FWA stands for fraud, waste and abuse: the three ways money is lost in health insurance claims. This guide explains each one with examples, how they differ, and how insurers and TPAs find them.
Medically reviewed by Dr. N. S. Santosh Varma, MBBS, FIIM, FIDM, FICCM · Written by the YIRA MedSense team · Updated 27 October 2026
| Type | What it means | Examples |
|---|---|---|
| Fraud | Intentional deception to obtain payment | Billing for services not provided, recycled or altered documents, a different person treated under a member's policy |
| Waste | Overuse or unnecessary cost, without intent to deceive | Unnecessary tests, longer stays than needed, duplicate investigations |
| Abuse | Practices that lead to improper payment, without clear proof of intent | Upcoding to a higher-priced procedure, billing above the agreed tariff, unbundling package charges |
FWA raises the cost of cover for every member and employer. It also slows down honest claims, because claims teams spend time checking suspicious ones. Insurers, TPAs and regulators in most markets run FWA programmes to find and reduce it.
A flag is a reason to review, not proof of fraud.
YIRA MedSense adds the document-level checks: it reads medical documents into structured data, compares each new document with prior records, checks the ID photo against the hospital photo and structures hospital tariffs for bill checks. Across insurance operations it has flagged more than 5,000 cases for review. See health insurance fraud detection →
FWA stands for fraud, waste and abuse, the three ways money is lost in health insurance claims.
Fraud is intentional deception to obtain payment. Abuse is a practice that leads to improper payment, such as upcoding or billing above the agreed tariff, where intent is not clearly proven.
No. Waste is overuse or unnecessary cost, such as unneeded tests, without any intent to deceive.
With rules on claim fields, analytics that compare providers and members, document-level checks on medical records and bills, and investigation by a special investigation unit.
AI helps by reading claim documents at scale, matching new documents with prior records and checking identity, then flagging cases for investigators. People still decide whether FWA occurred.
See MedSense on the documents and fields that matter to your claims team.