This project aims to
(1) develop and test a predictive model identifying emerging sepsis using artificial intelligence and machine learning, and (2) translate model-based learnings into improved operational criteria and a proposal to pilot the new identification method.
This project leverages in-hospital and ambulatory data from the Sutter Health electronic health record.
Greathouse Family Foundation/Sutter Philanthropy
Antimicrobial Resistant E. coli Before and After California Senate Bill 27 (ARES): A Natural Experiment
Investigator: Alice R. Pressman, Ph.D., M.S.