AI is advancing rapidly across healthcare, but scale without trust can weaken clinical judgment rather than strengthen it.
Health systems are being flooded with AI tools promising efficiency, margin improvement and relief from clinician burnout. Early adopters are already reporting progress, including reduced documentation burden and improved staff satisfaction.
Still, many leaders face a difficult question: What does human-centric AI actually look like in practice?
In this live panel discussion, chief informatics and technology leaders from Cedars-Sinai, Vituity, Sayvant, and more will examine how AI can elevate — not dilute — clinical decision-making.
This conversation will focus on the operational realities leaders face today, including:
- How health systems are developing governance frameworks to guide responsible AI adoption
- Strategies organizations are using to scale AI while maintaining clinician trust and oversight
- How leaders are measuring outcomes and impact while keeping clinicians at the center of care
