SITL against Fraud
What if you could detect fraud before it happens?
Detecting fraud after it happened is the traditional way of fighting fraud. In fact, there has been no other way to do it since insurance exists. Recently, adding artificial intelligence to the process helps, but a fact remains: the money is already gone. Efforts and additional money are required to prosecute fraudsters and to get the money back. It's obvious that this additional money is lost to the fraud.
Imagine now, instead, using artificial intelligence to recognise claim patterns at the time the claim is submitted. If a fraud pattern is detected, the claim is automatically rejected before it happens.
Fraud Patterns
When it comes to fraud, fraudsters are creative. Here are only a few of the fraud patterns used by members and practitioners. Unfortunately, there are other patterns.
The face of fraud
Fake Receipts
The face of fraud
Collusion Rings
The face of fraud
Misrepresentation
The face of fraud
Fake Practitioner Identity
Fraudsters submit false claims under the name of a practitioner who ignores it's identity is counterfeited. Not only this is a problem from the fraud perspective but the reputation of the practitioner is also compromised.
Abuse - Another sort of fraud
Benefits are meant to financially back you up in case expenses are required because of a health condition. But sometimes, members use them like if it was free money. Getting services not required is another way to fraud.
The face of fraud
Abusing
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