Scientific article
Open access

Teaching and learning robotic surgery at the dual console: a video-based qualitative analysis

Publication date2021

Robotic-assisted surgery (RAS) involves training processes and challenges that differ from open or laparoscopic surgery, particularly regarding the possibilities of observation and embodied guidance. The video recording and the dual-console system creates a potential opportunity for participation. Our research, conducted within the department of visceral surgery of a big Swiss, public, academic hospital, uses a methodology based on the co-analysis of video recordings with surgeons in self-confrontation interviews, to investigate the teaching activity of the lead surgeon supervising a surgeon in training at the dual console. Three short sequences have been selected for the paper. Our analysis highlights the skills-in-construction of the surgeon in training regarding communication with the operating team, fluency of working with three hands, and awareness of the whole operating site. It also shows the divergent necessities of enabling verbalization for professional training, while ensuring a quiet and efficient environment for medical performance. To balance these requirements, we argue that dedicated briefing and debriefing sessions may be particularly effective; we also suggest that the self-confrontation video technique may be valuable to support the verbalization on both the mentor's and the trainee's side during such debriefing, and to enhance the mentor's reflexivity regarding didactic choices.

  • Activity analysis
  • Dual console
  • Learning robotic-assisted surgery
  • Teaching robotic-assisted surgery
  • Video-based analysis
Citation (ISO format)
CRISTOFARI, Hélène et al. Teaching and learning robotic surgery at the dual console: a video-based qualitative analysis. In: Journal of Robotic Surgery, 2021. doi: 10.1007/s11701-021-01224-5
Main files (1)
Article (Published version)
ISSN of the journal1863-2483

Technical informations

Creation03/30/2021 4:04:00 PM
First validation03/30/2021 4:04:00 PM
Update time03/16/2023 1:21:04 AM
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