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Updated: May 11, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Published on: May 20, 2018

Dual-console robotic surgery: a new teaching paradigm.

Ashlee L Smith1, Eirwen M Scott, Thomas C Krivak

  • 1Department of Gynecologic Oncology, Magee-Womens Hospital of UPMC, 300 Halket St., Pittsburgh, PA 15213 USA.

Journal of Robotic Surgery
|May 25, 2013
PubMed
Summary

The dual-console robotic system allows effective training in gynecologic surgery. This system enables integrated teaching without negatively impacting operative times or patient outcomes.

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Area of Science:

  • Minimally Invasive Gynecologic Surgery
  • Robotic Surgery Training
  • Surgical Technology

Background:

  • Robotic surgery is a key alternative in minimally invasive gynecologic procedures.
  • The dual-console da Vinci Si Surgical System facilitates novel training environments.
  • Evaluating its use in a training setting is crucial for adoption.

Purpose of the Study:

  • To investigate operative times and surgical outcomes using the dual-console robotic system in a training environment.
  • To assess the feasibility and safety of the dual-console model for gynecologic procedures.
  • To compare outcomes with historical data from single-console systems.

Main Methods:

  • Analysis of the first fifty robot-assisted total hysterectomy (TRH) cases using the dual-console system.
Keywords:
Dual-consoleRobotic surgeryTeaching program

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  • Inclusion of procedures with or without bilateral salpingo-oophorectomy (BSO) and/or pelvic and para-aortic lymph node dissection (PPALND).
  • Review of patient demographics, surgical details, operative time, and patient outcomes.
  • Main Results:

    • Mean total operating room time was 188.8 minutes (SD 55.31).
    • Mean total surgical time was 118.1 minutes (SD 44.28).
    • Two vascular injuries occurred, with one conversion to laparotomy; outcomes compared favorably to single-console systems.

    Conclusions:

    • The dual-console robotic system supports an integrated teaching and supervising environment.
    • Its use does not compromise operative times or patient outcomes in gynecologic surgery training.
    • This model offers a viable approach for training surgeons in robotic minimally invasive procedures.