Proactive care management of AI-identified at-risk patients decreases preventable admissions.

Objectives: We assessed whether proactive care management for artificial intelligence (AI)-identified at-risk patients reduced preventable emergency department (ED) visits and hospital admissions (HAs).

Study Design: Stepped-wedge cluster randomized design.

Methods: Adults receiving primary care at 48 UCLA Health clinics and determined to be at risk based on a homegrown AI model were included.