Imagining AI: From “What If” to “How Soon” in Healthcare Execution

Monday, March 9, 2026 3:35 PM to 4:05 PM · 30 min. (US/Pacific)

Level 5 | Palazzo D

AI in Healthcare Forum

Information

Healthcare has spent years imagining how AI could reduce denials, relieve workforce strain, and improve financial performance. Yet many initiatives stall at the pilot stage.

This session explores what separates AI adoption from true operational execution. Learn how agentic AI strategies, enterprise-ready infrastructure, and end-to-end automation models are transforming revenue cycle performance and delivering measurable ROI. Through real-world examples, discover how leading organizations are moving from experimentation to scalable, production-ready AI.

Format

Industry Insight

Learning Objective #1

Differentiate between AI insight, point automation, and autonomous execution models in healthcare operations.

Learning Objective #2

Identify the operational and infrastructure gaps that cause AI pilots to fail in production environments.

Learning Objective #3

Evaluate how agentic AI strategies can impact denial prevention, revenue cycle efficiency, and financial performance.

Learning Objective #4

Recognize key indicators that signal readiness for scalable AI execution across enterprise systems.

Session #

AIF-10