Most health systems have experimented with AI. Far fewer have scaled it. The gap between a successful pilot and enterprise-wide clinical impact is not primarily a technology problem — it is a culture, governance, and workflow integration challenge.

In this session, Nader Mherabi, EVP, Vice Dean, Chief Digital and Information Officer at NYU Langone, will join technology leaders Romina Hipolito, Aaron Dinwiddie, and Dan Schneider to share how NYU Langone is scaling AI to improve patient safety, quality and experience. They will discuss the organization's rapid growth in AI models, the cultural transformation required to embed AI into clinical workflows, and how strategic partnerships provided the infrastructure foundation to accelerate research and move models from pilot to production faster.

Key discussion points include:

– How NYU Langone is using AI at the point of care to drive measurable improvements in patient safety, quality and experience.

– The cultural change, clinical engagement, and data governance strategies that enabled rapid scaling of AI models across the organization.

– Why strategic technology partnerships were essential to accelerating research and expanding AI from pilot to enterprise deployment.

– Building a sustainable AI program that improves patient outcomes, enhances staff well-being, and delivers demonstrable financial returns.