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Payers often rely on the expertise of their investigators to identify new patterns for scrutiny. While this strategy can produce strong results, it takes away valuable time from already overloaded staff dealing with large caseloads. As new complexities and challenges arise, the use of multiple detection approaches has become even more important to minimize losses due to fraud, waste, and abuse (FWA).
During this Program Integrity Pulse webinar, hear from FWA experts on how artificial intelligence (AI) and machine learning (ML) can be used to detect emerging patterns of inappropriate billing and how to navigate new technology challenges to optimize results. Viewers will:
- Learn how multiple detection approaches can find new emerging schemes, as well as increase the efficiency and accuracy of results in the investigative process
- Understand how to navigate the complexities and challenges within the healthcare FWA detection space
- Hear examples of emerging patterns identified through the combined use of AI and investigative expertise