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Physiological team dynamics explored: physiological synchrony in medical simulation training

  • Rafael Wespi
  • , Andrea N. Neher
  • , Tanja Birrenbach
  • , Stefan K. Schauber
  • , Marie Ottilie Frenkel
  • , Helmut Georg Schrom-Feiertag
  • , Thomas Sauter
  • , Juliane Kämmer
  • University of Bern
  • University Hospital of Bern
  • University of Oslo
  • Heidelberg University
  • University of Applied Sciences Furtwangen

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

For researchers and medical simulation trainers, measuring team dynamics is vital for providing targeted feedback that can lead to improved patient outcomes. It is also valuable for research, such as investigating which dynamics benefit team performance. Traditional assessment methods, such as questionnaires and observations, are often subjective and static, lacking the ability to capture team dynamics. To address these shortcomings, this study explores the use of physiological synchrony (PS) measured through electrocardiogram (ECG) data to evaluate team dynamics automated and in high-resolution.
OriginalspracheEnglisch
Aufsatznummer5
Seitenumfang16
FachzeitschriftAdvances in Simulation
Volume10
DOIs
PublikationsstatusVeröffentlicht - März 2025

Research Field

  • Future Interface Design

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