Preparing for Implementing Commercial Algorithms in Radiology: A Formative Evaluation Study

Abstract

This paper aims to contribute to a better understanding of the practical preparations necessary for adopting and scaling AI solutions in clinical radiology. Based on a longitudinal qualitative case study of a Norwegian health trust’s AI procurement for radiology and the trust’s further implementation preparations, the paper explores the following research questions: How does the healthcare organisation prepare for implementing CE-marked algorithms? How can a healthcare organisation establish acceptance among radiologists when implementing commercially available AI solutions for ...