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Health Insurance Fraud Focus Group

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Presentation on theme: "Health Insurance Fraud Focus Group"— Presentation transcript:

1 Health Insurance Fraud Focus Group
Matthew Michael Head of Fraud March 2015

2 Health Insurance Fraud Focus Group
Agenda About Veda Veda’s Fraud Insights Health Insurance Fraud Focus Group Veda’s Fraud & Identity Solutions Proof Of Concept Health Insurance Fraud Focus Group

3 About Veda

4 At Veda, data is our business. It’s at the heart of what we do
About Veda At Veda, data is our business. It’s at the heart of what we do We are passionate about accumulating and transforming data into meaningful insights to empower our customers to make great decisions. Veda is a data analytics company and the leading provider of credit information and analysis in Australia and New Zealand. The intelligence provided by Veda helps customers make decisions on credit risk, verify identity and employee backgrounds, reduce identity theft and fraud, and undertake digital marketing strategies. Veda is built on the largest, most comprehensive and current data source in Australia and New Zealand with information on over 20 million credit active people and 5.7 million commercial entities. Health Insurance Fraud Focus Group

5 Veda’s Business Enabling customers to improve their decision making
Veda proprietary/exclusive data sources Credit information on 20 million individuals 70 million updates on individuals per annum 46 years of historical data and 5 years of enquiry data Credit information on over 5.7 million commercial organisations Inivio consumer insights library 2.7 million records in tenancy database Insurance claims database 5 years worth of defaults from hundreds of businesses Proprietary data assets Intellectual property and data management Products and delivery channels Customer focus Products and solutions Embedded portals and customer links >12,500 business customers Public data sources Land titles and property information database Personal Property Securities Register in Australia Largest repository and reseller of ASIC information Comprehensive court judgment default collection >450,000 consumer customers Products and solutions Embedded portals and customer links Data collection and storage Data cleansing Algorithms Matching Marketing Data & Analytics Public data sources Privacy compliant data partners Strategic Partnerships Predictive Modelling and Segmentation >14m consumer audience >2.2m business audience Attractive combination of data assets built up over a 47 year history Powerful intellectual property/analytics Embedded delivery systems and long-term customer relationships Health Insurance Fraud Focus Group

6 Commercial Risk & Information Services
Business Overview Consumer Credit Risk: credit bureau business that provides consumer credit reports & analytics to assess, monitor and manage credit risk Fraud & Identity Solutions: helps validate identities and detect fraud Decisioning & Scoring: assists customers in making credit decisions based on an applicant’s risk profile. Collection Services: assists customers to segment and optimise debtors to improve receivables management Verify: provides an employee verification service for employees Consumer Risk & Identity Commercial Credit Risk: provides credit reports, payment behaviour and ongoing credit monitoring for lending purposes and assessing supplier risk. Commercial & Property Solutions: the access of third party data sources from ASIC, ITSA and Property registers. Commercial Risk & Information Services Health Insurance Fraud Focus Group

7 Business Overview Business-2-Consumer Marketing Services
Your Credit & Identity: providing consumers with access to their personal credit information and VedaScore as well as the ability to receive updates to their credit profile when changes are made. Secure Sentinel: Helping consumers protect themselves against identity theft and assisting them in recovering their lost or stolen items. Car History: providing the history of a used car for consumers and car dealers. Highlights if a vehicle has finance owing, is stolen, written off, or has had the odometer rolled back. National Tenancy Database: tenancy verification and identification service Business-2-Consumer Inivio provides marketers with a range of services, tools and capabilities that maximise their marketing effectiveness. Helping them to target their most valued customers across all their marketing channels, when they are most open to an offer Smart data driven marketing - turning data into actionable insights. Offering a range of data services including data warehousing, web analytics, and media attribution in the development of smart data driven campaigns. Marketing Services Health Insurance Fraud Focus Group

8 International Footprint
With global Comprehensive Credit Reporting (CCR) experience Home Markets UK: International CR consulting experience in partnership with IRP (International Risk Partnership) Australia New Zealand Existing Int’l Markets Singapore Malaysia Cambodia Saudi Arabia Myanmar Cambodia Saudi Arabia Sri Lanka Malaysia Singapore Indonesia Markets in Development NZ: Veda is live with CR data in NZ Sri Lanka Indonesia Myanmar Australia AU: Extensive CR Pilot study with 10 lenders to model & simulate impacts New Zealand Health Insurance Fraud Focus Group

