Winning the reimbursement battle: Where AI can help and what still needs a human

Every billing team is being told AI will fix reimbursement. Fewer denials, faster payments, less manual work. Some of that is true. Some of it isn't the whole story.

In this webinar, we'll separate what AI is actually good at catching before a claim goes out from what still depends on a person, a judgment call, or a real payer relationship. We'll walk through the KPIs that tell you the true health of your RCM operation, how those benchmarks shift once AI is layered into the workflow, and where trust in automation tends to take longer to build than the automation itself.

You'll learn:

• How payer behavior has shifted in recent years, and why it's making reimbursement harder for practices
• The KPIs that actually tell you the health of your RCM operation, from clean claim rate to days in AR
• What "average" performance looks like across those KPIs, and how it changes with AI-driven prevention
• The specific patterns AI is good at catching before a claim is submitted
• What still needs a phone call, a judgment call, or a person on the other end of a payer relationship