AI Will Fail in the hospital — Unless We Change the Way We Think About It

Quick Read AI will fail in the hospital — unless we get these three things right AI is often presented as a data problem or a model problem. In reality, most AI failures are mindset failures. Without the right mindset, the right skills, and a strong coupling between dataset and context, AI systems will not […]

NIS2 & AI in European Hospitals

Quick Read NIS2 Is About AI — Even If You Think It Isn’t NIS2 is often described as a cybersecurity directive. In reality, it is a governance stress test. For hospitals deploying AI, NIS2 redraws the line between “innovation” and “critical infrastructure”. If an AI system influences care delivery, operations, or continuity, NIS2 already applies […]

Deploying Large Language Models Inside Electronic Health Records

Quick Read LLMs in the EHR: Real-World Deployment, Adoption, and What Actually Drives Value EHRs have improved access to clinical data — but often at the cost of a massive increase in administrative time. In some settings, physicians spend more than 50% of their time on non-clinical tasks. LLMs are frequently framed as the solution, […]

AI in Healthcare: Huge Potential, Slow Adoption in Europe

Quick Read AI in European Healthcare: From Potential to Practice European healthcare systems are under growing pressure. Aging populations, chronic diseases, staff shortages, rising costs, and widening inequalities are challenging the sustainability of care. Artificial Intelligence (AI) is often presented as part of the solution — but in practice, its deployment remains limited. Key takeaways […]