As AI reshapes healthcare compliance, the risk of biased outputs and opaque decision-making grows. This webcast, led by Frank Cohen, delivers a practical Four-Pillar Governance Framework—Transparency, Accountability, Fairness, and Explainability—to help you govern AI-driven claim auditing with confidence. Learn how to identify and mitigate bias, implement robust human oversight, and document defensible AI review processes that regulators and auditors will accept. Discover concrete remedies, from rotation protocols to uncertainty scoring, and actionable steps to evaluate vendors before contracts are signed. In a regulatory landscape that moves faster than ever, gain the tools to stay compliant, defend your processes, and reduce liability while maintaining operational effectiveness.
$279.00
Are you confident your organization could defend its AI-assisted claim auditing process if regulators or whistleblowers came calling? With 979 qui tam filings last year, government agencies and payers are using their own advanced analytics to spot billing anomalies at scale. Yet many compliance teams are still catching up, facing the impossible choice between moving too slowly and falling behind, or moving too fast and introducing new liabilities. Is your “human-in-the-loop” oversight genuinely protecting you, or simply signing off on risks you can’t yet see?
Frank Cohen will show you how to turn AI governance from a compliance risk into a compliance strength. This webcast introduces the Four-Pillar Governance Framework—Transparency, Accountability, Fairness, and Explainability—and demonstrates how to make each one operational across your compliance, audit, and coding functions. You’ll learn how to detect and mitigate bias, design oversight that actually works, and document defensible AI review processes that stand up to regulators and auditors alike.
With enforcement agencies embracing AI and healthcare regulations lagging behind technology, this discussion couldn’t be more timely. Organizations that fail to establish effective governance are exposing themselves to unnecessary risk—while those that take action now will be audit-ready and defensible when it matters most.
Frank D. Cohen is Senior Director of Analytics and Business Intelligence at VMG Health, LLC, and is Chief Statistician for Advanced Healthcare Analytics. He has served as a testifying expert witness in more than 300 healthcare compliance litigation matters spanning nearly five decades in computational statistics and predictive analytics.
There are no continuing education credits (CEUs) for this product.
| Product SKU | R011326 |
|---|---|
| Product Categories | Webcasts |
| Specialties and Topics | Appeals Strategies, Compliance |
| Webcast Type | Live |
| Live Event Date | January 13, 2026 |
| Live Event Time | 12:30 pm CT |
| Live Event Duration | 60 |
| Expiration Date | January 13, 2027 |
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