C11158: Metrics for Comparative Longitudinal Analysis and Methods for Feedback to Trainee Surgeons
Value Proposition:
Methods for training new robotic surgeons and evaluating robotic surgery skill are now actively being developed. However, existing art is limited by a) lack of distinction between surgical skill, and robotic system operation skills, and b) lack of the ability to track development of these skills. Compared to skill quantification reported in the literature, we investigate skill development and longitudinal assessment. Such assessment will be key for developing feedback methods to robotic surgery trainees. We aim to separately investigate automated methods for surgical and system skill development and assessment, including creation of ground truth for such methods using manual expert assessment of clinical skill using methods such as Objective Structured Assessment of Technical Skill (OSATS) evaluations. Here, we report the design of our multi-center longitudinal study, and present our initial assessment of the surgical and system skill scale ranging from non-clinical users to robotic surgery experts highlighting significant differences.
Technical Details:
Johns Hopkins University inventors disclose metrics for comparing performance between two training sessions, and methods for providing interactive and offline feedback for a trainee surgeon based on video and motion data collected from the training session.
Looking for Partners:
Surgical Skill Assessment in Robotic Surgery
