Meeting
Abstract Number: 231
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: Sepsis is a leading cause of death among hospitalized patients. Early detection of sepsis has the potential to reduce mortality by facilitating timely evidence-based interventions. Past studies have used electronic health records (EHR) to trigger alerts at the onset of sepsis, or to predict general clinical deterioration. In this study we describe the impact […]
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 […]