New schemes and patterns are constantly shifting and emerging within healthcare fraud, waste, and abuse (FWA). To combat unnecessary losses, payers frequently rely on the strength of their experts. But while this strategy can produce adequate results, the effort dedicated to scrutinizing claims can take away valuable time from often overloaded staff managing significant caseloads. To decrease reliance on staff alone and combat an ever-evolving FWA landscape, it’s becoming imperative for payers to rely on multiple detection approaches to minimize FWA-related losses.
During this quarter’s Program Integrity Pulse webinar, Finding new schemes with AI and investigative techniques, my colleague Ryan Cleverly and I are excited to take our audience through the benefits of using artificial intelligence (AI) and machine learning (ML) to detect emerging patterns of inappropriate billing and how to navigate new technology challenges.
I invite you to view our on-demand webinar as we walk through how to:
- Use multiple detection approaches to find new emerging schemes, as well as increase the efficiency and accuracy of results in the investigative process
- Navigate the complexities and challenges within the healthcare FWA detection space
- Identify emerging patterns through the combined use of AI and investigative expertise
Don’t miss this opportunity to learn how your plan can improve FWA management and prevention with effective use of emerging technologies.
The National Health Care Anti-Fraud Association (NHCAA) is extending one (1) Continuing Professional Education credit towards the AHFI® designation to attendees of the live webinar that complete the NHCAA attestation online.
