iFraud Deep Dive
Welcome to iFraud Deep Dive, an official podcast series of the iFraud Foundation — where we tackle the toughest issues facing the property and casualty industry in the fight against fraud.
Each episode features in-depth conversations breaking down complex issues into easily consumable information that we can all understand. We explore the fraud landscape, expose emerging threats, and highlight actionable solutions. From staged accidents and collusive networks to litigation abuse and regulatory gaps, we go beyond the headlines to bring you the insights that matter.
Whether you’re a carrier, broker, employer, attorney, or regulator, if you’re committed to protecting the integrity of our industry then this podcast is for you.
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iFraud Deep Dive
S2 E23 Data Busts The WC Claim Denial Myth
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Fresh off the release of the 2025 Annual Report from the New York State Workers’ Compensation Board, this episode of the iFraud Deep Dive examines what the data really tells us about the direction of the system.
The report outlines the Board’s continued push toward digital modernization through the OnBoard initiative—an effort credited with reducing hearing delays and accelerating the resolution of medical disputes. It highlights sector trends, noting that health care and public administration continue to generate the highest claim volumes. Legislative updates expand coverage for work-related stress and increase minimum benefit levels, while the Board emphasizes education efforts and initiatives to attract more medical providers into the program.
But what do these changes mean in practice—for injured workers, employers, carriers, and the broader cost structure of the system?
Are efficiency gains translating into cost containment? How does expanded coverage impact long-term exposure? And where do fraud prevention, medical oversight, and administrative modernization intersect?
On this episode, we break down the numbers, the reforms, and the real-world implications for New York’s workers’ compensation ecosystem.
Let's Dive In.