Stanford Medicine embarked on a mission to bridge the gap in utilizing machine-learning (ML) models for enhancing care delivery. They focused on three fundamental challenges within the health system:
This case study serves as a real-world example of the initial stages of implementing AI in care delivery. Specifically, the focus was on predicting clinical deterioration to minimize unplanned transfers to the intensive care unit (ICU). We’ll delve into the application of design principles to the health system, discuss the obstacles faced, as well as the factors that facilitated progress. These experiences show a collaborative strategy for harnessing AI to enhance patient outcomes and safety.