3 Sources
[1]
WHO warns Europe's AI health governance gap is becoming irreversible
Nearly two-thirds of countries in the region are running AI diagnostics. One in 12 has written down how it will govern them. Hans Kluge opened his speech in Lisbon with a number, which is not how the World Health Organization usually does this. "Let me start with a number: 8%," the WHO Regional Director for Europe told delegates on 15 July. "That's the share of countries in the WHO European Region that have a health-specific AI strategy. Just 8%." Against that, nearly two-thirds of the region's countries are already deploying AI in diagnostics, and half have introduced AI-powered patient chatbots. One in 12 has a strategy to govern any of it. "That gap, between deployment and governance, is the defining challenge of AI in health right now," Kluge said. It is a framing that will sound familiar to anyone following Europe's wider AI adoption problem, though here the currency is not productivity. The figures come from what WHO/Europe describes as the most comprehensive assessment of AI readiness ever conducted across its 53 member states, following its first snapshot of AI in EU health care in April. The picture underneath the headline number is worse than the headline number. Only one in five countries provides AI education for health professionals before they qualify. Only one in four offers training once they are in the workforce. Fewer than half have assessed whether their legal frameworks are fit for purpose, and almost 40% have no ethical guidance on AI in health at all. Kluge was specific about what that costs. "A biased algorithm can produce a wrong diagnosis, for a real patient, with real consequences," he said. "A health worker trained to trust an AI system they can't interrogate is not empowered, leading to mistakes outside their control." The second half of that sentence is the part worth sitting with. It is not an argument about bad algorithms. It is an argument about clinicians being handed a tool they have no standing to question, which is a governance failure rather than a technical one, and it echoes a complaint that has been building among health workers for a while. None of which is an argument against the technology, and Kluge did not make one. Some 98% of member states identify improving patient care as the primary driver for adopting AI, and he pointed to Coimbra, where AI-powered image analysis is helping clinicians identify thoracic diseases and bone fractures faster, cutting waiting times in primary care and emergency settings. "Real patients receive better care today because of AI," he said. The problem is not that it does not work. The problem is that it works in places that have not decided who is liable when it does not. His three asks were governance keeping pace with deployment, meaning every country deploying AI in health needs a strategy, liability standards, and workforce training; international coordination, which is why WHO brought 37 countries from all six of its regions to Lisbon; and a specific role for the Portuguese-speaking world. That last one is concrete. Portugal, Angola, Brazil, Mozambique, and their partners will work towards a Lusophone Cooperation Roadmap on AI and Health, which WHO aims to launch at the Regional Health Summit in Brazil in 2028. It is a Lusophone instrument, not a global one, a distinction some coverage of the speech has already lost. The conference, co-hosted with the Portuguese government and opened by health minister Ana Paula Martins, runs to 16 July. Its three pillars are the rules governing how AI is regulated and held accountable, the tools needed to deploy it safely, and the people expected to use it. Europe is not short of machinery for this. The EU has stood up testing facilities covering medical imaging and robotic rehabilitation, among other things. What Kluge is describing is the gap between that apparatus and 53 health ministries, most of which have not written anything down. Kluge closed on the point that the sector tends to skip. "The future of AI in health won't be decided by algorithms," he said. "It will be decided by the frameworks we build now, the partnerships we forge and the political will we bring to making sure this technology serves everyone, not just the countries and communities wealthy enough to shape it on their own terms."
[2]
Europe needs to catch up with the AI surge in hospitals, WHO says
AI solutions are being deployed across European hospitals; however, only a few countries govern them, putting patients at risk, the WHO Europe chief said. Artificial intelligence tools are revolutionising health care, giving hope to an overstretched health workforce. From diagnostic tools to better workflows -- AI is helping healthcare systems across Europe. However, while the tools are in place, the regulations are nowhere to be found in most of the countries, World Health Organization (WHO) Europe chief Hans Henri P. Kluge warned. That gap -- between deployment and governance -- is the defining challenge of AI in health right now," Kluge said in a press conference in Lisbon on 15 July. The longer that gap persists -- the higher the human cost, he warned. "A biased algorithm can produce a wrong diagnosis, for a real patient, with real consequences," Kluge said. Two-thirds of the 53 WHO Europe countries are already deploying AI diagnostics and half of the countries have AI-powered patient chatbots, but only a few -- one in 12 -- have strategies for how to govern AI. Only 8% of countries in the WHO European Region have a health-specific AI strategy and almost 40% of countries have no ethical guidance on AI use in healthcare settings. As for education, only 1 in 5 countries provides AI education for healthcare students and only 1 in 4 offers training once they are in the workforce. That's a "concerning" picture, Kluge said, stressing that this can take a toll on human health. "All of this erodes public trust in health systems more broadly," he warned. In 2028, WHO aims to launch a Roadmap on AI and Health.
[3]
WHO warns Europe on healthcare AI: deployment is outpacing safety rules
The World Health Organization's 2024-2025 survey says Europe is rolling out healthcare AI faster than it's putting patient safeguards in place. Just 8% of the 53 countries in the WHO European Region have a health-specific AI strategy, the survey found, even though nearly two-thirds already use AI in diagnostics and about half have patient-facing chatbots. That same 2024-2025 WHO survey found that 85% of EU states have a broad AI strategy, but when it comes to healthcare, the planning is much thinner. WHO says fewer than half of those countries have checked whether their current health laws are actually fit for purpose, and nearly 40% still don't have ethical guidance. Hans Kluge says that leaves room for biased diagnoses, clinicians using tools they can't explain, and a mess over who's accountable when systems fail. Training is thin, too: WHO says about 20% of countries teach AI during initial training, and about 25% offer in-service training, which means staff may be working with software they don't fully understand. The upside is real as well. WHO says 98% of states report better patient care, and in Coimbra, WHO points to image analysis that's helping speed up thoracic disease and fracture detection while cutting wait times. If you work in healthcare or policy, this should get your attention. You can read the full WHO findings for the rest of the picture, including the EU AI Act timeline, the July 2026 Lisbon meeting with 37 countries, and a 2028 Lusophone roadmap.
Share
Copy Link
WHO Regional Director Hans Kluge warns that Europe's AI deployment in healthcare is dangerously outpacing governance, with only 8% of countries having strategies while nearly two-thirds use AI diagnostics. The gap threatens patient safety through biased algorithms and untrained clinicians, despite 98% of states reporting improved care.

