<![CDATA[Inaccuracy in diagnosis coding can reduce the validity of morbidity data and lead to potential errors in health service claim tariffs. This study aims to analyze the accuracy level of the principal diagnosis code for Diabetes Mellitus (DM) cases in inpatients based on ICD-10 at RSUD dr. KH. Idham Chalid for the period of January–March 2026. This study employed a descriptive quantitative method with a retrospective cross-sectional design. The study population included all medical records of inpatients diagnosed with Diabetes Mellitus from January to March 2026. Sampling was carried out using a total sampling technique (saturated sampling), resulting in 117 medical record files. Data collection was conducted through document review of medical record recapitulations, which were subsequently analyzed using univariate percentage frequencies. The results showed that out of 117 medical record files, the accuracy rate of the principal diagnosis code reached 86.32% (101 cases). Meanwhile, the inaccuracy rate was recorded at 8.55% (10 cases), and the remaining 5.13% fell into ambiguous cases requiring further review or incomplete data. The primary factor causing code inaccuracy (70% of inaccurate cases) was the incorrect selection of the primary code from secondary diagnoses instead of the principal diagnosis. Based on the results of the study, it was concluded that the quality and accuracy rate of principal diagnosis coding for Diabetes Mellitus cases at RSUD dr. KH. Idham Chalid is fairly good and consistently above 80%. Nevertheless, periodic evaluation of diagnosis documentation completeness by attending physicians and enhancing coders' competencies remain necessary to optimize coding quality.]]>
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