Reducing Diagnostic Errors in Critical Care
A major academic medical center deployed our uncertainty-aware clinical decision support system across their ICU and emergency departments, targeting the reduction of missed diagnoses and treatment delays.
The Challenge
High cognitive load on physicians led to a 12% rate of delayed critical diagnoses. Previous AI tools had been abandoned due to alert fatigue and lack of trust.
"For the first time, we have an AI system that tells us when it's uncertain. That honesty changed everything about how we use it."
Chief Medical Informatics Officer