The Endgame for Value-Based Care: Who Wins, Who Loses, and What Must Exist to Scale
A big picture conversation at Arbital Health's 2026 Summit on why value-based care still has not broken through at scale, despite years of pilots, policy, and tech investment. They will discuss shifting risk dynamics, structural friction, and why shared infrastructure—not more tools—may decide who advances and who stalls.
Watch the Full Session
Speakers:
Tim Smith, ASA, MAAA, MS, Chief Actuary, Arbital Health Juliette Price, Chief Solutions Officer, HSG Global
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Who Should Own Healthcare AI?
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0:50
Healthcare's Toxic Relationships Are Over
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3:58
Designing The Perfect Value-Based Contract
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1:09
The Winning Formula for Specialty Value-Based Care
Care Model + Contract Model
3:20
The Real AI Challenge for Risk-Bearing Organizations
From Data Lakes to Point of Care
4:26
Does AI Actually Save Money in Healthcare?
Is AI delivering ROI in VBC or are we still in the hype phase?
4:26
Why AI's Real Impact in Value-Based Care Is Still Coming
AI Investment Going From ~$1B to $1T and What's Next
2:26
Rethinking VBC Contract Timelines for Real Savings
Why VBS's True ROI Rarely Shows Up in Today's Timelines
About Arbital Health
Arbital Health provides the Actuarial AI-enabled infrastructure for providers and payers to successfully manage risk-based contracts. Combining the industry's leading value-based care actuaries with a robust AI-powered platform, Arbital Health centralized fragmented data, accelerates contract performance monitoring, and helps speed decision making. Merlin AI, the company's embedded actuarial AI assistant, is powered by actuarial logic to continuously measure contract performance, forecast financial impact, and deliver actionable insights to drive down spend and MLR, improving patient outcomes while there is still time to act. Arbital Health is led by a best-in-class team of healthcare actuaries, engineers, and industry veterans, and backed by leading investors: Valtruis, Transformation Capital, Shaper Capital and Healthy Ventures.
