Healthcare Fraud Detection Companies

Disclaimer: List of key companies in no particular orderLatest Healthcare fraud detection Companies Update

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  May 2023: Mastercard and HealthLock joined forces to protect customers against fraudulent medical bills and incorrect claims. This cooperation was launched in May 2023. Healthlock's platform is now available to Mastercard HSA and FSA account holders, allowing them to track all healthcare claims in one location, look for signs of fraud, negotiate lower costs, and appeal denied claims. The statement states that with the HealthLock platform, people can review all of their medical insurance claims in one convenient location. The collaboration is a response to rising demand from patients for a single digital health hub where they can manage everything from insurance details and prescription refills to appointments and patient check-ins.

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  June 2023: ClaimSearch Israel Ltd., a Verisk subsidiary and the official operator of Israel's fraud detection database for the country's compulsory insurance market, announced in June 2023 that Kyndryl has built a package of technological services for the company. In order to swiftly assess new vehicle claims for bodily injury (compulsory insurance in Israel) and detect indicators of fraud, the new solution makes use of Kyndryl's strong computational capabilities and Verisk's extensive subject experience. Each year, insurance fraud in Israel costs companies hundreds of millions of New Israeli Shekel (NIS), which is ultimately passed on to policyholders in the form of increased premiums.

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  September 2023: SentiLink introduced a new service with the goal of bolstering financial institutions' in-house fraud detection algorithms. SentiLink is a provider of identification and risk solutions, and their latest product, Facets, offers feature-specific information gleaned from their proprietary identity data and their consortium of banks, credit unions, and FinTechs. According to the press release, it works in tandem with SentiLink's current scores to combat synthetic fraud and identity theft. Due to the rising complexity of financial fraud schemes, financial institutions are increasingly turning to automated systems driven by machine learning (ML). However, the success of these models is highly dependent on the accuracy of the input data.

• DXC Technology Company


• UnitedHealth Group


• SAS Institute Inc.


• WIPRO LIMITED


• EXLSERVICE Holdings Inc.


• International Business Machines Corporation (IBM)


• COTIVITI INC.


• McKesson Corporation


• CGI INC


• FAIR ISAAC Corporation


• LEXISNEXIS