The End of Sample Audits: How AI Will Transform Hospital Device Credit Compliance, Overpayment Reporting, & Federal Enforcement

What Hospital CFOs, Compliance Officers, Revenue Cycle, Cath/Ep, Surgery Leaders, and Supply Chain Executives Need to Know Before AI-Powered Audits Become the Norm

Federal agencies are increasingly using artificial intelligence, advanced analytics, and data sharing to strengthen healthcare fraud detection. While AI does not create new compliance requirements, it dramatically increases the government’s ability to identify hospitals that may not be meeting existing device credit and overpayment reporting obligations.

Explanted Medical Device warranty credit compliance is particularly well suited for AI-driven detection because it relies on structured data and repeatable billing patterns. Rather than relying on sample audits, AI can quickly identify unusual trends that warrant further investigation.

Join us to learn how AI may reshape device credit compliance enforcement and what your organization can do today to reduce risk and prepare for what comes next.

Event Details
Date: Wednesday, July 29th
Time: 2 PM EST/11 AM PST

Expert Speaker
• Al Brander, RN, FACHE, MBA, BSN, BSW, HCAP, Vice President of Clinical Services at SpendMend

What You Will Learn
Attendees will gain insight into:
• Recent federal announcements related to AI-assisted healthcare fraud detection
• How the traditional sample audit model differs from an AI-driven enforcement model
• Why device credits are an ideal target for advanced analytics
• How unusual billing and credit-reporting patterns may trigger further review
• What hospitals can do to prepare for increased data scrutiny
• Practical steps to help AI-proof device credit and overpayment compliance programs

SpendMend webinars are offered at no charge to our prospects, clients, and partners.
Webinar registration closes 1 hour before the event.

Register for the webinar here!