Assistant Vice President, Special Investigations Unit
CNA detects, prevents insurance fraud beyond expectations
Within twelve months of implementing the SAS® Fraud Framework for Insurance, one of the largest US insurers had opened 15 new provider investigations with an exposure of $20 million. At the same time, savings generated from the implementation of four predictive models reached over $2 million.
To many criminals, insurance companies make easy and attractive targets for fraud. From single individuals misrepresenting the extent of their losses to large networks perpetrating elaborate schemes, fraud can cost US insurers as much as $80 billion each year.
For CNA, the nation's seventh largest commercial lines carrier with annual revenues of more than $9 billion, fighting fraud is mission-critical. According to Tim Wolfe, Assistant Vice President of CNA's Special Investigations Unit, elements of fraud may be found in as many as 10 percent of the claims that CNA processes.
"We train our adjusters to identify the red flags," he says, "but, we reached a point where we understood that we had an opportunity to do a better job in both identifying likely fraud and avoiding the wasted expense of investigating false positives."
State-of-the-art fraud combat
CNA operates in four key segments that are most attractive to fraudsters: commercial property, commercial auto, general liability and workers' compensation.
At one end, workers’ comp cases include disability and medical claims for fabricated or exaggerated workplace injuries. At the other, networks of affiliated providers submit claims for improper, excessive or nonexistent services to rack up thousands of dollars in unearned reimbursements.
"There are new and highly sophisticated schemes emerging all the time, so we were constantly vulnerable to new threats," says Wolfe. "Our Executive Vice President of Claim, George Fay, who has a strong background in military intelligence, challenged us to find state-of-the-art ways to improve our fraud detection results."
"We have an excellent working relationship with SAS. They took the time to learn from us and truly understand the nuances of claims fraud at CNA so that we could build effective predictive models for each line of our business."
20 percent hit rate
The company chose the SAS® Fraud Framework for Insurance. With SAS, CNA built predictive models and now runs weekly analyses against its structured claims data as well as text notes from adjusters.
"We have an excellent working relationship with SAS," says Wolfe. "They took the time to learn from us and truly understand the nuances of claims fraud at CNA so that we could build effective predictive models for each line of our business.
"Each Monday morning, after a weekend data run, SAS provides our staff with a percentage of claim alerts that score high for fraud potential. Right now, we're reviewing about 100 alerts a week, and we're finding that we are averaging a 20 percent hit rate – about one in five alerts that we review is a good case for investigation."
One quarter, 15 new cases
Next, CNA uses SAS Social Network Analysis to find broader patterns and connections among providers indicative of fraud conspiracies.
"We have a separate team investigating the provider networks, and SAS is having an important impact there," says Wolfe. "Not many providers can deliver that visual representation and the links to the individual entities that are potentially perpetrating these larger-scale frauds."
"Our implementation here is fairly new and these investigations can sometimes take months or years to reach fruition. We expected to identify about a dozen cases annually, but in just the first quarter, we initiated 15 different investigations. It is expected that these fraud rings will prevent up to $20 million in fraudulent claims. SAS found more viable cases than we'd anticipated."
$2.1 million savings right away
Within twelve months of full implementation of the models, CNA had recovered or prevented fraudulent claims totaling over $2 million, directly attributable to SAS.
And investigations now operate more efficiently because CNA can focus on high-likelihood cases instead of false positives.
"The implementation of such groundbreaking technology and its impact inspires confidence and gratitude among our customers," Wolfe says.
"Our employer customers are as eager as we are to root out the fraud," he adds. "One or two bad claims can put a small company out of business. So, they really appreciate that we have this program in place on their behalf and ours."
Increase the rate of accurate fraud detection and successful fraud prevention.
Over $2 million saved and 15 new provider cases launched to date with over $20 million exposure; more accurate detection and fewer false positives improve efficiency and value of investigations; greater confidence among key stakeholders.