Hans Kluge, WHO Regional Director for Europe, delivered a stark warning at a Lisbon conference on July 15, opening with a number that captures the scale of the problem: just 8% of countries in the WHO European Region have a health-specific AI strategy
1
. This figure comes from what WHO Europe describes as the most comprehensive assessment of AI readiness ever conducted across its 53 member states, revealing a troubling disconnect between technological adoption and regulatory frameworks1
.The contrast is striking. Nearly two-thirds of countries in the region are already deploying AI diagnostics, and half have introduced patient chatbots, yet only one in 12 has a strategy to govern any of it
1
2
. "That gap, between deployment and governance, is the defining challenge of AI in health right now," Kluge told delegates at the conference co-hosted with the Portuguese government1
. This assessment of AI deployment and governance reveals that while 85% of EU states have a broad AI strategy, healthcare-specific planning remains dangerously thin3
.The infrastructure supporting AI in healthcare extends beyond strategy documents to workforce training, where the gaps are equally concerning. Only one in five countries provides AI education for health professionals before they qualify, and only one in four offers training once they are in the workforce
1
2
. This means clinicians may be working with software they don't fully understand, creating accountability issues when systems fail3
.Kluge was specific about the human cost of this governance failure. "A biased algorithm can produce a wrong diagnosis, for a real patient, with real consequences," he stated
1
2
. More revealing was his observation that "a health worker trained to trust an AI system they can't interrogate is not empowered, leading to mistakes outside their control"1
. This framing shifts the discussion from technical limitations of biased algorithms to the structural problem of clinicians being handed tools they have no standing to question.The WHO Europe assessment uncovered additional systemic weaknesses in how countries approach AI governance. Fewer than half have assessed whether their legal frameworks are fit for purpose, and almost 40% have no ethical guidance on AI in health at all
1
2
. WHO Europe warns that these gaps leave room for misdiagnoses and create confusion over accountability when systems fail3
. The longer this gap persists, the higher the human cost, with erosion of public trust in health systems becoming a tangible risk2
.Yet Kluge's message was not a rejection of the technology itself. Some 98% of member states identify improving patient care as the primary driver for adopting AI in healthcare
1
3
. He pointed to Coimbra, where AI-powered image analysis helps clinicians identify thoracic diseases and bone fractures faster, cutting waiting times in primary care and emergency settings1
3
. "Real patients receive better care today because of AI," he said, emphasizing that the problem is not whether it works, but that it operates in places that have not decided who is liable when it does not1
.Related Stories
Kluge outlined three specific asks to address the governance crisis. First, AI governance must keep pace with deployment, meaning every country deploying AI in healthcare needs a strategy, liability standards, and workforce training
1
. Second, international coordination is essential, which is why WHO Europe brought 37 countries from all six of its regions to the Lisbon conference1
3
. Third, he called for a specific role for the Portuguese-speaking world, with Portugal, Angola, Brazil, Mozambique, and their partners working towards a Lusophone Cooperation Roadmap on AI and Health, which WHO aims to launch at the Regional Health Summit in Brazil in 20281
2
3
.The conference, which ran through July 16, focused on three pillars: the rules governing how AI is regulated and held accountable, the tools needed to deploy it safely, and the people expected to use it
1
. Kluge closed with a reminder that the sector often overlooks: "The future of AI in health won't be decided by algorithms. It will be decided by the frameworks we build now, the partnerships we forge and the political will we bring to making sure this technology serves everyone, not just the countries and communities wealthy enough to shape it on their own terms"1
. This emphasis on equitable access and patient safety underscores that the AI safety rules challenge facing WHO Europe and its 53 member states is as much about political will as technical capability.Summarized by
Navi
1
Technology

2
Policy and Regulation

3
Science and Research
