1. Beating Workers’ Compensation Fraud With Technology NCSI 2009 Annual Meeting May 18, 2009 1

2. Agenda Workers Comp fraud overview – Fraud Stats – Types of Fraud – Fraud in the News Current anti-fraud efforts – Fraud Awareness – Fraud Enforcement Tools for fighting WC fraud – WC Fraud Indicators – Red Flags – Industry-wide Databases – Public Records – Data Analytics – Scoring/Predictive Analytics – Premium Audit Model – New tools for fighting WC fraud Legislative Update - Medicare Secondary Payer Reporting 2

3. Workers Compensation Fraud Workers Comp fraud costs $6 billion per year. Coalition Against Insurance Fraud One in three adults in U.S. condone exaggeration of claims. Insurance Research Council Studies show that 10% of P&C claims and 36% of BI claims involve fraud or inflation of otherwise legitimate claim. USAA Magazine 3

4. Workers Compensation Fraud Types Employee/claimant fraud Provider fraud Employer (premium) fraud 4

5. Workers Compensation Fraud Types Claimant fraud – False or exaggerated injury claims – Claims for injuries not received on the job – Collecting benefits while working other jobs – Reduction in workforce results in increased workers comp claims 5

6. Workers Compensation Fraud 6

7. Workers Compensation Fraud Types Provider fraud – Exaggerating treatments for minor injuries – inflating and – billing for treatments not provided 7

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9. Workers Compensation Fraud Types Employer premium fraud – Under-reporting payroll amounts – Misrepresenting job classifications – Misrepresenting employees as independent contractors 9

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13. Industry Anti-Fraud Efforts Fraud awareness Investigation/enforcement 13

14. Fraud Awareness Industry Awareness – Fraud training for adjusters/underwriters – Support for industry-sponsored organizations Public Awareness – Insurers/state funds – Coalition Against Insurance Fraud – NICB – State Fraud Bureaus 14

15. Fraud Enforcement Example: State Fraud Bureau Activity California District Attorneys’ WC Fraud Program Fiscal Year 2006-2007 Summary 549 arrests Prosecuted 1,115 cases with 1,224 suspects 499 convictions Restitution of $24,953,650 ordered; $8,639,562 collected Total chargeable fraud was $260,292,381 15

16. New Tools for Detecting Fraud: Data and Analytics 16

17. Fraud Indicators “Red Flags” Industry-wide Databases Case Management Public Records Tools for Combating WC Fraud Data Analysis & Visualization Scoring/ Predictive Analytics 17

18. WC Fraud Indicators – “Red Flags” 18

19. WC Fraud Indicators – “Red Flags” Claimant Fraud Claimant was a seasonal worker at the time of the injury Injury occurred shortly after hire Notice of Injury occurred after employee was terminated Claimant immediately secured attorney representation Delay in reporting injury to employer No witnesses to injury Claimant has visited multiple medical providers in connection to the injury 19

20. WC Fraud Indicators – “Red Flags” Provider Fraud Treatment regimen is inconsistent with injury severity “Cookie cutter” treatments and billing records High incidence of drug prescriptions Claimant immediately secured attorney representation Delay in reporting injury to employer No witnesses to injury Claimant has visited multiple medical providers in connection to the injury 20

21. WC Fraud Indicators – “Red Flags” Employer (Premium) Fraud Inability to verify tax/unemployment reports Insured refuses or delays access to records for audit Claimants not reported on entity’s unemployment returns Multiple related businesses operating from same address Insured selects a lowest-rated classification for exposure (e.g., oil or gas lease work vs. oil or gas well drilling) Certificates of Ins. issued without corresponding payroll or subcontractor expense High experience modifications with low premium exposure Excessive use of “independent contractor” classification when experience rating Equipment and vehicles not consistent with job classifications 21

22. Industry-Wide Databases Fraudsters are often repeat offenders!! Looking at activity across both insurers and lines of business can add perspective about claimants, providers and employers – Claims activity by employees – Billing activity by medical providers – Policy activity by employers 22

23. What is ISO ClaimSearch? Background ISO ClaimSearch – the first and only all-claims database for the property and casualty industry – helps improve the claims handling process – provides state-of-the-art resources used to fight fraud 23

24. ISO ClaimSearch Database Content Casualty > Workers Compensation > Automobile Liability > Medical Payments > Personal Injury Protection > Auto Medical Payments > Homeowner’s Liability > General Liability > Disability > Personal Injury > Employment Practices > D&O / E&O > Fidelity and Surety Property > Homeowners > Farm Owners > Fire > Allied Lines > Commercial > Ocean Marine > Inland Marine > Burglary and Theft > Credit > Livestock Auto > Theft > Theft Conversions > Shipping & Assembly > Salvage > Impound > Rental Vehicles > Export > Vehicle Claim System > Int’l Salvage &Thefts Volume: Over 602 Million Claims * *11% annual growth rate 24

