Insurance Fraud 16
Insurance Fraud 16 : (5) Detecting Insurance Fraud: The detection of insurance fraud generally occurs in two steps. The first step is to identify suspicious claims that have a higher possibility of being fraudulent. This can be done by computerized statistical analysis or by referrals from claims adjusters or insurance agents. Additionally, the public can provide tips to insurance companies, law enforcement and other organizations regarding suspected, observed, or admitted insurance fraud perpetrated by other individuals. Regardless of the source, the next step is to refer these claims to investigators for further analysis. Due to the sheer number of claims submitted each day, it would be far too expensive for insurance companies to have employees check each claim for symptoms of fraud. Instead, many companies use computers and statistical analysis to identify suspicious claims for further investigation. There are two main types of statistical analysis tools used: supervised and unsupervised. In both cases, suspicious claims are identified by comparing data about the claim to expected values. The main difference between the two methods is how the expected values are derived. In a supervised method, expected values are obtained by analyzing records of both fraudulent and non-fraudulent claims. According to Richard J. Bolton and David B. Hand, both of Imperial College in London, this method has some drawbacks as it requires absolutely certainty that those claims analyzed are actually either fraudulent or non-fraudulent, and because it can only be used to detect types of fraud that have been committed and identified before
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