Demystifying AI in revenue cycle management: How real AI solves real problems and creates real cost savings


Tuesday, June 7th, 2022 | 1:00 PM - 2:00 PM CT

Healthcare organizations face significant challenges in terms of staffing (on-shore or off-shore), productivity, throughput, and/or quality. Autonomous coding solutions powered by artificial intelligence can help address these challenges, but not all autonomous coding solutions are created the same.

During this webinar, we discuss the differences in artificial intelligence technologies and the real-world impact they have. We will examine a case study across multiple health systems to show how AI-powered autonomous coding solutions can achieve high automation rates at a high quality. The case study will also show how AI-powered autonomous coding solutions can significantly alleviate staffing pressure, eliminate physician burden, increase throughput, decrease time to bill and reduce denials.

Learning Objectives:
 
  • Gain an understanding of four different types of artificial intelligence: natural language processing, natural language understanding, machine learning and deep learning
  • Learn how artificial intelligence can be applied to automatically and accurately code physician notes
  • Address the challenges of applying advanced artificial intelligence tools to the revenue cycle

Presenters:

Jay Aslam - Perla Ponce

Jay Aslam

Chief Data Science Officer, CodaMetrix

Michael Mercurio - Perla Ponce

Michael Mercurio

Co-Founder, CodaMetrix and VP of Physician Billing Services, Mass General Brigham (MGB)