Name
4. Predictive Analytics and AI-Driven Decision Making in Revenue Cycle
Date & Time
Wednesday, October 1, 2025, 3:15 PM - 3:55 PM
Speakers
Michael Laukaitis, MBA, Director of Revenue Cycle Analytics, UT Southwestern Medical Center
Tami McMasters Gomez, Director, Coding and CDI Programs, UC Davis Medical Center
Cindy Otero, Senior Director, Revenue Cycle, NCH Healthcare System
Roxana Lupu, MD, MBA, FACP, Director of Medical Information Officer, Sanford Health
Tami McMasters Gomez, Director, Coding and CDI Programs, UC Davis Medical Center
Cindy Otero, Senior Director, Revenue Cycle, NCH Healthcare System
Roxana Lupu, MD, MBA, FACP, Director of Medical Information Officer, Sanford Health
Description
Predictive analytics and AI are transforming revenue cycle management by enabling smarter, data-driven decision-making. This panel will feature hospital and health system executives discussing how AI-powered tools can enhance forecasting, streamline claims processing, and reduce denials. Attendees will gain insights into leveraging predictive analytics to improve financial performance, optimize workflows, and drive greater operational efficiency.
Location Name
Grand K (East Tower - Ballroom Level)
Session Type
Semi-Keynote Panel