Learn how Ann & Robert H. Lurie Children's Hospital of Chicago adopted a data-driven sepsis prediction model and developed clinical decision support tools and workflows to improve sepsis recognition. The team refined tools using quality improvement strategies and simulation in the clinical environment.

Learning Objectives

• Adopt a data-driven sepsis prediction model.
• Describe how a team can work together to implement clinical informatics tools through a quality improvement lens.
• Use common patient safety tools and simulation to refine new tools prior to implementation.
• Apply rapid-cycle quality improvement concepts when launching new tools and processes.