Most health systems can launch an AI pilot. Far fewer turn that early momentum into measurable, organization wide results.
The first months after deployment are where it's decided. Measurement choices, workflow friction and change management either embed AI into daily work or let enthusiasm quietly fade.
This session brings candid lessons from leaders who have lived the "now what" phase of AI. They will share the signals that actually matter in the early months, the friction points no one warns you about and the governance moves that keep patient care and staff experience front and center.
You will hear from executives at different stages of their AI journey on how they assessed early performance, course-corrected without disrupting operations and built a roadmap for sustainable expansion.
Learnings include:
- Early indicators that your deployment is working, and what to do when it is not
- Where value commonly leaks after go-live, and how to close the gaps before they worsen
- Practical tactics to drive staff adoption and reduce pushback on busy units
- How to build feedback loops that turn quick wins into a scalable, governed roadmap
