Human–AI collaboration for prehospital trauma triage: Designing the On Scene Injury Severity Prediction (OSISP) model as a clinical decision support system
The refined OSISP UI has potential to integrate well into the clinical workflow during patient assessment, as well as enhance human-AI collaboration through customizable information when communicating predictions. However, usability testing of the OSISP UI is needed to ensure clinical utility.
Authors
- Anders Jönsson (ORCID: https://orcid.org/0000-0001-7928-7021)
- Magnus Andersson Hagiwara (ORCID: https://orcid.org/0000-0002-6888-9323)
- Stefan Candefjord (ORCID: https://orcid.org/0000-0001-7942-2190)
- Bengt Arne Sjöqvist (ORCID: https://orcid.org/0000-0002-6564-737X)
- Mattias Seth (ORCID: https://orcid.org/0000-0002-3737-3316)
- Eva-Corina Caragounis (ORCID: https://orcid.org/0000-0001-5637-2637)
- Anna Bakidou (ORCID: https://orcid.org/0000-0002-4288-8146)
- Eunji Lee (ORCID: https://orcid.org/0000-0001-8369-7736)
Institutions
- Sahlgrenska University Hospital (SE)
- Chalmers University of Technology (SE)
- University of Borås (SE)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251403207
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00