PHM Focus

Schedule at a Glance

Statistical Concepts in Quality Improvement

Primary Leader:
Matthew Hall

Amanda Schondelmeyer

Objective 1:
To gain familiarity with a variety of charts and statistical techniques for display and analysis of the types of data commonly used in quality improvement, including percentage of process successes or defect and time-between event data.

Objective 2:
To apply these concepts in the graphical presentation and analysis of data using a test dataset and publicaly available EXCEL macros.

Objective 3:

There is an increased focus on using quality improvement science in healthcare to establish and monitor cost and quality measures in hospitals. Statistical tools allow us to make appropriate decisions regarding the need for improving processes and the impact of improvements. These tools determine the nature and sources of variation in a process without jumping to erroneous conclusions. We will introduce the vast array of tools available in statistical process control (SPC) and explain how this data can be represented graphically. After a brief introduction to necessary basic statistical concepts (measures of central tendency and variation), we will explore a variety of commonly used control charts and demonstrate how to create them in EXCEL. Finally, we will explain how to determine if a process is out of control using a variety of stability rules. We will present multiple examples in healthcare and see how organizations such as the Joint Commission are using SPC to monitor hospital data.