How AI Closes the Prior Authorization Gap
Willie Brown, Vice President of Revenue Cycle at Sentara Healthcare, describes how authorization management has become one of the most pressing AI use cases in revenue cycle. Payers have already deployed third-party vendor technology to evaluate authorization requests, creating a technology gap that providers must close. His team is using AI and automation to identify which procedures require authorization, navigate the approval process quickly, and pull clinical documentation directly from the EMR for peer-to-peer reviews. That combination reduces the manual labor that otherwise stalls authorization-related denials across all three phases: knowing what needs auth, getting it approved, and following up on status.
Key Takeaway
Because payers are already using automation to evaluate authorization requests, providers relying entirely on manual workflows face growing speed and accuracy disadvantages. AI that identifies authorization requirements and surfaces clinical documentation at the right moment is what levels that gap.
“You can get an authorization manually. You can do it and do it very well. The question you have to ask yourself is how long is it going to take you.”
Willie Brown, Vice President of Revenue Cycle, Sentara Healthcare
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