WEBINAR | How Enterprise AI Platforms Are Catalysts for Systemic Performance and Patient Outcomes

Avi Sharma, MD, CIIP, Director of AI, Jefferson Health; Leonardo Kayat Bittencourt, MD, PhD, Vice Chair of Innovation, Department of Radiology, UH Cleveland Medical Center; and Tom Valent, Chief Business Officer, Aidoc. In the rapidly evolving landscape of healthcare technology, the solution isn’t always AI — it’s the infrastructure that supports it. While point solutions offer incremental improvements and marketplaces offer choice, an enterprise clinical AI platform represents a fundamental shift in how healthcare organizations can treat the right patients at the right time, optimize clinical workflows, ensure AI performance and redesign care delivery.

This executive-level webinar goes beyond traditional AI discussions, offering a strategic blueprint for C-Suite leaders who are committed to:

• Creating a unified, intelligent AI ecosystem that breaks down data silos and connects disparate clinical workflows
• Driving measurable patient outcomes through AI-driven patient risk stratification
• Ensuring peak performance for all AI deployments across the organization

Participants learn how a true enterprise clinical AI platform can:

• Identify and prioritize the most critical patient cases with unprecedented precision
• Mitigate potential health risks before they escalate
• Ensure clinical team efficiency with native integrations and connected workflows
• Continuously monitor AI performance to account for data changes over time
• Create a scalable, adaptable infrastructure for continuous healthcare innovation

More than just a “to-do” list, in this webinar learn how leading health systems are moving beyond AI point solutions and marketplaces to adopt a true enterprise operating system for clinical care. And why a scalable, governed AI platform—not more AI tools—is the key to unlocking sustainable impact across the enterprise.