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.
Price
Free
Language
English
Who can attend
Everyone
Dial-in available? (listen only)
Not available.
Agenda
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
Hosted By Point B
Trusted by the world's leading organizations, Point B is a consulting firm that works at the intersection of expertise, industry insight and transformative technology. This collaborative approach enables you to solve your most important challenges, by bringing together the right mix of talent and technology to deliver greater value and impact. With over 850 associates in the US and 3000+ consultants around the world through our Nextcontinent partnership, we work where you do to deliver the change you seek.
Jeff has over 25 years of experience in management consulting and professional services in both leadership and delivery roles. He leads Point B’s work across medical and oral health plans, nationally recognized Medicaid managed care organizations,...
I lead Point B’s Data & Analytics Solutions practice, with a primary focus on advising companies on analytic and data management strategy across business functions and leading D&A execution in technology architecture and engineering.