Sepsis Webcast Series: Using Data Science, Clinical Informatics, and Quality Improvement to Improve Inpatient Sepsis Recognition
Sepsis is a leading cause of morbidity and mortality in pediatric patients and prompt recognition in the inpatient setting is difficult. Learn how Ann & Robert H. Lurie Children's Hospital of Chicago adapted 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.
1.0 continuing education credits are available with live participation in this session (CNE/CME).