The goal is to improve detection or identification of insurance fraud by companies by combining fraud indicators between multiple parties. Specifically, the focus will be on health insurance fraud by healthcare providers.
Often, insurance fraud by healthcare providers is discovered (too) late by CZ, because they miss crucial information known to other parties like banks and the KvK. Combining fraud indicators may give sufficient cause to suspect and investigate fraud, but this data cannot be readily shared between these parties due to confidentiality of the data. Multi-Party Computations offers a solution to securely combine the fraud indicators to a weighted sum, without revealing the actual confidential indicators. This enables the possibility to identify which companies need to be investigated further. TNO, CZ, KvK and Rabobank will jointly develop an MPC demo to showcase this possibility, opening up the way to detection of other fraud as well.
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