Pilot limbo: why most clinical AI never scales, and how some hospitals break the cycle
Hospitals are investing in AI, building strategies, and running pilots. What most of them haven't cracked yet is how to make it last.
On June 24, we explore why, and what the hospitals that figured it out did differently. A CEO, an AI accelerator lead, and a critical care specialist from three Dutch hospitals join Wouter Gude, author of the AI Monitor for Hospitals 2026, to share the decisions, the resistance, and the lessons they wish they had earlier.
You will also see kaiko, the clinical AI workspace, live and already running at leading European hospitals, preparing a patient consultation. And you will hear from a surgeon at NKI-AVL on what it changed for him and his patients.
Walk away with a clear answer to the question most hospital leaders are still sitting with: what does it actually take?
Program and speakers
Moving AI from pilot to practice
Most clinical AI never makes it from a controlled trial into routine use. What stalls it is rarely the technology itself, but the organisational work of adoption, governance, and integrating AI into the daily flow of care. In this panel, our speakers bring three different perspectives to the same problem: what it actually takes to move AI from a promising trial into something a clinical team uses every day.
Introducing kaiko, the clinical AI workspace
In this session, we'll show you what kaiko's clinical AI workspace looks like in practice, built around the way clinical teams actually work. It helps clinicians and nurses prepare the patient picture before consultation, reasons across the patient record, and drafts what follows. It's in daily use at a leading European hospital, where it has proven to reduce preparation time, cognitive workload, and staff frustration. Our team will walk you through how kaiko fits inside the clinical day and where the workspace is heading next.
From the ward: how AI actually lands with the people using it
Michel Wouters shares what changed when kaiko became part of how he works. He will talk about where it earned trust within his team, where his clinicians pushed back during adoption, and what genuinely surprised him about how the workspace changed the way his department prepares for and delivers care.
What you’ll leave with
- Why AI pilots stall, and what the hospitals that scale do differently
- Three perspectives on clinical adoption: hospital leadership, an AI accelerator, and the ward
- How kaiko has helped hospitals move from pilot to roll-out, for better care
Questions
For any questions about the event, please get in touch with us.