Healthcare
Is your organisation ready for the AI it is already using?
The blocking factor in healthcare AI is rarely the technology. It is whether anyone owns the risk, and we help you decide who does.
Hospital and clinic leadership, health authorities, medical faculties and health-technology companies.
Services
Four services, with the time each takes
AI maturity assessment
We place your organisation on four levels of AI use and show what each level exposes you to.
4–6 weeksClinical & administrative AI governance
Risk classification, human oversight and documentation for the AI systems your organisation uses.
8–12 weeksHealth data governance & EHDS readiness
An assessment of how you reuse health data, manage consent and share data across borders, measured against GDPR and the EHDS.
6–8 weeksWorkplace satisfaction & wellbeing measurement
Surveys and indicators that show how satisfied and well your staff are, and what drives it.
8–12 weeksContext
What is driving the question here
EU AI Act
Most clinical decision support counts as high-risk, and hospitals using it carry duties of their own (Article 26).
EHDS
New EU rules on reusing health data (Regulation 2025/327) favour data that is already well governed.
Medical devices
When a model counts as a medical device, more rules apply.
Informal use
Staff using free AI tools on patient material is the most common risk we see.
Proof
We taught healthcare AI leadership on an executive course at a university faculty of medicine.
Discuss a healthcare project.
Two working sessions, a look at what you already have, and a short written plan with options, time and cost.