AI in value-based care

As healthcare accelerates toward full value-based adoption by 2030, organizations face a pivotal question: Can current systems meet rising expectations around outcomes, equity, and efficiency?

This whitepaper uncovers how next-generation AI, spanning traditional analytics, generative models, and autonomous agentic systems, is reshaping the VBC landscape. From reducing administrative load to enabling real-time intelligence and seamless cross stakeholder coordination, AI is unlocking new possibilities for scalable, patient centric operations.

Organizations adopting these capabilities are seeing measurable advancements in operational speed, care consistency, and decision quality. But the deeper transformation lies in AI’s ability to unify fragmented data, anticipate risks early, and create an ecosystem where workflows continuously learn and optimize. This paper outlines the strategic shifts leaders must embrace to build a resilient, future-ready VBC model.

Key takeaways:

• Where AI unlocks the highest value across the VBC ecosystem
• Proven results from AI-enabled workflows in clinical, operational, and financial domains
• Trends shaping CMS, APM, and VBC performance expectations through 2030
• Governance, compliance, and ethical guardrails for safe, responsible AI adoption