Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

Understand

Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights.

• While effective in lab settings, almost all DSTs have failed in practice.
• Empirical research diagnosed poor contextual fit as the cause.
• This paper describes the design and field evaluation of a radically new form of DST.