대한안전경영과학회지 (Journal of the Korea Safety Management & Science)

  • 제15권2호
  • /
  • Pages.243-253
  • /
  • 2013
  • /
  • 1229-6783(pISSN)
  • /
  • 2288-1484(eISSN)
대한안전경영과학회 (Korea Safety Management & Science)
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의학적 의사결정 지표의 고찰 및 해석에 기초한 품질통계기법의 적용

Application of Quality Statistical Techniques Based on the Review and the Interpretation of Medical Decision Metrics

  • 최성운 (가천대학교 산업공학과)
  • Choi, Sungwoon (Department of Industrial Engineering, Gachon University)
  • 투고 : 2013.01.09
  • 심사 : 2013.03.13
  • 발행 : 2013.06.30
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초록

This research paper introduces the application and implementation of medical decision metrics that classifies medical decision-making into four different metrics using statistical diagnostic tools, such as confusion matrix, normal distribution, Bayesian prediction and Receiver Operating Curve(ROC). In this study, the metrics are developed based on cross-section study, cohort study and case-control study done by systematic literature review and reformulated the structure of type I error, type II error, confidence level and power of detection. The study proposed implementation strategies for 10 quality improvement activities via 14 medical decision metrics which consider specificity and sensitivity in terms of ${\alpha}$ and ${\beta}$. Examples of ROC implication are depicted in this paper with a useful guidelines to implement a continuous quality improvement, not only in a variable acceptance sampling in Quality Control(QC) but also in a supplier grading score chart in Supplier Chain Management(SCM) quality. This research paper is the first to apply and implement medical decision-making tools as quality improvement activities. These proposed models will help quality practitioners to enhance the process and product quality level.

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참고문헌

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