Insight
Whitepaper: Responsible AI in Hospital Planning
Author: Severin Sjømark
A practical framework for leaders, planners, and procurement professionals evaluating AI in hospital planning.
Deepinsight has developed the framework "Responsible AI in Hospital Planning". It provides leaders, planners, administrators, and procurement officers with a common language and a practical method for evaluating AI initiatives. At Deepinsight, we use the framework ourselves when assessing our own product initiatives.
Planning in hospitals is about more than just logistics. This is where priorities become concrete: who is operated on first, what capacity is reserved, and how the training of junior doctors is balanced against daily operations. Such decisions require judgment.
Regulations set minimum requirements, but they do not provide answers to the questions hospitals face. Should this specific task be automated? What does good human oversight look like in practice? What happens to professional expertise over time?
The framework is built on three concepts. Judgment is the ability to assess a situation as a whole and remain accountable for the choice. Resonance is about the relationships between people and their work, which good care presupposes. Formation is the slow process that builds professional discretion over years.
In the whitepaper you will find:
The Judgment Compass: four ways an AI capability can impact human judgment
Six questions to ask of any AI initiative
The Oversight Ladder, which shows what human control means in practice and when a system can be granted more autonomy
Four examples from planning in Norwegian hospitals
A dedicated chapter on agentic systems
Ten questions procurement officers can ask any vendor
You are free to use, quote, and adapt the content as long as you cite Deepinsight as the source. The questions for vendors can be incorporated directly into procurement specifications.
