Journal of Wellbeing Management and Applied Psychology (웰빙융합연구)

Korea Wellbeing Convergence Association (한국웰빙융합학회)
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A Study on ICD-11 through Mapping to KCD-8 - Focusing on the Circulatory and Respiratory System -

  • Hyun-Kyung LEE (Department of Health Administration, Jaenueng University) ;
  • Yoo-Kyung BOO (Department of Health Administration, Dankook University)
  • Received : 2023.08.13
  • Accepted : 2023.09.24
  • Published : 2023.09.30
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Abstract

Purpose: This research aims to facilitate a smooth transition from KCD-8 to ICD-11 through the study of ICD-11. Research design, data and methodology: Skilled Health Information Managers (HIMs) in Korea performed manual mapping and conducted a study of the code structure of ICD-11 chapters 11 and 12. Results: When comparing the granularity between ICD-11 and KCD-8, 58.1% of ICD-11 codes showed higher granularity, and 38.6% had similar granularity. The granularity of the circulatory system was higher than that of the respiratory system. When comparing the KCD-8 codes mapped by ICD-11 with the total 924 KCD-8 codes, it was found that about 50% of KCD-8 codes were not mapped to ICD-11. This means that 50% of diseases in the KCD-8 do not have individual codes as they did in ICD-11. Conclusions: ICD-11 demonstrated high granularity, indicating its effectiveness in describing cutting-edge medical technology in modern society. However, we also observed that some diseases were removed from KCD-8, while others were added to ICD-11. To ensure smooth statistics transition from KCD8 to ICD-11, especially for leading domestic diseases, integrated management, including the preparation of KCD-9 reflecting ICD-11 and ICD-11 training, will be necessary through the analysis of new codes and the removal of codes.

Keywords

Acknowledgement

This research has been supported by Statistics Korea through the study 'Field trial study of ICD-11(KM), year 3' in 2022.(11-1240000-001341-01)

References

  1. Chen, D., Zhang, R., Zhao, H., & Feng, J. (2019). A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics, J Healthc Eng, 2019:1649363.
  2. Chute, C. G., & Celik, C. (2022). Overview of ICD-11 architecture and structure. BMC Med Inform Decis Mak, 21(Suppl 6):378.
  3. Drosler, S., E., Weber, S., & Chute, C., G. (2021). ICD-11 extension codes support detailed clinical abstraction and comprehensive classification. BMC Med Inform Decis Mak, 21(Suppl 6), 278.
  4. Eastwood, C., A., Southern, D., A., Khair, S., Doktorchik, C., Cullen, D., Ghali, W., A., & et al. (2022). Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018. BMC Res Notes, 15(1), 343.
  5. Fiorillo, A., & Falkai, P. (2021). The ICD-11 is coming to town! Educational needs, paradigm shifts and innovations in mental health care practice. Eur Psychiatry, 64(1), e73.
  6. Fung, K., W., Xu, J., & Bodenreider, O. (2020). The new International Classification of Diseases 11th edition: a comparative analysis with ICD-10 and ICD-10-CM. J Am Med Inform Assoc., 27(5), 738-46.
  7. Fung, K., W., Xu, J., McConnell-Lamptey, S., Pickett, D., & Bodenreider, O. (2021). Feasibility of replacing the ICD-10-CM with the ICD-11 for morbidity coding: A content analysis. J Am Med Inform Assoc., 28(11), 2404-11.
  8. Gaebel, W., Stricker, J., & Kerst, A. (2020). Changes from ICD10 to ICD-11 and future directions in psychiatric classificationDialogues Clin Neurosci, 22(1), 7-15.
  9. Grosjean, J., Billey, K., Charlet, J., & Darmoni, S., J. (2020). Manual Evaluation of the Automatic Mapping of International Classification of Diseases (ICD)-11 (in French). Stud Health Technol Inform, 270, 1335-6.
  10. Harrison, J., E., Weber, S., Jakob, R., & Chute, C., G. (2021). ICD-11: an international classification of diseases for the twenty-first century. BMC Med Inform Decis Mak, 21(Suppl 6), 206.
  11. Haux, R. (2006). Health information systems - past, present, future. Int J Med Inform, 75(3-4), 268-81. https://doi.org/10.1016/j.ijmedinf.2005.08.002
  12. Ibrahim, I., Alrashidi, M., Al-Salamin, M., Kostanjsek, N., Jakob, R., Azam, S., & et al. (2022). ICD-11 Morbidity Pilot in Kuwait: Methodology and Lessons Learned for Future Implementation. Int J Environ Res Public Health, 19(5).
  13. Lam, W., C., Lyu, A., & Bian, Z. (2019). ICD-11: Impact on Traditional Chinese Medicine and World Healthcare Systems. Pharmaceut Med, 33(5), 373-7.
  14. Lee, H. (2021). Mapping Icd-11 (the 11th International Classification of Disease) to Icd-10-Km-7th (the Korean Modification 7th of the Icd-10) for Flexible Transition to Icd11. Perspect Health Inf Manag, 18(3), 1b.
  15. Lee, H., & Kim, S. (2022). Impact of the ICD-11 on the accuracy of clinical coding in Korea. Health Inf Manag, 18333583221095147.
  16. Mohd, S., I., Karlsson, D., & Koch, S. (2017). Mapping Acute Coronary Syndrome Registries to SNOMED CT. A Comparative Study between Malaysia and Sweden. Methods Inf Med., 56(4), 330-8.
  17. Pezzella, P. (2022). The ICD-11 is now officially in effect. World Psychiatry, 21(2), 331-2. https://doi.org/10.1002/wps.20982
  18. Safran, C., Bloomrosen, M., Hammond, W., E., Labkoff, S., Markel-Fox, S., Tang, P., C., & et al. (2007). Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. J Am Med Inform Assoc, 14(1), 1-9.