Live Webinar

Fraud in Social Benefit Programs: Beyond the Economic Repercussions

Join SAS health care fraud experts as we discuss how analytics takes fraud investigation to the next level to safeguard patients and improve outcomes.

March 23 • 2 p.m. ET • Cost: Complimentary

About the webinar

We know that social benefit programs fraud can cause huge financial losses that lead to long-term economic damage.

But even more troubling is the harm this type of fraud brings to patients, often with dire consequences. Unfortunately, even the human toll isn’t enough to stop fraudsters and their schemes.

Join our panel of health care fraud and analytics experts as we discuss how the failure to pursue fraud detection may exacerbate other problems, such as increasing the risk of negative health outcomes for patients.

Learn how analytics helps:

  • Accelerate investigations and uncover suspicious activity sooner.
  • Detect key risk indicators at every stage of the fraud detection process.
  • Reduce false positives to improve investigation focus.

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About the Experts


John Maynard
Principal Solutions Architect, Global Fraud, Risk and Security Intelligence Practice, SAS

John Maynard is an expert in fraud and risk, and a champion for data-driven payment integrity solutions for health care and government. Serving in government for nearly 25 years, he has a broad background in federal, state and local programs. Maynard is a Certified Public Accountant (CPA) and former auditor.
 


Tom Wriggins
Principal Solutions Architect, Global Fraud, Risk and Security Intelligence Practice, SAS

With more than 30 years of health care experience, Tom Wriggins is a respected thought leader within government health care and data analytics. He is responsible for business analysis and analytics design, data management consultation, application and interpretation of comprehensive program/payment integrity, and data analysis solutions.
 


Ben Wright
Principal Solutions Architect, Global Fraud, Risk and Security Intelligence Practice, SAS

Ben Wright has more than 20 years of experience in pre-payment fraud detection, data analytics, data mining and payment integrity process development. He helps health payers and their partners ensure the integrity of the health payment process and prevent improper payments through the effective use of advanced analytics. Wright is also an Accredited Health Care Fraud Investigator.
 

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