Overview of Diagnosis Code BPJS Patient Based on ICD-10 at Sengkol Health Center
DOI:
https://doi.org/10.37824/wtvfaw13Keywords:
diagnostic code, bpjs patients, accuracy, ICD-10, causal factorsAbstract
Community health centers (Puskesmas) implement electronic health records, which include diagnostic coding using the ICD-10 system. However, coding inaccuracies frequently trigger financial deficits due to reductions in BPJS reimbursement claims. This study aims to determine the accuracy of the resulting diagnostic codes and medical procedures. This descriptive study utilized a document review approach evaluating BPJS patient medical record files from December 2025. Data collection was conducted through direct observation utilizing a checklist instrument. The results from the analysis of 90 medical record files revealed that 85 files (94.4%) were coded accurately, while 5 files (5.6%) contained inaccurate codes. Variations in coding errors included incomplete or non-specific entry of the final digit character (as observed in Diabetes Mellitus, Calculus of kidney, and URTI), block code selection errors in chronic kidney disease, and inappropriate grouping of combination diagnoses into a non-specific single code for Gastritis and duodenitis cases. The primary factors causing these diagnostic coding inaccuracies include: 1) attending physicians frequently documenting incomplete diagnoses in the medical record files; 2) coders failing to conduct cross-checks or clarifications with the physicians when encountering ambiguous diagnostic entries; and 3) a lack of meticulousness among coding officers who tended to rely on shorthand reference notebooks ("buku pintar") rather than directly consulting the official ICD-10 guidelines.
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References
[1] Permenkes No 19, 2024. Sistem Informasi Puskesmas
[2] Permenkes RI No. 24 Tahnu 2022. Tentang rekam medis dan informasi kesehatan
[3] Pasasti & Santoso. 2021. Ketepatan dan Kelengkapan Berdasarkan ICD-10 Di Rumah Sakit Umum Daerah Kota Mataram Periode Tahun 2021. Mataram : Politeknik Medika Farma Husada
[4] Admisi Husada Borneo. 2024. Tinjauan Tingkat Keakuratan Kode Diagnosis Tyhpoid Fever Pasien Rawat Inap Berdasarkan ICD-10 Di Rumah Sakit Daerah Umum Kabupaten Sukoharjo
[5] Satu Sehat. 2024. Materi Pokok Rekam Medis. Universitas Terbuka :
[6] Tangerang Nurul Aini. 2023 Faktor Penyebab Ketidaktepatan Kode Diagnosis Pertama.
[7] Riski Amalia Syam. 2020. Tinjauan Tingkat Keakuratan Kode Diagnosis Tyhpoid Fever Pasien Rawat Inap Berdasarkan ICD-10 Di Puskesmas Guluk-Guluk
[8] Darmawan dkk. 2018. Manajemen Unit Kerja Rekam Medis. Yogyakarta : Quantum Sinergis Medis.
[9] Gilang Harianto. 2019. Literature Review Keakuratan Pemberian Kode Diagnosis Diabetes Mellitus.
[10] Permenkes No 75 2019. Pedoman Penyelenggaraan dan Proedur Rekam Medis Rumah Sakit di Indonesia, Revisi II. Jakarta : Departemen Kesehatan RI Direktorat Jenderal Bina Pelayanan Medik.
[11] Azwar. 2020. Jurnal Hubungan Antara Kelengkapan Informasi Medis Dengan Keakuratan Kode Diagnosis Tuberculosis Pada Dokumen Rekam Medis Rawat Inap di Rumah Sakit.
[12] A.akmadi 2018. Pedoman Manajemen Informasi Kesehatan Di Sarana Pelayanan Kesehatan.Jakarta : Universitas Indonesia.
[13] Endang, Asti S. R. W. 2019. Ketepatan Kode Diagnosis Di Era Jaminan Kesehatan Nasional (JKN).
[14] Hajarti., Dengan, Nanda Kususma Ningtyas. 2018. Strategi Keakuratan Kode Diagnosis Berdasarkan Metode SWOT.
[15] Stikes Borneo. 2024. Metodelogi Penelitian Kesehatan (Revisi Ked). Jakarta, Indonesia : Rineka Cipta.
[16] World Health Organization (WHO). 2010. Internasional Statistical Classification of Disease and Related Health Problem. USA : Geneva
[17] World Health Organization (WHO). 2011. ICD-10 Transition. Family Practice Management


