Identification of Coding Discrepancies in Diabetes Mellitus Diagnosis Based on ICD-10

Authors

  • dwi lestari Medical Records and Health Information, University of Qamarul Huda Badaruddin Author
  • Heru Purnama Medical Records and Health Information, University of Qamarul Huda Badaruddin Author

DOI:

https://doi.org/10.37824/dxc1j643

Keywords:

Diabetes Mellitus, ICD-10, coding accuracy, medical records, diagnosis discrepancies

Abstract

This study aims to identify discrepancies in the coding of Diabetes Mellitus diagnoses based on the International Classification of Diseases, Tenth Revision (ICD-10). Accurate medical coding is essential for ensuring reliable medical records, appropriate hospital claims, and valid epidemiological data. The research employed a descriptive quantitative design involving patient medical records diagnosed with Diabetes Mellitus at a hospital. The study analyzed the concordance between physician-assigned codes and ICD-10 standards. Findings indicate a significant proportion of discrepancies, particularly in distinguishing primary and secondary diagnoses, leading to inaccuracies in coding practices. These results highlight the importance of continuous coder training and regular audits to minimize errors and improve the quality of health information systems.

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References

[1] World Health Organization, International Classification of Diseases 10th Revision (ICD- 10): Instruction Manual. Geneva: WHO, 2019.

[2] R. C. Hoyt, W. R. Yoshihashi, Health Informatics: Practical Guide. North Carolina: Lulu Press, 2019.

[3] International Diabetes Federation, IDF Diabetes Atlas, 10th ed. Brussels: IDF, 2021.

[4] Indonesian Ministry of Health, Basic Health Research (Riskesdas), Jakarta: MoH, 2018.

[5] World Health Organization, ICD-10: Tabular List. Geneva: WHO, 2016.

[6] T. O’Malley et al., “Measuring diagnoses: ICD code accuracy,” Journal of Health Information Management, vol. 24, no. 3, pp. 12–18, 2019.

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[8] A. R. Smith and B. R. Bentley, “Medical coding errors and their effect on hospital funding,” Health Services Research, vol. 55, no. 2, pp. 87–96, 2020.

[9] D. W. Walker et al., “The role of coding quality in healthcare finance,” Health Policy Journal, vol. 34, no. 4, pp. 55–63, 2018.

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Published

2025-12-24