AI-Driven Revenue Cycle: Boost Margins & Efficiency — Innovaccer
Rethink Revenue Cycle: From Cost to Margin Engine
May 5, 2026 | 2:00 pm – 3:00 pm CDT62 min
About this recording
A new operating model — not a new tool. Agentic AI doesn't just automate tasks. It creates an intelligence layer that compounds across every workflow — so every denial, delay, and coding outcome makes the entire system smarter.
Upstream Prevention Over Downstream Recovery: High-autonomy organizations treat prior authorization, eligibility, and documentation readiness as denial prevention — not administrative steps before billing.
Factory-Grade Execution with Clinical-Grade Controls: Predictable, traceable, auditable workflows that don't depend on individual staff knowledge. Autonomy at scale requires control frameworks that boards and compliance teams can trust.
Platform Compounding — Not Point Solutions: When workflow data and AI knowledge operate on a unified foundation, improvements in one area automatically propagate across service lines, sites, and payers. That's the difference between a platform and a collection of tools.
What you'll take away
- Why the traditional RCM model is structurally broken and how autonomous AI creates a compounding intelligence layer across every workflow.
- How leading organizations shift from downstream denial recovery to upstream prevention through prior auth, eligibility, and documentation readiness.
- What factory-grade execution with clinical-grade controls looks like: predictable, traceable, auditable workflows at scale.
- The platform advantage: how a unified data foundation propagates improvements automatically across service lines, sites, and payers.
Who you'll hear from
Dr David Nace
Innovaccer
Chief Medical Officer
Patrick Leonpacher
Innovaccer
Senior Vice President - Product
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