9 Veda’s Fraud Insights

10 What is fraud? How is it defined? • Any conduct where an individual is obtaining or attempting to obtain an advantage from a service provider by any statement, omission, promise or conduct that is (deliberately or recklessly) misleading, false or deceptive; or • Reasonable suspicion that an individual is obtaining or attempting to obtain an advantage from a service provider by any statement, omission, promise or conduct that is (deliberately or recklessly) misleading, false or deceptive; or • Suspected activity involving any form of identity theft or attempted identity theft or misrepresentation of identity or any other matters; or • Fraudulently evading or attempting to evade obligations to a service provider by any statement, omission, promise or conduct that is (deliberately or recklessly) misleading, false or deceptive. Health Insurance Fraud Focus Group

11 Fraud In The Health Sector
Australian Medicare fraud revealed in new figures 7 Mar 2014 The Department of Human Services says its hotline has received 1,116 Medicare-related tip-offs since July 1, Officers have investigated 275 cases, which has translated into 34 cases submitted to the Commonwealth Department of Public Prosecutions and 12 convictions. The value of those 12 cases adds up to an estimated $474,000, with fraudsters ripping off an average of almost $40,000 each. Other cases uncovered by the ABC include: Former police officer Matthew James Bunning has been charged with 146 Medicare frauds between 2011 and Investigators allege the 46-year-old removed Medicare slips from rubbish bins behind Medicare offices around Melbourne to produce forged receipts and illegally claimed more than $98,000 from the Government. In January last year Korean student Myung Ho Choi was sentenced in a NSW district court to five years in prison for a series of fraud and identity theft charges that included receiving at least five paper boxes filled with blank Medicare cards intended for use in identity fraud. In August last year NSW man Bin Li was sentenced in district court to seven years in prison for charges that included possessing almost 400 blank cards, including high quality Medicare cards, and machines for embossing cards. Nilay Patel, a former US-based certified specialist in healthcare compliance and law tutor at Swinburne University of Technology, says the fraud figures are the "tip of the iceberg". He says Australia is falling behind the United States at preventing, detecting and prosecuting healthcare frauds. "The safeguards [in Australia] are quite inadequate, the detection is more reactive that proactive and whatever proactive mechanisms that are there I think they are woefully underdeveloped," he said. … DHS received 1,116 Medicare-related tip-offs .... investigated 275 cases …. 34 cases submitted to the DPP …. 12 convictions …. value of an estimated $474,000 …. fraudsters ripping off an average $40,000 each. Health Insurance Fraud Focus Group

12 Fraud & identity theft - the numbers tell the story
Market trends in Australia $1.4B $ $ $ 27% $ $ $ $ $ $ $ $ Credit application fraud highest level since 2009 increase in 12 months from Estimated annual fraud loss by Australian businesses 2007 2013 103% 26% 89% Percentage of identity fraud using stolen identities Percentage of identity fraud using stolen identities Rise in use of identity takeover Health Insurance Fraud Focus Group

13 Identity Takeover Breakdown
Drivers Licences and Personal Information continue to be the primary pieces of information used in identity takeover cases Health Insurance Fraud Focus Group

14 Fraud In The Health Sector
Hacking & cybercrime are an ever present danger Health Insurance Fraud Focus Group

15 ThreatMetrix Cybercrime Report
The report is based on actual cybercrime attacks detected by the ThreatMetrix Global Trust Intelligence Network The report provides a front-line view of the global war against cybercriminals during real-time evaluation of payments, logins and registration attempts The data used draws upon a sample of one billion transactions analysed by the network and provides a representative summary of activity from Q Health Insurance Fraud Focus Group

16 Attacks as a Percentage of Total Transactions
Organised Cybercrime relies on exploiting anonymity and avoiding prosecution. Device Spoofing and IP spoofing are at the top of the list: hackers don’t want fingerprints left behind MiTB and Bots score lowest in attack percentages but are most malevolent attacks Health Insurance Fraud Focus Group

17 Transaction Types and Related Attacks
57% Health Insurance Fraud Focus Group

18 Mobile vs. Desktop by Transaction
By Transaction Type Mobile device-based commerce represented 25% of all transactions and is growing Mobile payments also accelerating Health Insurance Fraud Focus Group

