Available On Demand
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
Speakers
Tory Tolton | Solutions Director, Point B
Jeff Burpo | Managing Principal, Point B
Rob Alger | Senior Vice President Health Plan Technology Strategy, Kaiser Permanente
Rushil Desai | Chief Executive Officer, Aetna Better Health of Illinois
Matt McGinnis | VP of Data and Analytics, Evernorth
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