Workers' Comp Fraud Analyzer
Systematically identify workers' comp fraud red flags and inconsistencies
What You Can Do
Analyze claim narratives, medical records, and surveillance data to uncover fraud indicators and contradictions across all evidence sources. The fraud analyzer cross-references claimant statements against medical documentation and observation data to build evidence maps highlighting priority investigation leads. You receive investigation-ready reports with confidence scores, timeline reconstructions, and ranked findings ready for further human review.
Features
Extract and systematically analyze written statements and transcribed interviews for linguistic inconsistencies, evasive language patterns, and fraud indicators common in workers' comp schemes.
Scan medical documentation for suspicious patterns including minimal clinical findings that contradict reported severity, imaging results inconsistent with symptoms, and treatment progression that doesn't match injury claims.
Map contradictions across claimant statements, medical records, and surveillance observations with direct citations, highlighting severity mismatches and timeline impossibilities.
Build chronological timelines showing when injury severity claims begin diverging from medical findings and surveillance observations, pinpointing the earliest signs of inconsistency.
Match detailed surveillance descriptions against claimant mobility and activity restrictions, identifying specific contradictions between observed behavior and reported functional limitations.
Generate evidence-based fraud likelihood assessments (e.g., 85% confidence) for each finding, prioritizing high-confidence contradictions for investigator follow-up.
Identify fraud patterns and repeat behaviors when analyzing multiple claims from the same claimant, revealing serial fraud schemes versus isolated inconsistencies.
Produce professional reports with ranked findings, supporting evidence citations, and recommended investigation priorities suitable for legal proceedings and claim decisions.
Example Output
Claim #WC-2024-05847 - Critical Red Flag
Finding: Claimant mobility contradiction
- Claimant statement: "Completely unable to walk since injury date"
- Medical exam (day 1): "Patient demonstrates good range of motion; minimal objective findings"
- Surveillance (day 7): "Subject observed jogging in park for 30+ seconds" Inconsistency Level: Critical (92% confidence) Recommended Action: Priority investigation — obtain full surveillance analysis
Timeline Contradiction - Claim #WC-2024-05820
| Event | Date | Finding | Contradiction |
|---|---|---|---|
| Injury reported | 4/10 | Severe acute injury | — |
| ER visit | 4/11 | Minimal exam findings | Severity doesn't match claim |
| MRI imaging | 4/13 | No acute findings | No clinical basis for disability |
| Surveillance | 4/14 | Jogging observed | Contradicts "unable to walk" claim |
| PT eval | 4/16 | Good ROM demonstrated | Evidence contradicts ongoing disability |
| Assessment: Medical documentation and surveillance suggest significantly overstated functional limitations |
Cross-Claim Pattern - Claimant: Sarah Johnson (3 claims, 2022-2024)
- Pattern: Initial claim of complete disability → surveillance shows normal activity week 2 → benefits approved despite contradictions
- Frequency: 100% of claims (3/3) show identical fraud signature
- Risk Level: Very High — serial fraud behavior detected
- Recommendation: Flag for special investigation unit; consider refer to law enforcement
What's Included
- Narrative Extraction Engine: Processes written claim statements and transcribed interviews to identify inconsistencies, suspicious language patterns, and contradictions with other documentation.
- Medical Record Scanner: Analyzes physician notes, imaging results, lab reports, and specialist evaluations to flag findings that contradict reported injury severity and functional limitations.
- Contradiction Mapper: Cross-references all evidence sources (statements, medical records, surveillance) with direct citations and creates detailed inconsistency reports organized by priority level.
- Timeline Builder: Constructs chronological evidence timelines showing when contradictions emerge between claimant reports and documented observations, revealing fraud progression.
- Surveillance Integration Module: Correlates detailed surveillance descriptions (activities, mobility, restrictions observed) with claimant statements about functional limitations and restrictions.
- Investigation Priority Ranker: Scores all findings by confidence level and fraud severity, producing a ranked investigation queue with recommended next steps for each lead.
Who It's For
- Insurance Fraud Investigators
- Workers' Compensation Claims Adjusters
- Workers' Comp Defense Attorneys
- Risk Managers and Compliance Officers
- Surveillance Specialists and Case Managers
Best For
- High-severity injury claims where fraud risk is elevated
- Claims with delayed or minimal medical findings contradicting reported disability
- Claimants with prior fraud history or repeat claim patterns
- Cases where surveillance observations contradict claimant activity restrictions
- Medical record contradictions and treatment progression analysis
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