Static Future Technologies, Dynamic Professionalism : Co-creating Future Scenarios in Medical Imaging Practices

Susan van Hees*, Jordi P.D. Kleinloog, Alessandro Sbrizzi, Wouter P.C. Boon

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

New magnetic resonance imaging (MRI) techniques that offer faster scanning and potential artificial intelligence-assisted interpretation and diagnosis can significantly impact existing workflows in radiology. In a qualitative study embedded within a responsible research and innovation design, we investigate the development and potential implementation of quantitative MRI. We aim to investigate postdigital MRI futures, covered by scenarios of potential workflows, as well as the resulting implications for professions and related education involved in the MRI process. Furthermore, we examine the related and changing responsibilities, more specifically reflecting on ‘forward-looking responsibilities’. Through expert interviews (n = 20) and a focus group, stakeholder perspectives on the future of quantitative imaging techniques were explored. During a subsequent co-creation workshop and another focus group, stakeholders reflected on future scenarios in quantitative MRI. Our study shows that a proactive and future-oriented investigation of the influence of emerging technologies on potential workflows and subsequent changes in expertise and roles help in gaining or increasing awareness about the wider impact of a technology developed to contribute to faster and quantitative MRI exams. We argue that anticipating postdigital worlds by reflecting on future responsibilities through the co-creation of imaginaries can help making uncertain futures tangible in other ways.

Original languageEnglish
Pages (from-to)135-153
Number of pages19
JournalPostdigital Science and Education
Volume6
Issue number1
DOIs
Publication statusPublished - Mar 2024

Keywords

  • Forward-looking responsibilities
  • Imaginaries
  • Postdigital professionalism
  • Quantitative medical imaging
  • Responsible innovation
  • Workflows

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