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논문

보건의료연구를 위한 건강보험 자료의 효과적 활용방법

How to Use Health Insurance Data Effectively for Healthcare Research

pp. 31-39

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참고문헌

키워드

초록

Objectives: The purpose of this study is to present an understanding of the structure and characteristics of health insurance data, which should be basi- cally known in order to use this data more effectively to derive more accurate research results across health and medical care, and an effective use method based on it. Methods: The National Health Insurance Sharing Service and Healthcare Big data open system was reviewed to suggest the struc- ture and characteristics of health insurance data and an efficient use method, and Google Scholar and the Korean Studies Information Service System were used to review the overall application method according to the characteristics of healthcare big data and related literature. Results: The types and characteristics of each research data for public use provided by National Health Insurance Service (NHIS), Health Insurance Review & Assessment Service (HIRA), and the differences between the data of the two institutions were compared and presented. In addition, for the efficient use of health insurance data in healthcare research, understanding the structure and characteristics of health insurance data based on the health insurance system, clear opera- tional definition of analysis variables, adjust bias between comparison groups in case-control study, and the interpretation of analysis results suggest that both statistical and clinical significance should be considered. Conclusions: It is very important to understand the structure and characteristics of health insurance data based health insurance system. And if we consider in more depth ways to efficiently utilize the health insurance data presented in this study, it will be of great help to future researchers and to improve the quality of the research.

Abstract

Objectives: The purpose of this study is to present an understanding of the structure and characteristics of health insurance data, which should be basi- cally known in order to use this data more effectively to derive more accurate research results across health and medical care, and an effective use method based on it. Methods: The National Health Insurance Sharing Service and Healthcare Big data open system was reviewed to suggest the struc- ture and characteristics of health insurance data and an efficient use method, and Google Scholar and the Korean Studies Information Service System were used to review the overall application method according to the characteristics of healthcare big data and related literature. Results: The types and characteristics of each research data for public use provided by National Health Insurance Service (NHIS), Health Insurance Review & Assessment Service (HIRA), and the differences between the data of the two institutions were compared and presented. In addition, for the efficient use of health insurance data in healthcare research, understanding the structure and characteristics of health insurance data based on the health insurance system, clear opera- tional definition of analysis variables, adjust bias between comparison groups in case-control study, and the interpretation of analysis results suggest that both statistical and clinical significance should be considered. Conclusions: It is very important to understand the structure and characteristics of health insurance data based health insurance system. And if we consider in more depth ways to efficiently utilize the health insurance data presented in this study, it will be of great help to future researchers and to improve the quality of the research.

참고문헌 (28)

  1. Kim JA, "Introduction and utilization of claim data by Health Insurance Review and Assessment Service for medical health research", OLD, 2(1), pp.3~9 (2014)
  2. 이정아, "연구를 위한 건강보험 청구자료 요구 및 이용 요인분석", 보건행정학회지, 21(1), pp.77~92 (2011), 한국보건행정학회
  3. National Health Insurance, "Medical device and service development seminar using public medical big data", KIMES 2022 (2022)
  4. "NHIS DB research support increased 12 times in 6 years"[URL]
  5. "2021 National health information data review committee minutes"[URL]
  6. "HIRA big data analysis educational material–Introduce to HRA bigdata and support service"[URL]
  7. Research on the development of an analysis method inspection tool to improve the quality of big data research using the national health information DB, "Lim HS", NHIS Ilsan hospital research center, ~ (2020)
  8. Park JH, "How to use big data from NHIS bigdata", The 5th Clinical Research Methodology Workshop (2016), Korean Association for the Study of the Liver
  9. National Health Insurance Service, "Operational regulations for provision of national health information data", ~ (2020)
  10. "National Health Insurance Sharing Service"[URL]
  11. National Health Insurance Service, "Sample Cohort DB 2.2 user manual (Ver 1.3)", ~
  12. 박진수, "Clinical Study Using Healthcare Claims Database", 대한류마티스학회지, 28(3), pp.119~125 (2021), 대한류마티스학회
  13. "National Health Insurance Sharing Service"[URL]
  14. National Health Insurance Service, "Senior Cohort DB 2.0 user manual (Ver 1.0)", ~
  15. National Health Insurance Service, "Health Screening Cohort DB 2.1user manual (Ver 2.1)", ~
  16. National Health Insurance Service, "Environmental diseases DB user manual (Ver 1.0)", ~
  17. "National Health Insurance Sharing Service"[URL]
  18. Health Insurance Review & Assessment Service, "Patient Sample Data user guide", ~ (2022)
  19. Health Insurance Review & Assessment Service, "HIRA customized research analysis user guide", ~ (2022)
  20. Son W., "Choosing the right data for the type of health and medical big data and my research", The 7th Clinical Research Methodology Workshop (2018), Korean Association for the Study of the Liver
  21. Park EC, "Assessment and improvement of health insurance claim disease code and medical record consistency", Yonsei University, 287~ (2017)
  22. Soni PD, "Selection bias in population registry based comparative effectiveness research", Int J Radiat Oncol Biol Phys, 103(5), pp.1058~1060 (2019)[DOI]
  23. 정현수, "건강보험 빅데이터를 이용한 임상 연구: 실제와 전망", 대한내과학회지, 94(6), pp.463~470 (2019), 대한내과학회[DOI]
  24. 경대성, "Understanding and Utilizing Claim Data from the Korean National Health Insurance Service (NHIS) and Health Insurance Review & Assessment (HIRA) Database for Research", 지질·동맥경화학회지, 11(2), pp.103~110 (2022), 한국지질동맥경화학회[DOI]
  25. "Korean Statistical Information Service"[URL]
  26. Oh SW, "Medical use of health insurance big data", Medical Policy Forum, 12(3), pp.18~23 (2014)
  27. Dong-Ryeol Ryu, "Introduction to the Medical Research Using National Health Insurance Claims Database", The Ewha Medical Journal, 40(2), pp.66~ (2017), The Ewha Medical Journal, Ewha Womans University College of Medicine[DOI]
  28. 김혜경, "Data Configuration and Publication Trends for the Korean National Health Insurance and Health Insurance Review & Assessment Database", Diabetes and Metabolism Journal, 44(5), pp.671~678 (2020), 대한당뇨병학회[DOI]

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