Evaluation of the effectiveness of an automated sepsis predictive tool on patient outcomes

Mario Schootman1, Cara Wiskow1, Travis Loux2

  • 1SSM Health, Department of Clinical Analytics, 10101 Woodfield Lane, St. Louis, MO 63132, United States of America.

Abstract