Open access
Jul 2026
Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection
This study evaluates the context for clinical decision support (CDS) deployment and identifies design preferences, which will inform the design of an AI-based CDS tool for autism detection, providing workflow-informed integration points and user preferences.
Adesuwa Emovon, Lauren P. Driggers-Jones, Matthew M. Engelhard et al.
· JAMIA Open · 0 citations