Session Details

Name
[L&L] AI in Motion: Automating the HME Revenue Cycle for Healthier Cash Flow
Track
Business Operations
Date & Time
Tuesday, June 9, 2026, 12:15 PM - 1:00 PM
Location Name
Ballroom C

Learning Objectives

Name
[L&L] AI in Motion: Automating the HME Revenue Cycle for Healthier Cash Flow
Description

The future of HME revenue cycle management is here—automated, intelligent, and built for a patient-first experience. In this session, Noel Tauzin and Jennifer Leon will explore how AI, machine learning, and digital intake solutions are revolutionizing HME operations—from front-end order intake to back-end billing and collections. Discover how HME providers are using automation and predictive analytics to reduce administrative friction, accelerate cash flow, and streamline reimbursement across commercial, government, and patient payers. Learn how smart technologies and global service partnerships are helping teams "do more with less," optimize staffing, and focus more time on what matters most: delivering equipment, support, and care to the patients who rely on it. Join us for practical insights you can apply right away to modernize your revenue cycle and improve both financial and patient outcomes.

Proposed Learning Objective (1)
Identify critical revenue cycle pain points in HME operations that can be addressed through AI and automation.
Proposed Learning Objective (2)
Evaluate real-world use cases where technology accelerates collections and streamlines order intake.
Proposed Learning Objective (3)
Understand how technology can help you improve the patient and caregiver experience.

CEU and CEC

When applicable, the CEU or CEC credits for each accrediting body are displayed below.