Generative AI and Data in Value-Based Payment Models

Artificial intelligence (AI) and data have become increasingly important in healthcare as the industry continues to pivot toward value-based care. This transition has shifted the way data are acquired and shared, with payers needing more and more access to claims and clinical data. 

Furthermore, new datasets such as social determinants of health play a large role in value-based models, helping to improve population health and lower healthcare costs.

In this Keeping IT Brief Podcast episode, Arcadia Chief Strategy Officer and former U.S. Chief Technology Officer Aneesh Chopra, Resonant Principal Robin Weinick, and Guidehouse Director Don Simpson discuss leveraging AI and data to capture the full potential of value-based models.

According to Simpson, “Integrating data to come up with holistic insights on value-based payment (VBP) will continue to be an evolving area. It is clear that social determinants of health data will play a role in the future of VBP programs,” most notably through:

• Personalized patient experiences — Combining social determinant of health and consumer data allows providers and healthcare organizations to offer more customized services and experiences based on social and economic circumstances.
• Financial flexibility — VBP programs can enable healthcare organizations to allocate resources that address social determinants of health at the population level, allowing funding and payment for social service providers.
• Better data modeling — Integrating disparate data sources can pose challenges. AI tools and futuristic tech can provide better modeling to capture the full potential of VBP programs.

By synthesizing data with innovative technologies and finding themes and patterns in various populations, healthcare organizations can pinpoint and address root causes of issues affecting communities.

Learn more by listening to the full podcast, “Generative AI and Data in Value-Based Payment Models."