Source: The Next Web
The article identifies a gap between AI capability and clinical utility: hospitals have more data than they can act on, and AI tools often add to the pile rather than filter it. Until systems are designed around clinician workflows and cognitive load—not just predictive accuracy—adoption will stall and productivity gains won't arrive. Vendors who reduce noise, not those who add another data layer, gain the edge.