Podcast Short 1:14 September 15, 2026From Season 2, Episode 8

Why AI Must Shift from Back-End Recovery to Front-End Authorization

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Thomasina Wilkins·Chief Revenue Officer, Sinai Chicago
In this clip

Thomasina Wilkins applies her proactive loss mitigation framework directly to AI: today, AI is primarily implemented on the back end for denials recovery, but it should be doing equal or greater work on the front end. If 12% of claims are being denied through authorizations and the goal is to reach a 4% final denial rate, the intervention cannot wait until after accounts receivable is lost. In her future-state vision, AI will define which areas require authorizations, help strategically obtain them, and monitor referrals and payer authorization systems faster and more accurately than human teams can manage manually.

Key Takeaway

Front-end AI for authorization and referral management is where the largest unmet opportunity in denial prevention sits. Organizations deploying AI only at the back end for recovery are intervening too late. The real leverage is preventing the denial before the claim goes out, not recovering revenue after it is already lost.

“AI should play a key part in front-end recovery as well. You need to ensure that you have those loss prevention mitigations starting at the process and not after you have already lost the accounts receivable.”

Thomasina Wilkins, Chief Revenue Officer, Sinai Chicago

Agentic AIClaims Denial Management
From the full episode

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Thomasina Wilkins
Season 2 · Episode 8 · 39 min

Mission-Driven Revenue Cycle: Denials Prevention, Proactive Loss Mitigation, and Agentic AI at a Safety Net Hospital

Thomasina Wilkins · Chief Revenue Officer, Sinai Chicago

Thomasina Wilkins brings a mission-first framework to claims denial management shaped by more than 25 years of cross-functional revenue cycle leadership across academic medical centers, safety net hospitals, and multi-specialty physician groups. As Chief Revenue Officer at Sinai Chicago, she describes how the proactive loss mitigation philosophy she has developed and shared internationally translates into a denials prevention partnership model that treats every touchpoint in the revenue cycle from scheduling and authorization through clinical documentation and appeals advocacy as a shared organizational responsibility rather than a back-end cleanup problem. The conversation covers how she prioritizes denial categories by return on investment, the distinction between preventable and non-preventable denials as a foundational step in denials management strategy, the importance of recalibrating denial targets every 60 to 90 days as payer behavior and government policy shift, and the unique challenge that medical necessity denials present for mission-driven safety net hospitals that cannot reduce clinical care in order to improve metrics. Thomasina closes with her perspective on agentic AI in the appeals process as the area with the most immediate step-function value, her call for vendors to develop customizable tools that match the specific denial patterns of safety net hospitals and rural facilities, and a leadership principle she returns to throughout: revenue cycle is everyone's responsibility, and lasting improvement requires shared vision across clinical, financial, and operational partners.

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