Meeting
Abstract Number: 232
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of mortality among hospitalized patients. Early detection and intervention reduces sepsis-related mortality. We implemented a novel early warning system (EWS 2.0) based on a machine-learning algorithm to prospectively identify patients with increased risk of severe sepsis or septic shock. Validation suggested excellent predictive characteristics, including a positive likelihood ratio […]