How to Use AI to Shift Gears Toward Self-Driving Payment Integrity

Events /How to Use AI to Shift Gears Toward Self-Driving Payment Integrity

On-Demand


The “pay and chase” claims payment model used by many health plans can impact provider satisfaction and increase regulatory risk. A shift to an AI-powered Payment Integrity (PI) model changes the focus from investment in payment platforms to a systemic use of automation to simplify the PI function. Join us to learn how you can leverage a self-driving PI program to can be shifted to other AI projects.

What You’ll Learn

      Improve provider satisfaction
      Reduce regulatory risk
      Achieve cost savings that can be shifted to other AI projects

Our Panelists

 Dr. Vincent Grasso

Dr. S. Vincent Grasso
Global Practice Lead, Healthcare & Life Sciences
IPsoft


Vincent is a trained surgeon, software architect and business analyst actively engaged in shifting the delivery of healthcare from a centralized to a decentralized environment through the optimization and integration of a unified communication platform. He aims to—among other things—enhance the patient experience, mitigate clinical risk, improve clinical outcomes and provide healthcare systems with a competitive advantage via augmented revenue streams.

Deana Rhoades

Deana Rhoades
Principal, Automation, Health Plan Innovation and Consulting
NTT DATA


Deana is a driver of go-to-market strategies and solutions for the company. She manages health plan operations, compliance and IT applications for clients by working collaboratively with solution teams and key stakeholders. She has effectively managed business assessments, as well as turn-around and onboarding efforts for healthcare industry leaders, such as Blue Cross Blue Shield of Michigan.