25. Casualty PropertyAuto Self-Insureds650815 TPAs, IAs, MGAs4802524 Insurers*1,7601,4501,246 State Funds24-- Accident/Disability28-1 Types of Companies The insurance companies represented in this slide are responsible for approximately 94% of the annual DWP in the United States ISO ClaimSearch Membership 25

26. Claims Inquiry † – Single Party and Two Party Searches – OFAC LookUp – IQ Download (New Data Initiative) – AMA Physician Search* – License Plate Reader * † Core Service for Insurance Companies. Optional Service to all others *Restricted to NICB members ISO ClaimSearch Core Services 26

27. New Format for Universal Format Members – Industry-standard red flags Date of hire/termination/lay-off to date of loss (Workers’ Comp.) Day of loss – Monday/Friday; Day after holiday (Workers’ Comp.) ISO ClaimSearch Output – Match Reports 27

28. Public Records External data can help complete the picture! Public records – Individual information – Business information Criminal and Civil records Professional licenses Vehicle records – Registration information – Motor Vehicle Reports (MVRs) 28

29. Data Analysis and Visualization Technology can help make sense of large data sets! Improvements in data storage capabilities Better off-the-shelf and custom software tools Data visualization software 29

30. Data Analysis and Visualization Tools A picture is worth a thousand words! 30

31. Claim Scoring / Predictive Analytics Claim 31

32. Automation of “red flag” rules Scoring of individual claims with industry data Advanced analytic methods to identify fraud patterns – Regression analysis – Social network analysis – Text mining Many WC applications: – Claimant fraud – Medical provider fraud – Employer fraud (including premium audit) Scoring/Predictive Analytics 32

33. Advantages of Predictive Modeling over Rules-based Systems Predictive Modeling can … More efficiently examine more possible predictors Take into account interactions between predictors Give different predictors different relative importance Efficiently examine and use all the historical data available Result in superior predictions! 33

34. Premium Audit Model Development By combining historical audit results with additional data and advanced predictive modeling techniques, an accurate prediction of net AP/RP can be developed for each WC account. Historical Audit Results External Data Resources Expert Insurance Risk Modelers Advanced Analytics Accurate Prediction of Audit Results 34

35. Premium Audit Model Development Example inputs to the model – Comparison of class codes and business SIC – Comparison of payroll size and length of time as a business entity – Comparison of payroll to sales, SIC, and geography – History of large APs for a particular producer – Consistency of accident descriptions and class codes – Hospital beds per capita 35

36. Implementation The Premium Audit model can be used to optimize three operational areas 1) Decide which accounts to audit based on expected additional premium generated (where allowed by state rules) 2) For those accounts that are audited, determine the most efficient allocation of mail, telephone, and physical audits 3) Optimize the order of audits so that the largest premiums due are collected first 36

37. Summary Workers compensation fraud is a continuing problem for companies and society New tools are available to help combat WC fraud of all types Take action now to stop WC Fraud in your organzation 37

38. Legislative Update Medicare Secondary Payer Reporting 38

39. Medicare Secondary Payer – Section 111 Requirements The Medicare Secondary Payer legislation, section 111, requires insurers and self insurers (Responsible Reporting Entities) to report all claims involving Medicare- eligible claimants to the Center for Medicare and Medicaid Services (CMS). Lines of business include Workers Comp, Liability and No-Fault claims, considered “Non-Group Health Plan” (NGHP). Quarterly reporting involves all Medicare-eligible claimants – Recurring payments (WC and no-fault): report at first payment or acceptance of coverage and at end of “ongoing payment responsibility” (ORM) – Single payment liability claims: report only at settlement, judgment or award by Total Payment Obligation to the Claimant (TPOC) date 39

40. Medicare Secondary Payer – Section 111 Registration Overview What is a Responsible Reporting Entity (RRE)? A responsible reporting entity is that company that assumes the risk of paying the insured or claimant medical benefits or compensation for an injury for which the company or their insured is legally obliged to respond What companies are RREs? – Insurers – Self insurers (assume risk for line of business or state) – Companies with self insured retentions under which the company pays the insured or claimant for loss. 40

41. Medicare Secondary Payer – Section 111 ISO Estimated Deliverables Testing on new CMS fields with ISO May, 2009 Assist companies with CMS testing, including Acknowledgments & Rejections and Query file July, 2009 Companies start production reporting and querying to CMS October, 2009 Final production deadline for all January 1, 2010 companies 41

42. Questions? Thank you for your time! John Swedo Vice President Claims – AISG Group of ISO (201) 469-3100 jswedo@iso.com www.iso.com 42