Putting AI to use in healthcare fraud waste and abuse (FWA)2020-06-11T16:53:19-07:00

AITE REPORT

Capitalize on proven Brighterion AI for healthcare FWA, finds industry analyst

Healthcare insurers have been held back by rules-based, inefficient technology that still allows $240 billion in annual fraud, waste and abuse.

Industry analyst firm Aite Group compares Mastercard’s revolutionary use of Brighterion AI in other payment fraud and finds the same platform could transform the FWA space.

Read this report to learn how:

  • Healthcare insurers can benefit from Mastercard’s experience in payments fraud detection, coupled with data scientists and FWA subject-matter experts
  • Fraud can be significantly reduced through the combination of AI tools, using unsupervised learning to update schemes in real time while using supervised learning to reveal patterns and anomalies
  • Insurers can reduce claims processing and approval time to catch healthcare fraud before they pay providers

“Mastercard has revolutionized a highly rules-based, inefficient payment fraud space by leveraging its AI technology in its card network to identify and stop fraudulent card payments on a real-time basis. The company is now capitalizing on that experience and applying it to tackling FWA in healthcare payments. ”

Aite Group

Putting AI to Use in Fraud, Waste, and Abuse, March 2020

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Capitalize on proven Brighterion AI for healthcare FWA, finds industry analyst

Healthcare insurers have been held back by rules-based, inefficient technology that still allows $240 billion in annual fraud, waste and abuse.

Industry analyst firm Aite Group compares Mastercard’s revolutionary use of Brighterion AI in other payment fraud and finds the same platform could transform the FWA space.

Read this report to learn how:

  • Healthcare insurers can benefit from Mastercard’s experience in payments fraud detection, coupled with data scientists and FWA subject-matter experts
  • Fraud can be significantly reduced through the combination of AI tools, using unsupervised learning to update schemes in real time while using supervised learning to reveal patterns and anomalies
  • Insurers can reduce claims processing and approval time to catch healthcare fraud before they pay providers

“Mastercard has revolutionized a highly rules-based, inefficient payment fraud space by leveraging its AI technology in its card network to identify and stop fraudulent card payments on a real-time basis. The company is now capitalizing on that experience and applying it to tackling FWA in healthcare payments. ”

Aite Group

Putting AI to Use in Fraud, Waste, and Abuse, March 2020