Gerald Fried, MD

Primary Axis: 
Health Outcomes
Research Focus: 

Minimally invasive surgery provides definitive and durable surgical care, without the injury of access to the target tissue. This is achieved by combining image-guidance (as opposed to direct view) with manipulation of long surgical instruments threaded through fixed ports into the body cavity. This requires a unique set of surgical skills, including extraction of 3D information from a 2D image, working with long instruments with limited degrees of motion placed across a fulcrum, thus limiting tactile information, amplifying tremor, and requiring the hands to move in opposite directions from the desired movement of the instrument tips. We are developing simulation-based training programs, validating metrics to verify proficiency, and assessing learning curves and transfer of training from simulation to reality. Further, we are developing patient-specific simulations from point of care images to allow surgical rehearsal. We are also assessing these innovative procedures in terms of patient outcomes, through novel measures of surgical recovery.

Keywords: 
simulation, minimally invasive surgery, image-guided therapies, surgical recovery, learning curve
Publications:
Sroka G., Feldman L.S., Vassiliou M.C., Kaneva P.A., Fayez R., Fried G.M.: Fundamentals of Laparoscopic Surgery simulator training to proficiency improves laparoscopic performance in the operating room-a randomized controlled trial. American Journal of Surgery. 199(1): 115-120, 2010.
McCluney AL. Vassiliou MC. Kaneva PA. Cao J. Stanbridge DD. Feldman LS. Fried GM. FLS simulator performance predicts intraoperative laparoscopic skill. Surgical Endoscopy. 21(11):1991-1995, 2007.
Feldman LS, Cao J, Andalib A, Fraser S, Fried GM: A method to characterize the learning curve for performance of a fundamental laparoscopic simulator task: Defining "learning plateau" and "learning rate. Surgery 146: 381-386, 2009.