Big Data Can Fight Fraud in Health Insurance Exchanges: Opera
As Opera Solutions works with the federal government to detect fraud in health insurance exchanges, a feedback mechanism and big data...
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G4S Compliance & Investigations and Church Mutual Enter Into Strategic Partnership
G4S Compliance & Investigations (G4S) has entered into a strategic, multi-year contract with Church Mutual Insurance Company to serve as its...
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CAIF Survey Shows Analytics Key Weapon in Slowing Insurance Fraud
For insurers facing increased organized insurance fraud, predictive modeling and text mining will be the primary anti-fraud technology investments anticipated by...
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Preventing Fraud: Insurers Invest in Anti-Fraud Tech — Slideshow
The Coalition Against Insurance Fraud recently conducted a study on how integral anti-fraud technology is to the insurance industry’s battle against...
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A look at how predictive modeling explodes claims scams
Specialty health insurer Universal American (White Plains, N.Y.) had a problem: A common Medicare fraud scheme was making its way from...
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Texas hospital system uses palm scans to ID patients
Texas Health Presbyterian Hospital Dallas piloted the palm-vein scanners last fall. The rest of the system was online by December. About...
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NICE Uses Voice Biometrics To Expand Fraud Prevention Capabilities
NICE Systems has launched a new technology solution to track fraud patterns and screen phone interactions for deception. The solution, named...
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Blame Technology For Rise In Medicare Billing, Not Docs
A recent New York Times article argued that electronic health records were contributing to a rise in fraudulent Medicare billing, instead...
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Sharing data a key to countering medical fraud
The recent announcement by the Department of Health and Human Services and Department of Justice to form a National Fraud Prevention...
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CAIF: Tech Propels Anti-Fraud Strategies
Anti-fraud technology has become an integral component in insurers’ fraud-fighting arsenal. In fact, when coupled with collaboration amongst SIU, claims, law...
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