Tag: Fraud

Analytics | Fraud & Security Intelligence
John Stultz 0
What can agencies learn from massive Medicaid fraud busts?

On June 22nd, the U.S. Department of Justice announced the largest Medicaid fraud bust in history. The National Health Care Fraud Takedown included 301 defendants charged, $900 million in false billings, 61 medical professionals and 29 doctors, across 36 states. In another case, investigators in New York uncovered more than

Fraud & Security Intelligence
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From fraud detection to fraud prevention: working towards optimal audits

Currently, most fraud detection solutions for financial crime and tax fraud are focused on risk assessing entities. That is to say, they evaluate the risk of each individual or businesses separately. While this helps prioritize risk-based investigations by alerting investigators to the likelihood of fraud, it does not necessarily maximize deterrence.

Fraud & Security Intelligence
Michael Rabin 0
„Fraudsters love digital“

Wer glaubt, die Digitalisierung hätte dem Thema Versicherungsbetrug den Garaus gemacht, der irrt – gewaltig. Nach wie vor ist einer von zehn gemeldeten Schäden und Ansprüchen erfunden oder manipuliert. Der Schaden: mindestens 4 Milliarden Euro allein in Deutschland – und das nur bei Sachversicherungen, also ohne Lebens- oder Krankenversicherungen. Den

David Hartley 0
Insurers beware: Fraudsters love digital!

Insurers are embracing digital to meet the demands of modern consumers. And, of course, there are obvious benefits to them from less costly, more streamlined interactions with their customers. The trouble is that digitisation comes with a major health warning: Unless insurers put suitable measures in place, they're at risk

Analytics | Fraud & Security Intelligence
Ricky D. Sluder, CFE 0
Why Excel isn’t the solution for health care fraud, waste and abuse investigations

To prepare for the data challenges of 2015 and beyond, health care fraud, waste and abuse investigative units (government funded and commercial insurance plans, alike) need a data management infrastructure that provides access to data across programs, products and channels. This goes well beyond sorting and filtering small sets of

Fraud & Security Intelligence
Henrik Becker 0
Wie erkennt man Kreditbetrug?

Es war eines dieser Fußballspiele, das man am liebsten vergisst. Zwei Mannschaften spielen Rasenschach ohne erkennbaren Drang zum Tor und ohne erkennbares Konzept. Hätte man den Gegner vorher doch mal studiert, wüsste man, wie man den Abwehrriegel knackt, wie man gnadenloses Pressing betreibt und traumhaft herausgespielte Tore den Zuschauern als

Analytics | Fraud & Security Intelligence
Paula Henderson 0
Analytics making a difference in tax fraud: Kentucky protects taxpayer money, uncovers fraud schemes

According to a 2012 report, it was estimated that over the next five years the US Internal Revenue Service (IRS) will issue more than $20 billion in potentially fraudulent tax refunds. Figures like this do little to boost taxpayers’ confidence in our nation’s tax system. And tax fraud is not

Analytics
Jon Lemon 0
Four-step approach to government fraud detection

Every day there are news stories of fraud perpetrated against federal government programs. Topping the list are Medicaid and Medicare schemes which costs taxpayers an estimated $100 billion a year. Fraud also is rampant in other important federal programs, including unemployment and disability benefits,  health care, food stamps, tax collection,

Analytics | Fraud & Security Intelligence
John Stultz 0
Is predictive analytics misguiding your fraud detection efforts?

When it comes to fraud detection and risk mitigation, predictive modeling has earned a reputation as the “heavy hitter” in the realm of data analytics.  As our celebration of International Fraud Awareness Week continues, I would challenge our readers to ask themselves this question, “Is the reliance upon predictive analytics