Overview
- In 2024, 71% of non-federal acute care hospitals reported using predictive AI integrated into EHRs, up from 66% in 2023.
- The divide was pronounced by ownership and location, with 86% of system-affiliated hospitals using predictive AI versus 37% of independents, and usage at 81% in urban settings compared with 56% in rural and about 50% in critical access facilities.
- Hospitals largely relied on EHR vendors for models, with 80% sourcing from their developer; adoption reached roughly 90% among hospitals on the leading EHR compared with about 50% on other systems.
- Operational use cases grew fastest year over year, with billing up 25 percentage points and scheduling up 16, while higher-risk clinical deployments like treatment recommendations remained less common.
- Most hospitals reported formal oversight, including accuracy checks (82%), bias assessments (74%), and post-implementation monitoring (79%), often shared across committees and division leaders.