19 Mobile vs. Desktop Attacks
By Transaction Type Mobile Account Creation represents a disproportionately large share of transactions (40%) and attacks (5.2%) Health Insurance Fraud Focus Group

20 Mobile Transactions and Attacks
iOS generates nearly twice the number of payments, logins and authentications of the other mobile operating systems combine Health Insurance Fraud Focus Group

21 Health Insurance Fraud Focus Group

22 Health Insurance Fraud Discussion
Summary of Attendees As a result of Veda’s experience with fraud detection services, discussions were held with a number of health insurance providers The first Health Fraud Focus Group Forum was held on 9 October 2014 at the Veda’s office’s in North Sydney The second Health Fraud Focus Group Forum was held on 11 December 2014 at Veda’s Melbourne, Sydney & Brisbane offices The health insurance providers that form the Health Fraud Focus Group are: Health Insurance Fraud Focus Group

23 Health Insurance Fraud Discussion
Summary of outcomes A number of fraud & identity issues were discussed and ranked in order of importance. The top 4 issues as agreed by the attendees were: Unsure if dealing with fictitious or stolen identities Threats of cybercrime Lack of visibility of other fraud incidents across the industry – is there a common trend? Fake and exaggerated claims and lack of visibility of other fake claims across the industry – is there a common trend? Health Insurance Fraud Focus Group

24 Health Insurance Fraud Discussion
Potential Solutions Issue: Potential Solution: Unsure if dealing with fictitious or stolen identities Threats of cybercrime Lack of visibility of other fraud incidents across the industry – is there a common trend? Fake and exaggerated claims and lack of visibility of other fake claims across the industry – is there a common trend? Electronic identity verification at time of member on-boarding using IDMatrix Monitor on-line behaviour and create defence using ThreatMetrix device intelligence Collect health insurance fraud data into a central repository using Veda’s existing fraud solutions Collect health insurance claim data into a central repository and apply Veda analysis tools to reveal potential fraud Health Insurance Fraud Focus Group

25 Who is committing this fraud?
Examples Financially stressed individuals acting on their own Individuals wanting to maintain a lifestyle that is otherwise unaffordable Product sales people seeking commission / reward for signing more new business Rogue insiders who understand loopholes receiving pay- offs from outside parties Organised fraud rings Health Insurance Fraud Focus Group

26 Veda’s Fraud & Identity Solutions
Health Insurance Fraud Focus Group

27 Veda’s Holistic Approach To Fraud & ID Management
Using data and technology to determine assurance level of an identity Actively manage risks: Prevent identity fraud Detect criminal syndicates Minimise the risk via the online channel Real time risk assessment Your customers, your rules, your decisions Identity Verification Consumer Credit Insurance Claims Commercial Credit Public Records National Tenancy Historical Electoral Roll Historical phone Veda Public Phone Current Electoral Roll PEP & Sanctions screening Driver’s licence Passport Medicare card Visas Marriage & birth certificate Fraud Assessment Device intelligence Shared Fraud Database Velocity assessment Phone association Phone verification Knowledge Based Authentication Custom black / white lists Assess fraud risk using current, historical & predictive information KBA KYC Verify the identity Generate questions about the identity Verify the identity belongs to the applicant Health Insurance Fraud Focus Group

28 Utilising Veda’s Data In Identity Verification
Demonstrate the identity is legitimate & operates in the community Veda’s approach: Check social footprint together with validating documents are authentic Triangulate all results Not subjective – apply rules in consistent manner Exclusion datasets include Shared Fraud Database and custom black-lists Continual assessment of verification data sources No need to store copies of sensitive documents Datasource Number of records Name Address DOB Consumer Credit 16 million Insurance Claims 10.5 million Commercial Credit 3.7 million Public Records 3.5 million National Tenancy 1.2 million Historical Electoral Roll 80 million Historical phone Veda Public Phone 8 million Current Electoral Roll 14.1 million Birth certificate Marriage certificate Australian passport DIAC Visas Driver’s licences Medicare Health Insurance Fraud Focus Group

29 Utilising Veda’s Data In Identity Verification
Evidence that links the applicant to the claimed identity Knowledge Based Authentication is a type of verification that uses out-of-wallet knowledge questions to verify an individual’s identity: Questions are generated dynamically No established relationship is required with your applicants Breaks predictability for fraudsters KBA KYC Verify the identity Generate questions about the identity Verify the identity belongs to the applicant Health Insurance Fraud Focus Group

