Attention math lovers and math phobes! This session is a hands-on workshop in which you will learn how to transform raw data into run and control charts using real facility data. Building on an example using a single resident incident, the presenters will engage you in step-by-step calculations to demonstrate the statistical theory of improvement in action. We also will discuss the three levels of fixes to address undesirable variation, starting with the individual incident and moving to the process and ultimately to the system. Then, we’ll continue the learning journey by building upon the run and control charts to demonstrate the specific improvement techniques of stratification (using a Pareto Matrix) and disaggregation to identify specific improvement projects. It will be helpful to have some knowledge of basic statistical theory, especially common cause and special cause variation.
Demonstrate how to create a run chart and then a control chart using actual facility data.
Demonstrate how to apply two statistical tests to determine the type of variation present.
Operationalize the three levels of fixes to address undesirable variation.
Outline improvement strategies for common cause variation.