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Abstract:
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Statistical process control (SPC) is making notable inroads in the health care industry. The application of SPC we will consider here involves monitoring the mortality associated with a health care procedure, which, in order to be effective, requires accounting for the fact that the risk of mortality for each patient depends not only on the quality of the procedure, but also on risk factors that are unique to each patient that exist prior to the procedure. Incorporating these risk factors (covariates) into the monitoring scheme is known as risk adjustment. We will discuss the risk-adjusted varieties of several well-known charts: Shewhart p-chart, the Sets method, the resetting SPRT, and the Bernoulli Cusum chart. We also will discuss a new risk-adjusted Cusum chart for monitoring right-censored survival times and consider areas of future development.
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