AI Won't Fix Your Revenue Cycle: The Hype, the Reality, and What Actually Works
Everywhere you look, someone is promising an autonomous revenue cycle. AI agents that handle your eligibility, your coding, your prior auths, your denials — all on their own, while your team steps back.
It's a great pitch. It's also years ahead of reality.
In this session, we cut through the noise and get honest about where AI and revenue cycle management actually stand today. We'll break down how AI agents really work like the components under the hood, the layers of RCM they touch, and the tasks they can (and can't) handle. Then we'll show you exactly where the technology breaks: real-world prior authorization, where AI can breeze through a simple therapy or E/M code but falls apart on the complexity of a hospital surgical case.
The takeaway isn't "AI is hype." It's this: AI doesn't fix a broken revenue cycle as it scales whatever you point it at. Drop agents into your operation without trained subject matter experts behind them, and you're not automating a solution. You're automating a disaster, faster.
What you'll walk away with:
A plain-language breakdown of how AI agents actually work — no jargon, no magic
A map of the RCM layers and tasks, and which ones AI can realistically touch today
An honest read on how early we really are with automation in healthcare revenue
The prior authorization reality check: where AI works, where it breaks, and why
A practical, SME-in-the-loop approach to adopting AI without blowing up your revenue
Who should attend:
Physicians, Revenue cycle leaders, practice owners and administrators, billing and coding managers, and anyone being sold on "fully autonomous" RCM who wants to know what's real.
Hosted by Selot Zewdie, MBA at Advanced Healthcare Revenue. A revenue cycle management and practice consulting firm helping practices and health systems get paid what they've earned.