Healthcare edition
This week is about where AI in healthcare is really landing: not with the doctor, but in administration and policy.
AI in hospitals is mostly about administration, but the real gains have yet to arrive
Healthcare administration is now the biggest AI application in hospitals, but only 8 per cent runs at scale.
The AI Monitor Ziekenhuizen 2026 by M&I/Partners shows that AI is shifting from medical uses to business operations. Healthcare administration and billing top the list at 80 per cent, an increase of 32 percentage points. Yet the real impact remains limited: 53 per cent of applications are small-scale and only 8 per cent run at full scale. The biggest obstacles are money, too little AI awareness among staff, and limited capacity to actually put things into practice.
Background for subscribersAI is used most in hospitals for exactly the work you do: reporting, planning, and billing. Yet only 8 per cent of those applications actually run at full scale. That means much of it is still in an early stage. At the same time, new EU rules have applied since 2 August 2026: if your organisation uses AI to communicate with clients, you must disclose that. And if colleagues start using tools on their own without any agreements in place, that increases the risk of mistakes with client data. So map out which AI tools are already being used in your process, and check whether there is a policy that says what is and is not allowed.
Care organisation Vitalis saves time at intake with AI
On 6 August 2026, Vitalis introduced an AI tool that saves time during multidisciplinary intake. That is the meeting in which professionals from several disciplines assess a new client together. It is a concrete example of AI speeding up organisational processes, not care itself.
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