Carey Raymond G
R. G. Carey and Associates, Park Ridge, Illinois, USA.
J Ambul Care Manage. 2002 Apr;25(2):78-88. doi: 10.1097/00004479-200204000-00010.
This article builds on my article in the January 2002 issue of JACM on the use of run charts to analyze data variation and document process improvement. It describes a more powerful tool than the run chart for analyzing variation and measuring process improvement, namely, the control chart developed by Walter Shewhart. This article first explains the basic elements of a control chart, the tests for detecting a special cause variation, and how to choose the best control chart for the type of data being collected. It concludes with one case study using a control chart to document a successful intervention and some suggestions regarding computer software.
本文基于我在2002年1月期《美国计算机协会会刊》上发表的关于使用运行图来分析数据变化和记录过程改进的文章。它介绍了一种比运行图更强大的用于分析变化和衡量过程改进的工具,即沃尔特·休哈特开发的控制图。本文首先解释了控制图的基本要素、检测特殊原因变化的测试方法,以及如何为所收集的数据类型选择最佳的控制图。文章最后通过一个使用控制图记录成功干预措施的案例研究以及一些关于计算机软件的建议来结束。