Background The aim of this study was to assess performance measurement validity of our newly developed robotic surgery task trainer. We hypothesized that residents would exhibit wide variations in their intercohort performance as well as a measurable difference compared to surgeons in fellowship training. Materials and methods Our laboratory synthesized a model of a pelvic tumor that simulates unexpected bleeding. Surgical residents and fellows of varying specialties completed a demographic survey and were allowed 20 minutes to resect the tumor using the da Vinci robot and achieve hemostasis. At a standardized event in the simulation, venous bleeding began, and participants attempted hemostasis using suture ligation. A motion tracking system, using electromagnetic sensors, recorded participants’ hand movements. A postparticipation Likert scale survey evaluated participants’ assessment of the model's realism and usefulness. Results Three of the seven residents (postgraduate year 2-5), and the fellow successfully resected the tumor in the allotted time. Residents showed high variability in performance and blood loss (125-700 mL) both within their cohort and compared to the fellow (150 mL blood). All participants rated the model as having high realism and utility for trainees. Conclusions The results support that our bleeding pelvic tumor simulator has the ability to discriminate resident performance in robotic surgery. The combination of motion, decision-making, and blood loss metrics offers a multilevel performance assessment, analyzing both technical and decision-making abilities.
- Robotic surgery
- Surgical education
All Science Journal Classification (ASJC) codes