Novel workflow analysis of robot-assisted hysterectomy through objective performance indicators: a pilot study

Area of Science:

• Robotics in Surgery
• Surgical Education
• Gynecologic Surgery

Background:

• Standardized objective assessments for da Vinci surgical training in gynecology are lacking.
• Current training relies on subjective evaluations, hindering skill development.

Purpose of the Study:

• To present a novel methodology for evaluating intraoperative surgeon behavior during robot-assisted hysterectomy.
• To establish objective performance indicators (OPIs) from robotic data streams for skill assessment.

Main Methods:

• Collected surgical data from six robot-assisted total laparoscopic hysterectomies (rTLH).
• Segmented surgical videos into functional steps and calculated OPIs.
• Compared OPIs across surgeons for colpotomy and vaginal cuff closure steps.

Main Results:

• Observed unique surgeon behavior signatures through workflow analysis.
• Found significant differences in OPIs (energy usage, clutching) between surgeons.
• Identified significant differences in step time and energy use events (p < 0.001).

Conclusions:

• The proposed methodology enables objective analysis and comparison of rTLH procedures.
• This approach can standardize gynecologic surgical training and inform individualized learning plans.
• Further research is needed to contextualize these metrics in gynecologic surgery.