Impact of robotic single and dual console systems in the training of minimally invasive gynecology surgery (MIGS) fellows

Mateo G. Leon, Aakriti R. Carrubba, Christopher C. DeStephano, Michael G. Heckman, Emily C. Craver, Tri A. Dinh

Research output: Contribution to journalArticlepeer-review


The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, surgical steps performed, and surgical takeovers between attending and fellow surgeons using dual versus single console robotic systems. Participants included minimally invasive gynecologic surgery (MIGS) fellows (N = 3) and subspecialty trained gynecologic surgeons (N = 5). Prospective data were obtained on 126 patients (N = 77 single console, N = 49 dual console) undergoing robotic hysterectomy. Variables included demographics, surgical characteristics (fellow, month of fellowship, attending surgeon, concomitant oophorectomy, additional surgical procedures, estimated blood loss, specimen weight), and outcomes (console time, docking time, console time/docking time ratio, total case time, number of surgical steps performed by the fellow, number of surgical takeovers, complications). After controlling for potential confounders, fellows spent a mean of 25.8 min longer (P < 0.001) at the console in dual console operations compared to single. Dual console surgeries had a greater number of steps performed by the fellow (OR[> 5 steps]: 3.37, P = 0.009), a higher console time/docking time ratio (P < 0.001), and more surgical takeovers between fellow and attending (OR [> 1 takeover]: 3.53, P < 0.001). There were no significant differences between the two groups regarding docking time (P = 0.15), case time (P = 0.79), or complications (P = 0.30). Our findings suggest dual console robotic training provide fellows the opportunity for more “hands-on” experience with longer console time, higher number of surgical steps performed, and added interaction with the attending surgeon when compared with single console training. These surgical metrics provide objectivity in competency-based robotic training without increasing the complications or surgical time.

Original languageEnglish (US)
Pages (from-to)1273-1280
Number of pages8
JournalJournal of Robotic Surgery
Issue number6
StatePublished - Dec 2022


  • Competency-based education
  • Dual console
  • Robotic-assisted surgery
  • Surgical metrics
  • Surgical training

ASJC Scopus subject areas

  • Surgery
  • Health Informatics


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