Anomaly to Present with The University of Chicago and Availity at HFMA 2025 Annual Conference

June 9, 2025
Anomaly is honored to be presenting at the HFMA 2025 Annual Conference alongside industry leaders from the University of Chicago and Availity. Together, we’ll explore how predictive claim editing and AI-powered solutions are helping healthcare organizations overcome payment barriers and unlock new revenue.

Anomaly to Present with The University of Chicago and Availity at HFMA 2025 Annual Conference

Anomaly is honored to be presenting at the HFMA 2025 Annual Conference alongside industry leaders from the University of Chicago and Availity. Together, we’ll explore how predictive claim editing and AI-powered solutions are helping healthcare organizations overcome payment barriers and unlock new revenue.

Session:

AI solutions in revenue cycle management: How to overcome payment barriers to find new revenue

Location:

HFMA 2025 Annual Conference

Denver, CO

Date & Time:

Tuesday, June 24, 2025
4:10 PM – 5:00 PM (Mountain Time)

Session Overview:

Initial denial rates are at an all-time high, leading to lost revenue and costly rework. As denial trends evolve rapidly, health systems must proactively adapt. In this session, attendees will learn how predictive claim editing—powered by real-time data and AI—enables providers to stay ahead of payer policy changes, prevent denials before they happen, and capture missed revenue opportunities.

Speakers:

  • Mike Desjadon, Chief Executive Officer, Anomaly
  • Sean Barrett, Chief Product Officer, Availity, LLC
  • Bridget Carey, University of Chicago, Revenue Cycle Manager | University of Chicago Faculty Practice
  • Jean Ostrander, RN, MSN, Assistant Director – Pre-AR & Provider Enrollment, University of Chicago Faculty, University of Chicago

Key Learning Objectives:

  • Learn how AI solutions and data models can be used to best position you for success.
  • Gain insights into how machine learning and AI can improve claim accuracy, enhance transparency, and reduce revenue leakage.
  • Review a case study demonstrating the financial and operational impact achieved by UChicago Medicine using Predictive Editing.

Join us in Denver to see how predictive technology is transforming the revenue cycle—and why now is the time to act.