Emergency medical services providers' perspectives on the use of artificial intelligence in prehospital identification of stroke- a qualitative study in Norway and Sweden.

Journal: BMC emergency medicine
Published Date: Jul 28, 2025

Abstract

BACKGROUND: Stroke is a large and increasing health challenge, leading to acquired physical disability and mortality. A rapid diagnostic assessment in the acute phase of a stroke is crucial and highly time dependent. Studies suggest that artificial intelligence (AI) could contribute for prognostication, prediction and resource optimization in suspected stroke cases in prehospital emergency care. The objective of the current study was to explore Emergency Medical Services providers' perspectives on using AI in the prehospital assessment of patients with a suspected stroke diagnosis.

Authors

  • Ann-Chatrin Linqvist Leonardsen
    Østfold University College/Østfold Hospital Trust, Postal Box Code 700, Halden, 1757, Norway. ann.c.leonardsen@hiof.no.
  • Camilla Hardeland
    Østfold University College, Postal Box Code 700, Halden, 1757, Norway.
  • Andreas Dehre
    PICTA, Prehospital Innovation Arena, Lindholmen Science Park, Gothenburg, Sweden.
  • Glenn Larsson
    PICTA, Prehospital Innovation Arena, Lindholmen Science Park, Gothenburg, Sweden.

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