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Atik Kurniawati
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jurnal@poltekkes-malang.ac.id
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INDONESIA
Jurnal Informasi Kesehatan Indonesia (JIKI)
ISSN : 24600334     EISSN : 26155516     DOI : -
Core Subject : Health,
Jurnal Informasi Kesehatan Indonesia is a journal to disseminate various scientific papers on health development and other research of health also disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of health applied.
Arjuna Subject : -
Articles 365 Documents
ANALISIS KESESUAIAN SOP PENGKODEAN DIAGNOSIS DAN TINDAKAN BERDASARKAN ICD DI RS UNIVERSITAS BRAWIJAYA Alvionita, Chyntia Vicky
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

SOP (Standar Operasional Prosedur) sangat penting dalam menjamin konsistensi dan akurasi pengkodean diagnosis dan tindakan medis. Ketidaksesuaian dengan standar dapat berdampak pada kualitas data dan pelayanan rumah sakit. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif yang dilakukan di Unit Rekam Medis Rumah Sakit Universitas Brawijaya. Data dikumpulkan melalui observasi dan wawancara terhadap 3 orang petugas rekam medis. Instrumen yang digunakan berupa lembar checklist untuk menilai kelengkapan isi SOP dan panduan wawancara untuk menggali pemahaman serta penerapan SOP dalam praktik sehari-hari. Hasil evaluasi menunjukkan bahwa dari 16 unsur yang dinilai, hanya 10 unsur (62,5%) yang terpenuhi, termasuk ketiadaan tanda tangan persetujuan, tidak lengkapnya petunjuk pengkodean ICD-10 volume 3, serta belum dijabarkannya langkah-langkah spesifik pengkodean. Wawancara mengungkapkan bahwa SOP yang ada dinilai kurang rinci dan belum memenuhi standar sebagai acuan utama. Para informan menyatakan bahwa SOP perlu diperbaiki agar dapat digunakan secara optimal dalam mendukung ketepatan pengkodean diagnosis dan tindakan. SOP pengkodean diagnosis dan tindakan di RS Universitas Brawijaya masih memerlukan revisi menyeluruh. Perbaikan elemen-elemen kunci dalam SOP perlu dilakukan agar SOP dapat berfungsi sebagai panduan operasional yang akurat, legal, dan sesuai dengan standar.
ANALISIS HUBUNGAN IMPLEMENTASI PMK NOMOR 26 TAHUN 2021 TERHADAP EFISIENSI PENGELOLAAN KLAIM JKN DALAM PERSPEKTIF KODER RUMAH SAKIT Muncarsari, Ananda Wahyu
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

Latar Belakang: Efisiensi klaim Jaminan Kesehatan Nasional (JKN) merupakan salah satu indikator penting dalam menjaga keberlanjutan sistem pembiayaan kesehatan di Indonesia. Implementasi kebijakan pemerintah, termasuk PMK Nomor 26 Tahun 2021, diharapkan mampu meningkatkan kualitas tata kelola klaim. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi efisiensi klaim JKN, dengan fokus pada implementasi PMK Nomor 26 Tahun 2021. Subjek dan Metode: Penelitian ini merupakan penelitian cross-sectional yang dilakukan pada rumah sakit di Indonesia. Populasi penelitian adalah petugas koder, dengan total sampel sebanyak 200 responden yang dipilih menggunakan teknik purposive sampling. Variabel dependen adalah efisiensi klaim JKN, sedangkan variabel independen meliputi jenis kelamin, usia, pendidikan terakhir, pengalaman kerja sebagai koder, jenis rumah sakit tempat bekerja, dan implementasi PMK Nomor 26 Tahun 2021. Instrumen pengumpulan data berupa kuesioner terstruktur. Analisis data menggunakan regresi linier berganda. Hasil: Analisis menunjukkan bahwa implementasi PMK Nomor 26 Tahun 2021 berpengaruh signifikan terhadap efisiensi klaim JKN (? = 0.46; CI 95% = 0.38-0.53; p = 0,000). Sementara itu, variabel jenis kelamin, pendidikan terakhir, pengalaman kerja sebagai koder, dan jenis rumah sakit tempat bekerja tidak berpengaruh signifikan terhadap efisiensi klaim JKN. Kesimpulan: Implementasi PMK Nomor 26 Tahun 2021 terbukti berkontribusi signifikan dalam meningkatkan efisiensi klaim JKN, sedangkan faktor karakteristik responden dan jenis rumah sakit tidak berpengaruh. Temuan ini menegaskan pentingnya penguatan implementasi regulasi dalam tata kelola klaim JKN. Kata kunci: efisiensi, klaim, JKN, regulasi, rumah sakit
PENGEMBANGAN MODEL PEMBELAJARAN INTERAKTIF BERBASIS CHATBOT UNTUK MENINGKATKAN PEMAHAMAN KODEFIKASI DIAGNOSA PADA MAHASISWA REKAM MEDIS: PENGEMBANGAN MODEL PEMBELAJARAN INTERAKTIF BERBASIS CHATBOT UNTUK MENINGKATKAN PEMAHAMAN KODEFIKASI DIAGNOSA PADA MAHASISWA REKAM MEDIS Widodo, Rulisiana
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

