title: Navigating credentialing, privileging, and learning curves in robotics with an evidence and experienced-based approach.
abstract: The rapid growth of robot-assisted surgery has created new challenges for hospitals to establish credentialing guidelines for new surgeons. Developing and maintaining these skills requires frequent practice. Borrowing from the aviation model that requires maintaining currency and demonstrating proficiency, robotic credentialing guidelines are being developed that will enable hospitals to insure patient safety and optimal outcomes. The utilization of computerized robotic simulators will, like flight simulators, also help surgeons to maintain and improve skills.
authors.affiliation: Department of Ob-Gyn, University of Washington School of Medicine Robotics and Minimally Invasive Surgery, MultiCare Health Systems, Tacoma, Washington, USA. jplenihan@tacomaobgyn.com
authors.forename: John P
authors.initials: JP
authors.lastname: Lenihan
mesh_terms: D003406:Credentialing; D003625:Data Collection; D019317:Evidence-Based Medicine; D005260:Female; D013509:Gynecologic Surgical Procedures / Q000379:methods*; D006801:Humans; D059032:Learning Curve; D017145:Models, Educational; D017410:Practice Guidelines as Topic; D012371:Robotics / Q000193:education*