Physiological team dynamics explored: physiological synchrony in medical simulation training
type: AcademicArticle
abstract: INTRODUCTION: 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. METHODS: A multicentre observational field study was conducted involving 214 medical first responders during mixed reality (MR) mass casualty training sessions. Participants were equipped with electrocardiogram (ECG) sensors and MR gear. The study measured dyadic PS using heart rate (HR), root mean square of successive differences (RMSSD), and standard deviation of NN intervals (SDNN). Data were collected at high frequency and analysed using dynamic time warping (dtw) to assess fluctuations in PS. RESULTS: Findings indicate that PS varies significantly by task nature, with higher synchrony during cooperative tasks compared to baseline. Different ECG metrics offered unique insights into team dynamics. Proximity and scenario conditions influenced PS, with closer teamwork leading to higher PS. Smaller sampling intervals (e.g. 5 s) provided a detailed view of PS fluctuations over time. DISCUSSION: The results demonstrate the potential of PS as an indicator of team performance and cohesion. High-resolution monitoring provides detailed insights into team dynamics, offering high-resolution feedback that traditional methods cannot provide. The integration of physiological measures into training programmes can enhance team performance by providing objective, high-resolution data. CONCLUSION: This study shows that PS, measured by ECG data, is sensitive to medical team a…
pages: 5
doi: 10.1186/s41077-025-00335-5
source: 40025623
creator: Person
author list: Person
is part of: Issue
  date: 2025-03-03
  volume: 10
  issue: 1
  is part of: Adv Simul (Lond)
    type: Journal
    issn: 2059-0628 (Electronic) 2059-0628 (Linking)

Person
given name: R.
surname: Wespi

Person
given name: A. N.
surname: Neher

Person
given name: T.
surname: Birrenbach

Person
given name: S. K.
surname: Schauber

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given name: M. O.
surname: Frenkel

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given name: H.
surname: Schrom-Feiertag

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given name: T. C.
surname: Sauter

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given name: J. E.
surname: Kammer