-making and enables targeted promotive and preventive interventions in primary healthcare facilities.
Co-Authors Ade Amallia Febriyani Fauzi Marfuah Hanggargita Nur Wahyuningsih Harjanti Harjanti Harjanti Harjanti HJ Harjanti Janti Linda Widyaningrum Linda Widyaningrum Lutfi Maratin Martinus Siswahyudhi Wiratomo Ninawati Noorlitasari Reza Widiantoro Sauha Lulumanin Sri Sugiarsi Sri Wahyuningsih Trismianto Asmo Sutrisno Vera Yulianti Budiyani Widiyanto, Wahyu Wijaya