INTRODUCTION: The goal of the study is to evaluate and report on the third-generation da Vinci surgical (Si) system malfunctions. METHODS: A total of 1228 robotic surgeries were performed between January 2012 and December 2015 at our academic centre. All cases were performed by using a single, dual console, four-arm, da Vinci Si robot system. The three specialties included urology, gynecology, and thoracic surgery. Studied outcomes included the robotic surgical error types, immediate consequences, and operative side effects. Error rate trend with time was also examined. RESULTS: Overall robotic malfunctions were documented on the da Vinci Si systems event log in 4.97% (61/1228) of the cases. The most common error was related to pressure sensors in the robotic arms indicating out of limit output. This recoverable fault was noted in 2.04% (25/1228) of cases. Other errors included unrecoverable electronic communication-related in 1.06% (13/1228) of cases, failed encoder error in 0.57% (7/1228), illuminator-related in 0.33% (4/1228), faulty switch in 0.24% (3/1228), battery-related failures in 0.24% (3/1228), and software/hardware error in 0.08% (1/1228) of cases. Surgical delay was reported only in one patient. No conversion to either open or laparoscopic occurred secondary to robotic malfunctions. In 2015, the incidence of robotic error rose to 1.71% (21/1228) from 0.81% (10/1228) in 2014. CONCLUSIONS: Robotic malfunction is not infrequent in the current era of robotic surgery in various surgical subspecialties, but rarely consequential. Their seldom occurrence does not seem to affect patient safety or surgical outcome.
INTRODUCTION: The goal of the study is to evaluate and report on the third-generation da Vinci surgical (Si) system malfunctions. METHODS: A total of 1228 robotic surgeries were performed between January 2012 and December 2015 at our academic centre. All cases were performed by using a single, dual console, four-arm, da Vinci Si robot system. The three specialties included urology, gynecology, and thoracic surgery. Studied outcomes included the robotic surgical error types, immediate consequences, and operative side effects. Error rate trend with time was also examined. RESULTS: Overall robotic malfunctions were documented on the da Vinci Si systems event log in 4.97% (61/1228) of the cases. The most common error was related to pressure sensors in the robotic arms indicating out of limit output. This recoverable fault was noted in 2.04% (25/1228) of cases. Other errors included unrecoverable electronic communication-related in 1.06% (13/1228) of cases, failed encoder error in 0.57% (7/1228), illuminator-related in 0.33% (4/1228), faulty switch in 0.24% (3/1228), battery-related failures in 0.24% (3/1228), and software/hardware error in 0.08% (1/1228) of cases. Surgical delay was reported only in one patient. No conversion to either open or laparoscopic occurred secondary to robotic malfunctions. In 2015, the incidence of robotic error rose to 1.71% (21/1228) from 0.81% (10/1228) in 2014. CONCLUSIONS: Robotic malfunction is not infrequent in the current era of robotic surgery in various surgical subspecialties, but rarely consequential. Their seldom occurrence does not seem to affect patient safety or surgical outcome.
Authors: Sero Andonian; Zeph Okeke; Deidre A Okeke; Ardeshir Rastinehad; Brian A Vanderbrink; Lee Richstone; Benjamin R Lee Journal: Can J Urol Date: 2008-02 Impact factor: 1.344
Authors: Jason D Wright; Ana I Tergas; June Y Hou; William M Burke; Ling Chen; Jim C Hu; Alfred I Neugut; Cande V Ananth; Dawn L Hershman Journal: JAMA Surg Date: 2016-07-01 Impact factor: 14.766