We investigate the experiences with implementation of artificial intelligence (AI) in healthcare. Implementation of AI in healthcare has proven to be complicated and fraught with difficulties. Hence, the many expectations to and investments in AI over the last decade is contrasted by the few examples of successful implementation of healthcare AI in Denmark as well as internationally. We have seen successful cases in Denmark and internationally, but even more project that that have stalled or been terminated. There is a need for collecting experiences and gaining an overview of implementations of AI in order to identify furthering and hindering factors in implementation processes. As one of the most digitized countries in the world, Denmark is an apt place to do this.

The project will apply qualitative methods and selected cases to develop an empirically based overview that will provide the basis for richly facetted and empirically based case examples of implementation experiences, as well as overall guidance and frameworks for implementing AI in healthcare. Cases will be selected with an aim of variety considering cases of AI for decision-support, diagnosis, or prediction on the one hand and cases of AI being implemented, in-use or being scaled.

If you have interesting examples or experiences that you would like to share with us, you are most welcome to write an email or give us a call!

Project period September 2025 to May 2028

The project is funded by the Independent Research Fund Denmark