Emergent robotic surgery conversions: improving operating room team performance through high fidelity simulations.

Abstract

Background: Although robotic surgery has gained popularity, safety concerns remain due to potential delay in addressing intraoperative hemorrhages since the surgeon is not at the bedside. This study aimed to test whether a training program for emergency robotic undocking protocols improved the performance of thoracic operating room (OR) teams.

Methods: An emergency undocking protocol and checklists were created for massive hemorrhage during robotic thoracic surgery. In phase I, two OR teams participated in in-situ simulations of the scenarios in the OR without knowledge of the protocols. In phase II, the protocol and checklists were introduced to four different OR teams by either high-fidelity lab simulation or video-based didactic sessions. The teams' performances were tested with in-situ OR simulations. Performance assessments included the number of missed critical steps, participant-reported feedback, and timeliness of crucial steps.

Results: All teams successfully converted from robot-assisted to open, with the attending at bedside within five minutes from the decision to convert, regardless of phase or education type. Phase I (control) teams had an average of 2.55 critical misses per team while the average was 0.25 for phase II teams (P=0.08). There was no significant difference between phases in time required for the surgeon to be at the bedside (average 132.2 seconds, P=0.64).

Conclusions: Targeted education can lead to improved team performance. This study shows that high-fidelity simulation and didactic sessions can both be used to effectively teach emergency undocking protocols.