Leverage AI to Protect the Integrity of Your Laboratory’s Revenue Cycle

Lab billing system reports may be hiding red flags that lead to lost revenue. This webinar addresses how artificial intelligence (AI) and machine learning (ML), tailored to revenue cycle management (RCM), can be used to detect existing and emerging revenue cycle compliance and revenue threats--before they negatively impact a lab's bottom line.

Finding them early enables labs to respond proactively, thus minimizing poor payer relationships, fines, audits, adverse contractual agreements, and low industry reputation. In short, the sooner you detect these threats, the less damage they can do.

Thankfully, recent innovations in the healthcare financial space have leveled the playing field in favor of laboratory executives. With the real-world application of artificial intelligence (AI) and machine learning (ML) in the medical laboratory revenue cycle, laboratory executives can detect compliance and revenue performance threats in near-real-time, protecting their revenue performance and compliance, all while keeping existing investments in billing systems and RCM partners. Furthermore, integrating AI/ML can advance data analytics, an element that becomes especially important as new data dimensions are added in the lab and test menus change. 

Dark Daily's new, free webinar will feature Gravity Diagnostics, a CLIA-certified, CAP-accredited lab, as well as revenue cycle leaders who have leveraged advanced AI/ML to identify revenue performance and compliance opportunities. The program presents a new approach to proactively address and remediate financial issues that all labs face.