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).
Upon completion of this educational activity, participants will be able to:
- Adapt a data-driven sepsis prediction model to their institution’s patient population.
- Describe how a team can work together to implement clinical informatics tools through a quality improvement lens.
- Use common patient safety tools and in situ simulation to refine new tools prior to implementation.
- Apply rapid-cycle quality improvement concepts when launching new tools and processes.
Ann & Robert H. Lurie Children's Hospital Presenters:
Jeremy Hoge, Senior Clinical Informatics Consultant
Jillian Rojas, M.S., RN, NE-BC, Director, Patient Care Operations
Kate Lucey, M.D., M.S., Attending Physician, Hospital-Based Medicine
L. Nelson Sanchez-Pinto, M.D., M.B.I., FAMIA, Assistant Professor of Pediatrics (Critical Care)
Rebecca Stephen, M.D., M.S., Attending Physician, Institutional Physician Lead IPSO