Fraud, Waste, and Abuse Detection and Prevention
Fraud, Waste, and Abuse Detection and Prevention tests your ability to distinguish intent, recognize schemes, use data signals, and build controls that prevent recurrence.
Core rules
- Fraud is intentional deception or misrepresentation that may result in unauthorized benefit. Waste is misuse of resources that creates unnecessary cost, often from poor systems, without intent. Abuse is conduct inconsistent with sound business or medical practice that causes unnecessary cost or payment, without necessarily proving intent.
- Common schemes include upcoding, unbundling, billing for services not rendered, duplicate claims, impossible encounters, modifier misuse, kickbacks, and identity theft.
- Detection uses outlier analytics, peer comparison, denial trends, complaint hotlines, random audits, and review of high-risk codes or providers. A data outlier is a prompt for review, not proof.
- Prevention uses written policies, training, prebill and postbill audits, exclusion screening, claim-edit monitoring, and a nonretaliatory reporting process.
Worked example
Analytics show one provider billed 99215 on 78% of established-patient visits, versus a peer median of 15%, with repeated one-line notes. The auditor samples records and finds no MDM or time support. The finding is a documentation and coding compliance problem. Fraud is not established unless the investigation shows knowing conduct; the auditor preserves records, avoids confrontation, and refers through the compliance escalation policy.
Traps
- Treating a coding error as fraud without evidence of intent.
- Relying on a single outlier claim rather than a pattern.
- Investigating without preserving the original record and audit trail.
- Ignoring underpayments and denied services while chasing overpayments.
- Retaliating against a reporter or failing to document the investigation.