The healthcare industry is at a turning point: payers and providers alike are demanding more from payment integrity than opaque rules engines and audit surprises. While black-box vendors have long promised value, their lack of transparency can lead to costly misalignment, internal dependency, and missed opportunities for learning and waste prevention.
This session will explore the hidden costs of opacity in traditional payment integrity models and offer a modern alternative. We’ll examine how health plans can reclaim ownership of their payment integrity strategy by shifting to AI-powered platforms to empower internal audit teams (0-pass) phase, promote internal learning, reduce overdependence on black-box vendors, and align audit logic with clinical evidence.
Attendees will learn how connecting prior authorization and claims data earlier in the care lifecycle can help identify root issues before they become payment errors. Beyond preventing waste, this approach can strengthen provider relationships, improve internal capabilities, and ultimately drive more proactive, accurate decision-making.
Using real-world insights, we’ll show how a collaborative, clinical intelligence-driven model can give payers a sustainable edge in accuracy, agility, and provider trust.