Healthcare doesn’t have an AI problem. It has an execution problem. Across health systems, AI care pathways are delivering results. Evidence exists. Adoption is accelerating. Yet, many patients are still diagnosed late, lost between encounters, or delayed by fragmented workflows.
As health systems scale AI, the limiting factor is no longer model performance, it’s operationalizing AI across clinical workflows, governance structures and existing systems to help patients move reliably from identification to completed care.
Drawing on insights from the Health Leader Vizionaries Summit, this report explores how leading organizations are addressing these realities to reduce variation and leverage AI to drive consistent, system-wide impact.
