Algorithmic decision-making in Clinical Care: Evidence, Equity, and Economics Across Health Systems
May 30 @ 5:00 am - 6:00 am UTC+0
As algorithmic decision-making tools—ranging from traditional rule-based models to advanced AI systems that learn from data—become integral to clinical care, understanding their real-world impact is more crucial than ever. This panel brings together experts to explore the evidence behind effectiveness, scalability, and equity of these applications across diverse healthcare settings—from high-income to low-and middle-income countries. Panelists will share insights on methodological challenges, lessons from implementation, and offer perspectives on what is needed to ensure these technologies are safely and effectively integrated into diverse health systems.