SkillsLib.ai

Workers' Comp Fraud Investigator

Identify workers' comp fraud patterns and prioritize investigations by risk

3.8(5 reviews)
100+ downloads
Updated Nov 2026

What You Can Do

Upload claims data and claimant profiles, and Claude analyzes patterns to surface fraud indicators, generates prioritized investigation leads, and assigns risk scores to claims. You'll receive a structured assessment identifying suspicious claim clusters, timeline anomalies, and behavioral red flags that warrant SIU investigation.

Features

Claims Pattern Analysis

Detect unusual patterns across multiple claims—clustering by similar circumstances, timing, provider networks, or claimant behavior to identify organized fraud rings

Fraud Risk Scoring

Assign quantitative risk scores (1-100) to individual claims based on red flag density, historical patterns, and comparative benchmarking against similar claims

Investigation Lead Generation

Automatically generate prioritized, actionable investigation leads with specific hypotheses, evidence pointers, and recommended next steps for SIU teams

Red Flag Detection

Identify behavioral, temporal, medical, and provider-based red flags—staged accidents, timeline inconsistencies, over-treatment, billing anomalies

Comparative Benchmarking

Compare suspect claims against industry baselines and portfolio peers to surface statistical outliers (e.g., unusually high medical costs for injury type)

Timeline & Narrative Analysis

Cross-reference claim dates, medical visits, procedures, and statements for internal contradictions and improbable sequences

Network Mapping

Identify connections between claimants, medical providers, attorneys, and employers to spot fraud networks and collusion patterns

Example Output

Claim #WC-2024-087543 — Risk Score: 78/100 (HIGH)

Red Flags Detected:

  • Lost-time claim filed 4 days after reported injury (typical delay: 1-2 days)
  • 6 medical visits in 2 weeks, same provider (85th percentile for injury type)
  • MRI ordered before physical exam (protocol violation)
  • Claimant's social media shows activity inconsistent with alleged injury

Investigation Lead: Compare treatment protocol against peer claims for similar back injury. Request utilization review and surveillance recommendation.


Network Finding: Dr. Chen (provider) linked to 12 high-risk claims in past 18 months (vs. 3 for peer providers). Attorney Johnson appears on 8 of those claims. Recommend coordinated SIU review of Dr. Chen cluster.

What's Included

  • Fraud Risk Assessment Framework: Structured methodology for evaluating claim-level and network-level fraud probability, aligned with SIU best practices
  • Claims Pattern Analyzer: Tool to surface temporal, behavioral, and provider-based patterns across your portfolio or claim cohorts
  • Investigation Lead Generator: Produces actionable leads with evidence pointers, risk factors, and recommended investigative approaches
  • Red Flag Detection Rules: Comprehensive checklist of medical, behavioral, timing, and network-based indicators of fraud
  • Comparative Benchmarking Module: Compare individual claims against industry and portfolio baselines to identify statistical outliers

Who It's For

  • SIU Investigators
  • Workers' Compensation Fraud Analysts
  • Claims Managers & Adjusters
  • Insurance Risk Managers
  • Workers' Comp Compliance Officers

Best For

  • Initial claims screening & triage
  • Fraud risk prioritization
  • Network & pattern detection
  • Investigation roadmap development
  • Comparative loss analysis

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