 
        Healthcare Revenue Intelligence: Data-Driven Paths to RCM Excellence Presented by Yoemy Waller
As presented at HBMA's 2025 Fall Conference October 6th-8th, 2025.
Healthcare organizations are losing millions in revenue due to inefficient revenue cycle processes, denied claims, and missed charging opportunities. This executive session cuts through the AI hype to deliver a practical, implementation-focused framework that has generated documented revenue improvements of 20-35% for healthcare organizations nationwide. Through targeted case examples and guided exercises, participants will examine how specific AI applications directly address key revenue cycle pain points, from patient registration through final payment reconciliation.
The session showcases real-world implementations where AI solutions have reduced denial rates by 40%, shortened accounts receivable cycles by 15 days, and generated annual savings exceeding $27 million. Participants will analyze strategic implementation approaches and develop preliminary action plans for their organizations. Through guided exercises, attendees will evaluate their current revenue cycle processes and identify high-impact opportunities for AI implementation.
Learning Objectives
Course participants will be able to:
- Evaluate revenue cycle processes to identify specific opportunities for AI implementation by utilizing a provided assessment framework by the end of the presentation
- Calculate potential ROI for AI initiatives using real-world cost and benefit metrics using their own data.
- Design a preliminary AI implementation roadmap that addresses their organization's unique revenue cycle challenges and establish a path within 3 to 4 weeks.

 
                            



