Using AI and automation to increase revenue capture and reduce cost-to-collect

Tuesday, July 13th, 2021 | 1:00 PM - 2:00 PM CT


Automation holds tremendous promise for end-to-end revenue cycle optimization. But common approaches that are focused exclusively on rudimentary back-office workflows fall short of delivering transformational financial impact.

By starting at the front-end and automating upstream workflows like insurance verification and prior authorization submission, health systems can significantly reduce downstream denials while improving billing efficiency. Similarly, automating mid-revenue cycle workflows like charge capture and coding optimization can substantially increase overall revenue capture. And with AI, organizations can elevate back-end workflow automation beyond simple tasks like claim statusing to more complex processes like payment posting, credit resolution, and chart scraping to resolve denials.

Join us to learn best practices for using AI and automation across the end-to-end revenue cycle, including success stories from leading health systems.

Attendees will learn:
  • Strategies for automating call center and CBO workflows to reduce downstream denials and streamline denial management
  • Best practices for automating prior authorization submission and statusing to speed up approvals and minimize write-offs
  • Tested approaches for optimizing coding, claim editing, and charge capture
  • How to improve upstream data integrity and increase denial resolution by automating patient outreach and engagement
  • Opportunities for automating challenging and manual back end workflows to save staff time and prevent repeat denials


muthu - Kristelle Khazzaka

Muthu Alagappan

Medical Director, Notable

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Phil LaBella

RCM Solutions Lead, Notable

Notable Logo - Kristelle Khazzaka