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🚨 '''Fraud, waste, and abuse''' refers to a spectrum of improper activities that drain financial resources from [[Definition:Insurance carrier | insurance carriers]], [[Definition:Self-insured retention | self-insured entities]], and public insurance programs. In the insurance context, fraud involves intentional deception — such as staged accidents, inflated [[Definition:Insurance claim | claims]], or falsified applications — while waste describes inefficient practices that increase costs without delivering value, and abuse covers actions that, though not overtly illegal, exploit gray areas in [[Definition:Insurance policy | policy]] language or billing codes. Together, these behaviors cost the U.S. insurance industry tens of billions of dollars annually and ultimately drive up [[Definition:Insurance premium | premiums]] for all policyholders.

🔍 Detection and prevention rely on layered controls that span the [[Definition:Insurance value chain | insurance value chain]]. At the front end, [[Definition:Underwriting | underwriting]] teams use identity verification, application cross-checks, and [[Definition:Predictive analytics | predictive analytics]] to flag suspicious submissions before a [[Definition:Insurance policy | policy]] is even bound. On the [[Definition:Claims management | claims]] side, [[Definition:Special investigation unit (SIU) | special investigation units]] combine human expertise with [[Definition:Artificial intelligence (AI) | AI]]-driven anomaly detection to identify patterns — such as unusually frequent [[Definition:Loss | losses]] from a single provider network or [[Definition:Claimant | claimant]] — that warrant deeper scrutiny. [[Definition:Health insurance | Health insurers]] and [[Definition:Workers' compensation insurance | workers' compensation]] carriers face particularly acute exposure to waste and abuse in medical billing, making automated code-auditing tools and [[Definition:Third-party administrator (TPA) | third-party administrator]] oversight essential components of any robust program.

💰 The financial stakes extend well beyond the direct cost of fraudulent payouts. Unchecked fraud, waste, and abuse erode an insurer's [[Definition:Loss ratio (L/R) | loss ratio]], weaken [[Definition:Reserve (insurance) | reserve]] accuracy, and can trigger [[Definition:Regulatory compliance | regulatory]] sanctions if systemic failures are uncovered during examinations. For [[Definition:Insurtech | insurtech]] companies, building sophisticated anti-fraud capabilities into their platforms from the outset has become a competitive differentiator and a prerequisite for earning the trust of capacity providers and [[Definition:Reinsurance | reinsurers]]. Increasingly, industry coalitions and data-sharing initiatives — such as the [[Definition:National Insurance Crime Bureau (NICB) | National Insurance Crime Bureau]] in the United States — allow carriers to pool intelligence, making it harder for bad actors to exploit information silos between companies.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Special investigation unit (SIU)]]
* [[Definition:Claims management]]
* [[Definition:Predictive analytics]]
* [[Definition:Subrogation]]
* [[Definition:National Insurance Crime Bureau (NICB)]]
* [[Definition:Medical loss ratio (MLR)]]
{{Div col end}}

Definition:Fraud, waste, and abuse - Revision history

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