Proceeding report from Madrid conference on the responsible scale of AI in healthcare

The OECD published the 39-page proceedings of the Madrid Conference for the responsible scale of AI in health, structured around the Madrid Action Plan for moving AI in healthcare 'from pilots to large-scale deployment' while 'scaling fast while doing no harm.' The report synthesises early evidence of AI benefits in clinical care, analyses why advances are not yet translating into better outcomes at scale — including a 'productivity paradox in healthcare: why more AI is not always better' and non-technology barriers to scaling — and sets out an action plan with three pillars covering trust, stronger foundations (data, regulation, workforce), and economic/financial models. It also publishes an AI-in-health policy checklist framed as a 'living compass for identifying blind spots in the adoption of AI at national and international levels.'

For healthcare-system executives and national digital-health leads, this OECD framework — and its policymaker checklist — is the current international reference for governing AI adoption at scale in a heavily regulated, risk-sensitive sector.

Test your national health-AI strategy against the OECD policy checklist and the Madrid Action Plan pillars (trust, foundations, financing models) to identify blind spots before large-scale deployment.