How technology predictions will become a health plan reality

Tuesday, April 2nd, 2024 | 12:00 PM - 1:00 PM CT

Data, analytics and artificial intelligence are critical to identifying how and where to influence actions across stakeholders – members, providers and employers – that help lower costs and increase quality care.

According to Gartner’s U.S. Healthcare Payers’ Emerging Technology Priorities and Progress by Use Case, while only 7% of U.S. healthcare payer organizations have fully deployed generative AI and large language models to resolve member self-triage, 35% of payer leaders already cite this technology as a top priority.
How do payers infuse next-generation technology and data and analytics into their organizations to influence that behavior?

In this webinar, payer executives discuss what's needed to make the technological predictions for payers a reality. 

Learning points: 
  • What a payer-specific data ecosystem looks like, and the organization needed to support it 
  • Identify the main barriers to deploying and scaling next generation technologies and ways to overcome them 
  • Where and how data can influence stakeholder behavior that reduces cost and increases quality healthcare delivery





Tory Tolton

Solutions Director, Point B


Jeff Burpo

Managing Principal, Point B

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Rob Alger

Senior Vice President Health Plan Technology Strategy, Kaiser Permanente

Desai, Rushil

Rushil Desai

Chief Executive Officer, Aetna Better Health of Illinois


Matt McGinnis

VP of Data and Analytics, Evernorth