Quality Improvement: Analyzing the Test of Change
Authors: John D. Voss, MD
Credit/contact hours: .25
Estimated time to complete: 15 minutes
Publication Date: Nov 6, 2019
Expiration date: Nov 6, 2022
In this module, we will describe a basic approach to analyzing quality improvement (QI) data. The first step is to prepare your data for analysis. We examine how to use bar chart, histograms, and run or control charts to discover patterns and important outcomes of your test of change. We use examples of QI tests to illustrate the underlying principles.
Note: This course is eligible for ACPE credit.
Learners participate in the interactive learning modules by correctly answering multiple choice questions dispersed throughout. Learners will be prompted to try again, if a question is answered incorrectly.The course will open in a new tab – to exit the course, simply close the tab.