Health Information Management (HIM) students are required to possess a high level of competence in understanding and applying disease and procedure coding based on ICD-10 and ICD-9-CM. However, conventional learning methods that are less engaging and unresponsive have resulted in limited understanding of the correct coding logic among students. This study aims to develop a chatbot-based learning model as an innovation to enhance students’ comprehension of diagnosis coding. The research employed a Research and Development (R&D) approach using the ADDIE model to produce an interactive and effective chatbot-based learning system for improving diagnostic coding skills. The study population consisted of 37 fifth-semester HIM students who had completed the Diagnosis Coding course. Data were collected through observation, interviews, questionnaires, and pretest–posttest assessments. The research instruments included media and material validation questionnaires based on learning media development standards, as well as a conceptual understanding test that had been tested for validity and reliability. Data were analyzed descriptively, both quantitatively and qualitatively, by comparing students’ performance before and after using the chatbot to assess its effectiveness. The media validation results showed a feasibility score of 91% (very feasible), and the material validation reached 89% (feasible). The average pretest score of 63.2 increased to 84.7 in the posttest after learning with the chatbot. Furthermore, 92% of students responded positively to the media, finding it engaging, easy to use, and helpful in understanding diagnostic coding. The chatbot-based learning model proved effective in enhancing students’ comprehension of diagnostic coding and has the potential to serve as an adaptive digital learning innovation in the era of health information system transformation .
MISCLASSIFIKASI PASIEN DIABETES MELITUS TIPE 2 (T2DM) DI INDONESIA: TINJAUAN SISTEMATIS DENGAN METODE PRISMA Zein, Eiska Rohmania; Sunindya, Bernadus Rudy
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

Type 2 diabetes mellitus (T2DM) is a major health problem in Indonesia, with a steadily increasing incidence. The high prevalence of undiagnosed cases and the occurrence of clinical and administrative misclassification pose significant challenges to health services, epidemiological research, and the national financing system. This study aims to review evidence related to the forms, causes, and impacts of T2DM misclassification in Indonesia using a systematic review approach using the PRISMA method, and to provide strategic recommendations for system improvement. A literature search was conducted in international and national databases using the PRISMA 2020 framework. Of the 456 articles identified, 35 were fully screened, and 9 met the inclusion criteria. Data were synthesized narratively due to methodological heterogeneity between studies. Misclassification of T2DM was found in three main areas. First, clinical misclassification occurs, particularly of LADA and MODY, which are often labeled as T2DM. Second, diagnostic overreliance on HbA1c without verification with OGTT or FPG, potentially resulting in false-positive or false-negative results. Third, administrative inaccuracies in ICD-10 coding affect claims, registries, and national reports. Furthermore, the large proportion of undiagnosed diabetes patients exacerbates data distortions and delays in treatment. Misclassification of T2DM in Indonesia is a multidimensional problem that impacts patients, healthcare professionals, and policymakers. An integrated strategy is needed, including strengthening diagnostic algorithms, training coders, electronic data audits, and expanding screening of high-risk populations to reduce misclassification and improve service quality.
ANALISIS FAKTOR-FAKTOR KETIDAKAKURATAN KODEFIKASI EXTERNAL CAUSE PADA DOKUMEN REKAM MEDIS RAWAT INAP PASIEN BPJS DI RUMAH SAKIT ISLAM AISYIYAH MALANG Zein, Eiska Rohmania
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

Hospitals must ensure accurate medical records to support BPJS claims. External cause coding classifies causes ofinjuries or illnesses, yet inaccuracies remain. These errors affect claims, data analysis, and service quality. At Aisyiyah Islamic Hospital Malang, 75% of external cause codes were inaccurate. This study investigates the factors contributingto these inaccuracies. This research method will use mixed methods that combine quantitative methods for percentageinaccuracy and qualitative to obtain a comprehensive understanding of the inaccuracy factors of external causecodification in the medical record documents of BPJS patients at Aisyiyah Islamic Hospital Malang. It is known from 53data that 11 medical files or 21% of the data have accurate external cause diagnosis codification, and 42 medical record files or 79% of the data have inaccurate external cause diagnosis codification. There are still many injuries diagnosed by inpatient BPJS patients at RSI Aisyiyah Malang that are not written by officers, especially in the writing of the activistcode and its classification. The factors that cause inaccuracy of external cause codification in the medical record documents of BPJS patients at RSI Aisyiyah Malang consist of 5M, namely man, machine, method, material, and money. The main factor that causes inaccuracies is the lack of complete chronological documentation from the patient, the patient or family is incomplete, making it difficult for the officer to choose the appropriate external cause code. In addition, the lack of ongoing training related to ICD-10 also contributes to errors.