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The case of the $800,000 man begins with a motor
vehicle injury resulting in a concussion and neck strain. A
45-year-old man, who had been with his employer about three months,
filed a workers' compensation claim. After the initial report of
injury, claims arrived for a series of consultations, visits to a
number of physicians, multiple MRIs, a CAT scan, and finally, a
request for permanent total disability.
The Workers' Compensation Fund of Utah, which
insured the employer, faced the possibility of paying close to a
million dollars for this single claim. Accordingly, reserves of
$800,000 were set aside.
An astute adjuster may have noticed the unusually
high level of activity on the claim and that expenses were
growing;signals that the claimant might be exaggerating his injury.
Instead of leaving the responsibility of detection solely to a busy
employee, the Workers' Compensation Fund employed a new predictive
software solution, which almost immediately identified this claim as
one to watch.
Developed by Costa Mesa, Calif.-based HNC
Insurance Solutions, the software pinpoints suspicious claims not
based on red flags that it has been programmed with, but based on
experience. The software uses a neural network that is built from
historical data and is able to learn to recognize which inputs have a
significant effect on the prediction. The neural network automatically
discovers not only additive linear relationships among data, but also
iterative, nonlinear relationships.
The model identifies and analyzes hundreds of
variables from the initial claims report, payment transactions and
medical services details that may be indicative of fraud. The neural
network is then "trained" based on historical data which
allows it to recognize and weigh activity indicative of fraud. For
each claim, it then compiles a score of 1 to 1000, with higher scores
indicating a higher likelihood of fraud and lists the reasons why this
claim should be examined.
The case of the "$800,000 Man," as he
came to be known, was quickly spotted as a potentially fraudulent case
when the score reached 500 in December 1997, a few months after the
accident. The high score for this particular claim was based on a high
rate of payments and activity, in particular for diagnostic radiology.
Within a few months, the duration and cost of the claim had become
excessive, compared with similar claims.
The case was monitored and investigated through
the spring of 1998, at which point it was finally terminated. Through
the use of predictive technology, an $800,000 claim was avoided. |