AI in Emergency Medicine

A human-centered approach to the application of AI in Emergency Medicine: A scenario-based evaluation of different levels of AI support

Artificial intelligence is expected to have a significant impact on the healthcare sector. In emergency medicine in particular, it promises to increase the speed and accuracy of clinical decisions and improve patient triage, as well as the detection of high-risk and life-threatening diseases. Realising this potential requires a human-centric approach to AI that counteracts the prevailing focus on technical feasibility and promotes collaborative human-AI performance and thus health and well-being.

The ‘AI in Emergency Medicine’ project will first identify potentially useful AI use cases in emergency medicine from a human-centred perspective. It will then empirically analyse how different levels of AI support influence trust, acceptance, the quality of medical decision-making and the well-being of staff.

Project Lead

FHNW: Prof. Dr. Fred Van den Anker
ZHdK: Prof. Dr. Anna Lisa Martin-Niedecken

Team

FHNW: Romy Dänzer, Serge Petralito
ZHdK: Annina Gähwiler

Mentoring

Project Partner

Prof. Dr. Dr. Nikola Biller-Andorno (Institute of Biomedical Ethics and History of Medicine, University of Zurich), Dr. med. Thomas Christian Sauter (Faculty of Medicine, Bern University Hospital)

Duration

01.12.2023 – 31.05.2026

Funding

Swiss National Science Foundation SNSF – Health and Wellbeing Call

Use of Dipex

Project Website