Two-thirds of European hospitals already use artificial intelligence for diagnostics and patient care, yet only one in 12 countries has strategies to govern the technology. That gap creates a genuine public health risk, threatening patient safety and — critically — public confidence in healthcare systems themselves.
Hans Henri P. Kluge, the WHO Europe chief, calls the situation "concerning." Half of the 53 WHO Europe countries have deployed AI-powered patient chatbots, and two-thirds have introduced AI diagnostics. Regulatory frameworks haven't kept pace. Hospitals in some nations operate under strict oversight, while others use the same tools with minimal safety protocols. That's not integration. That's regulatory chaos.
The Trust Problem
Public trust in healthcare systems is already fragile across much of Europe. Add unvetted AI systems, and you're asking citizens to accept medical decisions influenced by algorithms they don't understand and governments don't oversee. "All of this erodes public trust in health systems more broadly," Kluge warned. He's right. Citizens need to know that someone tested the technology making recommendations about their health, identified its risks, and will watch for problems after the system goes live.
Ricardo Baptista Leite, CEO of HealthAI, the global agency for responsible AI, frames the challenge differently but reaches the same conclusion: technology alone won't fix healthcare. "If you retrofit AI into an inefficient system, it just makes you very efficient at being inefficient," he told Euronews. The issue isn't AI itself. It's whether the underlying system can use the technology well. Most European health systems can't.
The Structural Problem
Europe's ageing population is pushing already stretched healthcare systems toward crisis. Yet hospitals still operate under payment models that reward treating illness, not preventing it. Prevention needs different incentives: funding models that pay for early intervention and proactive monitoring, not just acute care. AI could help identify patients at risk before conditions become severe, but only if the system acts on that information.
Baptista Leite's point matters here: "Technology is not going to save us alone." AI can analyse health data alongside social factors to flag people who need support. It can help hospitals shift from reaction to anticipation. But most member states haven't undertaken the structural reform that shift demands. They need to invest in prevention infrastructure and create new contracts between governments and healthcare providers. Technology without that foundation is just expensive theatre.
Toward Governance
HealthAI is working with regulators in 10 countries to develop an early warning system for AI-related adverse events. The goal is to share information about emerging risks quickly enough to prevent widespread harm. That's necessary work, but it also indicts the current situation: an external mechanism must catch problems because most national systems don't have one.
The centre-right position here is clear. Healthcare governance belongs at the national level; member states should set their own safety standards and oversee deployment. But that only works if member states do the work. Right now, they're not. Hospitals adopt AI systems because competitors do, not because regulators have determined they're safe. That's a race to the bottom.
Europe's healthcare systems already struggle under demographic pressure and fiscal constraint. Adding unregulated AI increases risk without managing it. That's not innovation. That's negligence.
Why This Matters:
Europe's healthcare systems are already at capacity. Deploying AI without adequate oversight creates clinical, legal, and fiscal liability that member states will ultimately bear. If AI systems produce adverse outcomes, public health budgets already stretched thin will absorb the cost. More importantly, healthcare legitimacy depends on public trust that decisions are evidence-based and accountable. When hospitals use algorithms that governments don't monitor and citizens don't understand, that trust erodes.
The regulatory gap identified by WHO Europe isn't a technical problem for Brussels directives to solve. It's a sovereignty question: member states must invest in the governance capacity to oversee AI deployment or restrict that deployment until they can. Right now, most are choosing neither.