Quality Improvement: Identifying and Collecting Data
Authors: John D. Voss, MD
Credit/contact hours: .5
Estimated time to complete: 20 minutes
Publication Date: Nov 6, 2019
Expiration date: Nov 6, 2022
In this final module about the Plan step of the PDSA cycle, we will review how to identify the quality data necessary to test the value of process changes you are planning to make. Without this preparation, chances are that your test will be weak or inconclusive. We examine the different types of data that may be collected: process data and outcomes data. We look at all the formats in which data may be collected: nominal, ordinal, continuous, and how to go about collecting these types of data.
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.