Healthcare AI Policy in 2026: Only 7 of 38 OECD Countries Have an AI Strategy
Only seven of 38 OECD countries have a formal AI strategy, and just 11% have workforce upskilling programs for health AI—revealing a global policy gap that threatens equitable adoption. At a 2026 Madrid conference hosted by Spain’s Ministry of Health and the OECD, experts warned that without coordinated regulation, trust in AI will erode, especially among youth and patients. The data shows near-universal patient optimism toward AI’s potential—98% positive—but deep concern over bias and lack of transparency. Crucially, patients demand clear, AI-specific consent forms and direct communication from healthcare providers, not just tech companies. Dr. Ricardo Baptista Leite of HealthAI laid out five urgent policy fixes for the EU: unify dual regulatory oversight, lower market barriers for SMEs, align existing legislation, centralize learning from national pilots, and embed patients and civil society as active decision-makers—not tokens. The overarching message? AI in health isn’t just about technology—it’s about trust, inclusion, and literacy. Without intentional design, even the most advanced systems will fail to serve the people they’re meant to help.
Only 7 of 38 OECD countries have a formal AI strategy, and just 11% have workforce upskilling programs for health AI.
98% of surveyed patients support AI in healthcare, but fear bias and demand AI-specific consent forms and direct provider communication.
Regulatory fragmentation—dual horizontal and vertical oversight—must be resolved through joint mock exercises and coordination.
SMEs face critical barriers in market access due to complex health technology assessment and reimbursement pathways.
The EU must align the AI Act, MDR, IVDR, and European Health Data Space to reduce complexity and accelerate responsible scaling.
…and 3 more takeaways available in PodZeus
Introduction: The State of Health AI Policy in 2026
“Out of 38 OECD countries, only seven have a formal AI strategy.”
The Need for Trust and Data Efficiency
Eric Sutherland emphasizes the urgent need for better data use, regulatory simplification, and public trust as foundational to responsible AI scaling in healthcare.
Youth in AI Governance: A Missing Voice
“Young people are only referred to in different strategies and documents as only as the future workforce.”
Patient Perspectives: Hope, Fear, and the Need for Transparency
“Patients would like to receive direct communication from healthcare professionals and also they would like to receive, if possible, AI-specific consent forms.”
Five Policy Recommendations for the EU
“If we are serious about scaling technology in a way that is truly equitable, that means we need to include everyone to ensure that AI can improve health for everyone everywhere.”
“If we are serious about scaling technology in a way that is truly equitable, that means we need to include everyone to ensure that AI can improve health for everyone everywhere.”
“Out of 38 OSCD countries, only seven have a formal AI strategy.”
“Young people are only referred to in different strategies and documents as only as the future workforce.”
Host
Guests
OECD
organization
Digital Transformation for Health Lab
organization
Tjasza Zaitz
person
Erza Selmani
person
Valentina Stramelo
person
European Patients Forum
organization
Dr. Ricardo Baptista Leite
person
HealthAI
organization
World Economic Forum
organization
Persephone Dupi
person
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