Feasibility of a multimodal AI-based clinical assessment platform in emergency care: an exploratory pilot study
This exploratory pilot study demonstrates the feasibility and user acceptance of a multimodal AI platform in an ED setting. The system achieved high patient satisfaction, excellent usability, and a generally high level of trust. While these findings are limited to feasibility and perception, they indicate that such systems could serve as a basis for multicenter studies that directly evaluate impacts on triage accuracy, patient engagement, and clinical efficiency.
Authors
- Simon Bedenbender (ORCID: https://orcid.org/0009-0001-1839-4947)
- Nadine Schlicker (ORCID: https://orcid.org/0000-0003-0368-3081)
- Ivica Grgic (ORCID: https://orcid.org/0000-0001-9017-1804)
- Martin C. Hirsch (ORCID: https://orcid.org/0000-0003-3268-4921)
- Gunter Kräling
- Peter Mross (ORCID: https://orcid.org/0000-0003-1482-8346)
- Sharon Brouwer
- Andreas Jerrentrup (ORCID: https://orcid.org/0000-0002-3759-5701)
- Fabian Lechner (ORCID: https://orcid.org/0009-0003-9200-477X)
- Philipp Russ (ORCID: https://orcid.org/0009-0007-2799-5449)
- Mohamed Eldakar
- Kirsten Zantvoort
Institutions
- Universitätsklinikum Gießen und Marburg (DE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-10-03
- DOI
- https://doi.org/10.3389/fdgth.2025.1657583
- Citations
- 2
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.51
Funders
- Philipps-Universität Marburg
- Uniklinikum Giessen und Marburg