For many health systems, AI is now a board‑level mandate, yet progress often stalls at pilots and isolated use cases. The organizations seeing real value are treating AI as an enterprise capability jointly owned by the finance and IT leaders and investing in that alignment – especially across HR, finance, and supply chain operations.
That shift requires a shared language about risk, data, operating models, and outcomes. When technology and finance leaders align on where AI can act, how it will be governed, and how impact will be measured, AI moves from experimentation to durable improvements in cost, quality, and workforce experience.
In this session, leaders from Hospital Sisters Health System and Johns Hopkins Medicine and others will discuss how they are turning AI strategy into enterprise impact, and what they’ve learned about getting from early experiments to sustainable results.
You'll learn:
- What a compelling AI business case looks like from finance and IT leaders
- Practical ways finance and IT leaders can align on a shared AI agenda for HR, finance, and supply chain
- How to define and build a data foundation that makes AI trustworthy at scale for operational decisions
- How to design AI governance and platform choices that balance innovation, risk, and limited capital
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