Clinical decision support adoption is fragmented across healthcare, and varies widely among different health systems, new research from Duke University Health System shows.

End-users often struggle to see artificial intelligence tools' impact directly, often leading them to stop using AI-enabled CDS. 

But hospitals that move away from a static list of implementation rules toward a more dynamic implementation process can improve tool adoption over the long-term, Duke researchers have found.