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控制图、累积和技术与漏斗图。医疗保健中绩效监测方法的综述。

Control charts, Cusum techniques and funnel plots. A review of methods for monitoring performance in healthcare.

作者信息

Noyez Luc

机构信息

Department of Cardio-Thoracic Surgery - 677, Heart Center, Radboud University Nijmegen, 6500 HB Nijmegen, The Netherlands.

出版信息

Interact Cardiovasc Thorac Surg. 2009 Sep;9(3):494-9. doi: 10.1510/icvts.2009.204768. Epub 2009 Jun 9.

Abstract

Quality control in medicine is generating more and more interest. Industrial concepts of quality control have been refined and transformed to be useful in healthcare monitoring. Whereas medical practitioners first reaction to this new concept of quality control was negative 'we're treating patients, we're not a part of an industrial process', some dramatic cases of inferior medical performance urged the need to adequately monitor healthcare outcomes. To date, several methods have been described, and more and more reports deal with the subject. Most of us, however, are overwhelmed by the new and different tools in use such as Shewhart control charts, cumulative sum charts and funnel plots. This paper will review the methodology of statistical process control and its application in medical practice.

摘要

医学中的质量控制正引发越来越多的关注。工业领域的质量控制概念已得到完善和转变,以便在医疗保健监测中发挥作用。尽管医学从业者对这种新的质量控制概念的第一反应是否定的,即“我们是在治疗患者,我们不是工业生产过程的一部分”,但一些医疗表现不佳的严重案例促使人们有必要对医疗保健结果进行充分监测。迄今为止,已经描述了几种方法,并且越来越多的报告涉及这个主题。然而,我们大多数人都被正在使用的诸如休哈特控制图、累积和控制图以及漏斗图等新的不同工具弄得不知所措。本文将回顾统计过程控制的方法及其在医学实践中的应用。

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