Topic: Quality Improvement

Speaker: Dr. Karen Ratliff-Schaub

Location: Virtual - Teams

Objectives:

a. Understand various models of quality improvement and recognize that all utilize a data-informed, iterative process using tests of change to achieve a stated aim
b. Understand that the aim of any quality improvement project should be specific, measurable, achievable, realistic, and time-limited
c. Understand strategies to optimize identification of key drivers and interventions to achieve a specific aim
d. Understand tools to facilitate completion of quality improvement work, including key driver diagrams and process maps
e. Understand each phase of a Plan-Do-Study-Act (PDSA) cycle
2. Data and Measurement
a. Differentiate between process, outcome, and balancing measures
b. Interpret a run chart and identify shifts, trends, and outliers in data
c. Differentiate between a run chart and a control chart
d. Differentiate between common cause and special cause variation