Resuscitation during robotic-assisted pelvic surgery: impact of simulation training and system-specific factors

Intraoperative cardiac arrest during robotic-assisted surgery is rare but poses challenges due to limited patient access and the need for undocking. Evidence on structured team training and system-specific factors affecting time to cardiopulmonary resuscitation (CPR) remains limited. This prospective single-center simulation study evaluated six multidisciplinary teams managing standardized cardiac arrest scenarios with the daVinci® and HugoRAS® system. Teams completed three simulations: an unannounced baseline scenario, a second scenario following structured debriefing and introduction of a standardized emergency flowchart, and a third scenario after 3–5 months to assess skill retention. Primary endpoint was time to CPR initiation. Secondary endpoints were protocol adherence and undocking time. Repeated training significantly reduced time to CPR (58.2 ± 26.2 s vs. 31.8 ± 8.9 s; p = 0.03) and improved compliance with the emergency flowchart (p = 0.03). While overall time to CPR initiation did not differ between robotic systems (daVinci®: 48.0 ± 23.5 vs. HugoRAS®: 43.2 ± 16.1, p = 0.6), undocking time was significantly shorter with the daVinci® compared to the HugoRAS® system (20.8 ± 2.4 s vs. 41.0 ± 7.5 s; p < 0.001). Undocking phase accounted for 48.9 ± 14.0% of the time leading up to the CPR in DaVinci® and 69.8 ± 13.1% in HugoRAS®. Simulation-based multidisciplinary team training may improve resuscitation performance during robotic-assisted surgery. Undocking was the main source of delay with system-specific differences. Standardized emergency protocols and regular simulation training should be implemented to enhance patient safety in robotic operating rooms.

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Publication Details

Journal
Journal of Robotic Surgery
Published
2026-04-13
DOI
https://doi.org/10.1007/s11701-026-03399-1
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Resuscitation during robotic-assisted pelvic surgery: impact of simulation training and system-specific factors

Roman Herout, Martin Baunacke, Sherif Mehralivand, Thea Koch et al.
Journal of Robotic Surgery
Simulation-Based Education in Healthcare
article

Resuscitation during robotic-assisted pelvic surgery: impact of simulation training and system-specific factors

Roman Herout, Martin Baunacke, Sherif Mehralivand, Thea Koch, Anke Hübler, Fabian Hensel, Robert Benedikt Hoeh, Christian Thomas, Felix Niebhagen, Anne Weber
article en

Abstract

Intraoperative cardiac arrest during robotic-assisted surgery is rare but poses challenges due to limited patient access and the need for undocking. Evidence on structured team training and system-specific factors affecting time to cardiopulmonary resuscitation (CPR) remains limited. This prospective single-center simulation study evaluated six multidisciplinary teams managing standardized cardiac arrest scenarios with the daVinci® and HugoRAS® system. Teams completed three simulations: an unannounced baseline scenario, a second scenario following structured debriefing and introduction of a standardized emergency flowchart, and a third scenario after 3–5 months to assess skill retention. Primary endpoint was time to CPR initiation. Secondary endpoints were protocol adherence and undocking time. Repeated training significantly reduced time to CPR (58.2 ± 26.2 s vs. 31.8 ± 8.9 s; p = 0.03) and improved compliance with the emergency flowchart (p = 0.03). While overall time to CPR initiation did not differ between robotic systems (daVinci®: 48.0 ± 23.5 vs. HugoRAS®: 43.2 ± 16.1, p = 0.6), undocking time was significantly shorter with the daVinci® compared to the HugoRAS® system (20.8 ± 2.4 s vs. 41.0 ± 7.5 s; p < 0.001). Undocking phase accounted for 48.9 ± 14.0% of the time leading up to the CPR in DaVinci® and 69.8 ± 13.1% in HugoRAS®. Simulation-based multidisciplinary team training may improve resuscitation performance during robotic-assisted surgery. Undocking was the main source of delay with system-specific differences. Standardized emergency protocols and regular simulation training should be implemented to enhance patient safety in robotic operating rooms.

Journal of Robotic SurgeryVol. 20(1)
University Hospital Carl Gustav Carus (DE), Technische Universität Dresden (DE)
Technische Universität Dresden
Gender equality
Openalex Percentile: Top 14%
Simulation-Based Education in Healthcare
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