Meaningful Outcomes Determine the Winners of the Health AI Race

Global investment in healthcare AI exceeded $18 billion in 2025, yet health systems still lack a shared understanding of the outcomes that investment should deliver. Meaningful Outcomes Determine the Winners of the Health AI Race – developed by the World Economic Forum’s Centre for Health and Healthcare in collaboration with LSE Health under the André Hoffmann Fellowship – argues that success in the health AI race will be determined not by technological sophistication but by which systems first identify and pursue the outcomes that matter most to patients, professionals and health systems.

The paper introduces the concept of value inversion, a structural misalignment in which AI’s value is defined disproportionately by those furthest from its consequences. Drawing on expert interviews, it proposes four principles for reorienting AI governance around meaningful outcomes: identifying outcomes bottom-up through engagement with patients and front-line professionals; co-creating outcome definitions through public–private collaboration; prioritizing outcomes over technological sophistication; and designing context-sensitive frameworks for settings of both scarcity and abundance.

Without a shared language for defining and measuring what healthcare AI should deliver, systems risk optimizing for what is easiest to count rather than what matters most. This paper provides a framework for ensuring AI investment translates into real value for healthcare systems and the populations they serve.