Reimagining Risk and Quality for Payers
Register to view
Fill in the form below to watch the video.
About this recording
The payer landscape is entering a new era. Rising costs, declining ratings, and growing compliance demands have revealed the limits of fragmented point solutions. What payers need now is not another fix, but one connected platform.
Join us as we unveil a unified AI platform built for payers. By integrating risk adjustment and quality management into a single data model, health plans to drive measurable improvements in risk accuracy, Star ratings, HEDIS outcomes, and operational efficiency.
What you'll take away
- The state of payer challenges today: why rising costs, compliance demands, and quality expectations are outpacing current systems.
- How an AI-powered, end-to-end risk workflow supports accurate risk capture, compliant documentation, and audit readiness.
- What proactive quality management looks like: closing gaps across multiple touchpoints to lift Star Ratings and strengthen HEDIS performance.
- Real-world case examples showcasing measurable ROI: from reduced administrative burden to improved ratings and greater operational efficiency.
Who you'll hear from
Anil Jain
Innovaccer
Chief Innovation Officer
Michelle Zilisch
Innovaccer
Vice President - Product
Rich Fox
Payer Sales, Innovaccer
General Manager
Launching Autonomous RCM for Faster Payments
AI-powered autonomous RCM that closes the payer-provider gap - 80% auto-coded encounters, 93% faster prior auths, and 90%+ cash collection. Built on decades of operational expertise.
AI Powered Payer
AI in payer operations has moved from pilot to priority—and the next wave is agentic. Join Innovaccer and AWS on May 20 to explore real-world applications across prior authorization, clinical management, and cost containment.
Rethink Revenue Cycle: From Cost to Margin Engine
Revenue cycle is evolving into an AI-driven operating model that improves margin predictability. Learn how leading organizations prevent leakage, reduce variability, and scale efficiently through automation and administrative autonomy.