Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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The diffusion and policy options of the diagnostic imaging technologies in Korea

의사결정나무 분석을 사용한 고가의료장비의 다빈도 사용 특성 분석

  • Choi, Yoon Jung (Health Insurance Review & Assessment Service) ;
  • Kwak, Minjung (Department of Digital Information and Statistics, Pyeongtaek University) ;
  • Yoon, Min (Department of Statistics, Pukyong National University)
  • 최윤정 (건강보험심사평가원 심사평가연구소) ;
  • 곽민정 (평택대학교 디지털응용정보학과) ;
  • 윤민 (부경대학교 통계학과)
  • Received : 2014.12.22
  • Accepted : 2015.01.12
  • Published : 2015.01.31
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Abstract

The cost of advanced medical technologies is commonly considered to be a major factor in the overall escalation of expenditures on health. The use of computed tomography (CT) scanning has increased dramatically over the past decade. CT has been rapidly adopted, despite their high cost. The aim of this study is to analysis the increasing factor of the frequency of the CT, using the decision tree model. Finally, we propose the effective policy option of diagnostic imaging technology in Korea.

최근 고가의료장비의 도입으로 진단기술이 빠르게 발전하고 있으나 이에 따른 건강보험 재정의 부담이 크게 늘어 이에 대한 적절한 관리와 효율적 운영에 대한 정책이 필요하다. 이에 따라 본 연구에서는 의사결정나무분석 모형을 사용하여 CT 의료장비의 검사빈도에 영향을 미치는 요인을 파악하여 효율적 운영에 대한 방안을 제시한다.

Keywords

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