Review Of The Accuracy Of Diagnosis Codes For Inpatients With Diabetes Mellitus Type II Cases Based On ICD-10 At Berkah Pandeglang Regional Public Hospital In The Period Of January-April 2025

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Quantitative descriptive analysis of coding accuracy in 56 inpatient diabetes cases, suggesting improvement in procedures and training.

Accuracy of diagnosis coding for type II diabetes mellitus inpatients was determined at 51.78%, indicating a need for improvement in coding practices.
Key evidence shows that only 85% of required coding procedures were implemented, highlighting gaps in operational adherence.
Quantitative descriptive research was conducted involving 56 medical records and 3 coding officers, providing a focused look at coding accuracy.
Findings suggest that while supporting infrastructure is adequate, the absence of Electronic ICD-10 coding tools limits coding efficiency and accuracy.

Rahmawati et al. (2025) studied this question.

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Quantitative descriptive analysis of coding accuracy in 56 inpatient diabetes cases, suggesting improvement in procedures and training.

Accuracy of diagnosis coding for type II diabetes mellitus inpatients was determined at 51.78%, indicating a need for improvement in coding practices.
Key evidence shows that only 85% of required coding procedures were implemented, highlighting gaps in operational adherence.
Quantitative descriptive research was conducted involving 56 medical records and 3 coding officers, providing a focused look at coding accuracy.
Findings suggest that while supporting infrastructure is adequate, the absence of Electronic ICD-10 coding tools limits coding efficiency and accuracy.

Rahmawati et al. (2025) studied this question.

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