Now that you’ve selected your measures and started to collect data, what’s next?
Identifying and understanding variation in data is critical to your quality improvement efforts. This second session in our two-part series will introduce you to foundational concepts regarding variation and quality improvement. Participants will learn the importance of showing data over time and will be able to use a run chart to interpret signals of change.
After this webinar, participants will be able to:
- Discuss the importance of showing data over time
- Define what a run chart is, when to use one and why
- Interpret a run chart to find signals of change
Guest Speaker
Doug Campbell, Health Quality Council (Saskatchewan)
As a Provincial Improvement Consultant, Doug works in the area of Health System Planning and Reporting, and is the measurement lead for the Emergency Department Waits and Patient Flow Initiative, while also supporting other areas, such as the Clinical Quality Improvement Program. His background is in Biomedical Engineering and he is a graduate of the Advanced Training Program in Health Care Delivery Improvement from Intermountain Healthcare.
Further Resources
Explore past recordings about data:
- Measurement for Improvement Part I – Moving from Theory to Measurement – Learn to use a driver diagram to develop a measurement framework and select measures for your quality improvement activities.
- Displaying Data Effectively – An overview of effective techniques for displaying data – including when to use different types of charts, including run, control, pareto and bar.
- Making your Data Stick – Learn how to apply the principles of effective data presentation and analyze how cognitive biases impact the way we understand and interpret data.