Webinar
Get paid faster with AI-driven denial prediction
Denials are rising, and practices and billing teams are spending more time reworking claims after revenue is already at risk. In this session, Tebra experts share how AI can help you identify higher-risk claims earlier, understand likely denial drivers, and focus your team’s efforts where intervention matters most. Whether you manage billing in-house or partner with a billing company, you’ll learn how to shift from reactive tracking to proactive prevention. Plus, get a look at Tebra’s new AI Billing Assistant.
Speakers
Sarah Ford
Director of Account Management, Tebra
Sarah is a medical billing operations and revenue cycle management expert who helps billing companies optimize workflows, improve efficiency, and strengthen claim approval performance.
Laura Araya Fernandez
Senior Product Manager, Tebra
Laura focuses on front-office and mid-cycle revenue cycle management workflows, helping practices improve efficiency and navigate industry complexity.
Highlights
- Understand what is driving the rise in claim denials
- Use AI to support billing teams without removing human oversight
- Identify denial risk earlier and improve clean claim performance
- See how Tebra’s AI Billing Assistant flags risk, explains likely causes, and helps teams prioritize the right claims