AI can help providers get better outcomes in value-based care models

An accountable care expert offers perspective on the role artificial intelligence can play in transforming risk adjustment, synthesizing quality and risk data, and helping patients more fully engage with their care.

The momentum of value-based care is poised to accelerate. The Centers for Medicare and Medicaid Services has outlined an ambitious objective: to transition all traditional Medicare beneficiaries into a VBC arrangement by 2030 – a notable increase from the mere 7% recorded in 2021 by Bain research.

As more health plans, providers and members enter VBC arrangements, substantial volumes of clinical data will need to be managed effectively to oversee patient risk and care quality.

Jay Ackerman, president and CEO of Reveleer, a quality improvement and risk adjustment technology and services company, has deep knowledge of the healthcare landscape, VBC contract models and the technologies behind the scenes. We interviewed him to discuss the potential of artificial intelligence to revolutionize risk adjustment, how AI can synthesize both quality and risk adjustment clinical data, and how providers can use AI tools to help patients fully engage in their care.

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