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