Data Analysis Papers
Health Care Applications of Statistical Process Control:
Examples Using the SAS System
Robert Rodriguez, SUGI Proceedings, 1996.
Abstract
Health care applications present a new frontier for statistical process control (SPC) methods. Interest in SPC is driven by a desire to improve patient outcomes in the face of capitation, cost reduction, competition, and changing health care industry standards. This paper illustrates the use of SAS software to analyze health care data with u charts, p charts, control charts for individual measurements, analysis of means for rates and proportions, simultaneous confidence intervals for proportions, and basic forecasting methods. Each of these methods provides a graphical display that facilitates understanding of process variability.