30 How do lenders in Australia minimise risk of fraud?
Tackling fraud as a community Over 70 members sharing experiences & intelligence on investigated fraud incidents. Fraud Forum conferences & Roundtables events From that, we identify $1 billion is fraudulent Veda processes $1 trillion of credit application year 90% of fraudulent applications appear credit worthy Fraud frequently is mis-categorised as bad debt The most effective approach to tackle fraud is to tackle it as a community Fraud Focus Group Shared Fraud Database Database of fraud incidents. Prevents systematic re-use of fraudulent application details Shared Fraud Database Fraud data includes: credit card, personal loan, mortgage fraud incidents; data from law enforcement agencies; suspect records identified by Veda. Additional intelligence Members provided with data statistics and mitigation optimisation strategies On-going monitoring On-going alert monitoring for 60 days from initial check Health Insurance Fraud Focus Group

31 Veda Fraud Focus Group 1. Fraud Focus Group 2. FraudCheck
70+ Fraud Focus Group Members including financial services & telecommunications organisations 2 Conferences Per Annum & 3 Round Tables Per Annum Members are provided with data statistics and mitigation optimisation strategies 1. Fraud Focus Group A database containing de- personalised verified application fraud incidents Fraud incidents are provided by all Fraud Focus Group members Contribution to the database is a fundamental principle of the group Fully automated service (via XML) or available online 2. FraudCheck Utilises the FraudCheck data Ongoing monitoring service Will continue checking applications 60 days after an initial FraudCheck 3. FraudWarning Information stored in the Shared Fraud Database: Current & Previous address Drivers License Number Passport number Home Phone Number Mobile Phone Number Employer Name Employer Phone Number Guarantor Phone Number Referee Phone Number Fraud Type Health Insurance Fraud Focus Group

32 Our Members + 65 Health Insurance Fraud Focus Group

33 Connect The Meaningful Patterns
Listing Party & Details Listing Elements FFG Member Hits GE Sept 26 Suncorp (Occurred August 29) Mortgage via Broker Personal Loan via Branch Listed September 3 Employer phone: CBA Sept 20 DL: Mercedes Sept 13 Waterview Place Docklands VIC ANZ (Occurred July 22) Suspect Personal Loan via Branch Listed September 6 Optus Sept 11 BMW Sept 5 Health Insurance Fraud Focus Group 33

34 Delivering on the promise
Health Insurance Fraud Focus Group 34

35 Providing an Integrated Layered Defense
Health Insurance Fraud Focus Group

36 Veda and ThreatMetrix Customers Working Together
Health Insurance Fraud Focus Group

37 Health Fraud Focus Group Proof of Concept

38 Phase 1 - Fraud Information Sharing
Pilot approach Phase 1 - Fraud Information Sharing 3 month duration with an option to extend for a further 3 months This also includes membership to the Veda Fraud Focus Group allowing access to the Shared Fraud Database Phase 2 – Claims Analysis To be scoped at the conclusion of Phase 1 Health Insurance Fraud Focus Group

39 Pilot– Enquiry Process
The Health Insurance Provider creates a weekly batch file of claims Provides the file to Veda Veda washes claims against the Shared Fraud Database Veda provides fraud alerts to investigate Health Insurance Provider advises outcomes of the fraud alerts to Veda Health Insurance Fraud Focus Group

40 Pilot– Listing Process
Health Insurance Provider identifies a fraud Completes the FraudCheck listing template Sends FraudCheck listings securely to Veda Veda uploads data to the SFD Health Insurance Fraud Focus Group

41 Pilot overview Veda has designed the process to minimise impact to both the day-to-day operations and IT operations of the participants. Veda has deployed a hosted web portal service which can be accessed through any standard web browser. This will eliminate the need for any IT integration work. Veda will setup each participant with user names and logins New customer application or claims submitted Data is uploaded to the fraud system web portal Case Management for Investigations Team Fraud List Matching: Local FFG National Health FFG National Flexible Rules Engine External Data Sources List Management Virtual Investigations Team Analytical Input Health Insurance Fraud Focus Group

42 Thankyou! Health Insurance Fraud Focus Group

43


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