Quality Improvement/Patient Safety
Trainee
Munish Gupta, MD MMSc
Neonatologist
Beth Israel Deaconess Medical Center
Boston, MA, Massachusetts, United States
Alan Picarillo, MD
Neonatologist
Maine medical center
Cape elizabeth, Maine, United States
Michelle-Marie Pena, MD (she/her/hers)
Assistant Professor of Pediatrics
Emory University and Children's Healthcare of Atlanta
Decatur, Georgia, United States
Heather Kaplan, MD, MSCE (she/her/hers)
Professor of Pediatrics
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio, United States
Michael Posencheg, M.D. (he/him/his)
Professor of Clinical Pediatrics
Perelman School of Medicine at the University of Pennsylvania
Newtown Square, Pennsylvania, United States
Workshop
Description: Quality improvement (QI) relies on data and measurement. Using time-series data analysis methods to understand variation in data is critical to guiding QI efforts. Statistical process control (SPC) is widely recognized as an optimal method for QI data analysis, and while it is becoming more widespread in healthcare, its use remains limited. In this workshop, we will provide a practical introduction to SPC and one of its most fundamental tools, run charts. We will begin by using interactive didactics to review the importance of data in QI and show how understanding variation is necessary to drive improvement. We will review run chart theory, and using sample data sets, make and analyze run charts in large and small group exercises. We will explore principles of equity-focused QI and show how stratified run charts can be used to identify inequities and guide improvement efforts. We will finish by showing examples of QI initiatives anchored on run charts. A bibliography, key readings, data sets, and trial SPC software will be provided. Attendees are strongly encouraged to bring their own laptops for the hands-on exercises; participants who are not able to do this will still be able to follow along and participate extensively in the workshop.