A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide.

Journal: BMC health services research
PMID:

Abstract

BACKGROUND: The national breast screening programme in the United Kingdom is under pressure due to workforce shortages and having been paused during the COVID-19 pandemic. Artificial intelligence has the potential to transform how healthcare is delivered by improving care processes and patient outcomes. Research on the clinical and organisational benefits of artificial intelligence is still at an early stage, and numerous concerns have been raised around its implications, including patient safety, acceptance, and accountability for decisions. Reforming the breast screening programme to include artificial intelligence is a complex endeavour because numerous stakeholders influence it. Therefore, a stakeholder analysis was conducted to identify relevant stakeholders, explore their views on the proposed reform (i.e., integrating artificial intelligence algorithms into the Scottish National Breast Screening Service for breast cancer detection) and develop strategies for managing 'important' stakeholders.

Authors

  • Rumana Newlands
    Health Services Research Unit, University of Aberdeen, Aberdeen, UK. r.newlands@abdn.ac.uk.
  • Hanne Bruhn
    Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
  • Magdalena Rzewuska Díaz
    Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
  • Gerald Lip
    Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK.
  • Lesley A Anderson
    Centre for Health Data Science, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
  • Craig Ramsay
    Health Services Research Unit, University of Aberdeen, Aberdeen, UK.