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Dynamic patterns of communication and workload during cardiac surgery: An explorative study
Liam Wietzorrek1,2, Eugenie Craenen3, Indy van Boven2
1Department of Cardiothoracic Surgery, Heart Centre, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
Plos One
|June 30, 2026
Summary
Operating room team communication varies with workload. Case-irrelevant communication increases with lower personal workload but higher team workload, impacting surgical phase length.
Area of Science:
- Cardiovascular Surgery
- Surgical Team Dynamics
- Human Factors Engineering
Background:
- Effective operating room (OR) communication is vital for patient safety and surgical outcomes.
- This study examines intraoperative communication in relation to physiological workload during cardiac surgery.
- The research explores links between team member workload, communication types, and surgical phase duration.
Purpose of the Study:
- To investigate the relationship between team members' workload and communication patterns in cardiac surgery.
- To determine how case-relevant and case-irrelevant communication correlate with physiological workload.
- To assess the association between workload, communication, and surgical phase length.
Main Methods:
- 24 cardiac surgeries were recorded, with communication annotated from incision to closure.
- Heart rate monitors assessed team members' physiological workload (HRV, RMSSD).
- Mixed-effects models analyzed workload's impact on communication frequency and surgical phase duration.
Main Results:
- Case-relevant communication peaked during bypass initiation/discontinuation; case-irrelevant communication was highest during final closure.
- Increased personal workload correlated with less case-irrelevant communication, but increased team workload correlated with more case-irrelevant communication from others.
- Both workload and case-relevant communication significantly influenced surgical phase length.
Conclusions:
- Intraoperative communication patterns are dynamically linked to physiological workload.
- Combining observational data with physiological workload indicators offers a promising method for studying OR team dynamics.
- Further research is needed to refine these methods for enhancing surgical team performance.
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