Physiological team dynamics explored: physiological synchrony in medical simulation training
This study shows that PS, measured by ECG data, is sensitive to medical team activities, offering insights into team dynamics. Different ECG metrics highlight various aspects of team performance, and high-resolution monitoring captures detailed dynamics. Further research is needed to validate these findings across diverse scenarios. This approach could improve training methodologies, resulting in better-prepared medical teams and improved patient care outcomes.
Authors
- Rafael Wespi (ORCID: https://orcid.org/0000-0002-3416-3938)
- Helmut Schrom-Feiertag (ORCID: https://orcid.org/0000-0002-5327-2494)
- Tanja Birrenbach (ORCID: https://orcid.org/0000-0002-3046-0900)
- Juliane E. Kämmer (ORCID: https://orcid.org/0000-0001-6042-8453)
- Marie Ottilie Frenkel (ORCID: https://orcid.org/0000-0003-0646-2612)
- Stefan K. Schauber (ORCID: https://orcid.org/0000-0002-1832-2732)
- Thomas C. Sauter (ORCID: https://orcid.org/0000-0002-6646-5789)
- Andrea N. Neher (ORCID: https://orcid.org/0009-0001-4911-8806)
Institutions
- University of Bern (CH)
- Bern University of Applied Sciences (CH)
- AIT Austrian Institute of Technology GmbH (AT)
- University of Oslo (NO)
- Heidelberg University (DE)
- University Hospital of Bern (CH)
- Furtwangen University (DE)
Publication Details
- Journal
- Advances in Simulation
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1186/s41077-025-00335-5
- Citations
- 3
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 4.16