Insurance Fraud 17
Insurance Fraud 17 : (5) Detecting Insurance Fraud: Unsupervised methods of statistical detection, on the other hand, involve detecting claims that are abnormal. Both claims adjusters and computers can also be trained to identify "red flags," or symptoms that in the past have often been associated with fraudulent claims. Statistical detection does not prove that claims are fraudulent; it merely identifies suspicious claims that need to be investigated further. Fraudulent claims can be one of two types. They can be otherwise legitimate claims that are exaggerated or "built up," or they can be false claims in which the damages claimed never actually occurred. Once a built up claim is identified, insurance companies usually try to negotiate the claim down to the appropriate amount. Suspicious claims can also be submitted to "special investigative units", or SIUs, for further investigation. These units generally consist of experienced claims adjusters with special training in investigating fraudulent claims. These investigators look for certain symptoms associated with fraudulent claims, or otherwise look for evidence of falsification of some kind. This evidence can then be used to deny payment of the claims or to prosecute fraudsters if the violation is serious enough. Determining fraud committed by the health insurance companies can sometimes be found be comparing revenues from premiums paid against the expenditure by the health insurance companies on claims. As an example, in 2006 the Harris County Medical Society, in Texas, had a health insurance rate increase of 22 percent for "consumer-driven" health plan from Blue Cross and Blue Shield of Texas. This was despite the fact that during the previous year Blue Cross had paid out only 9 percent of the collected premium dollars for claims
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