Literature DB >> 19655337

Establishing a training program for residents in robotic surgery.

Jeremiah J Moles1, Patricia E Connelly, Evan E Sarti, Soly Baredes.   

Abstract

OBJECTIVES/HYPOTHESIS: To develop a program for teaching robotic skills to residents. To assess the development of proficiency in basic robotic surgical skills in a resident cohort. STUDY
DESIGN: Prospective educational project using a commercially available surgical robot. Residents use a surgical robot to complete a designated set of tasks intended to simulate surgical maneuvers. Performance is analyzed for errors and total time of procedure.
METHODS: Otolaryngology residents are introduced to robotic surgery with a tutorial on the usage of the da Vinci Surgical System (Intuitive Surgical, Inc., Sunnyvale, CA). Participants perform defined exercises accomplishing the following tasks: circular pin transfer, simultaneous bimanual carrying, precision bead drop, needle passing, and suture tying. Performance of these tasks can be quantitatively assessed.
RESULTS: An educational program for teaching residents basic robotic skills can easily be introduced into a residency program. Resident progress in acquiring robotic surgical skills can be measured. The analysis of variance for composite score revealed statistically significant effects for task (F(4,24) = 8.11, P < .01) and trial (F(2,12) = 5.71, P < .01).
CONCLUSIONS: Robotic surgery will likely become an integral part of otolaryngologic surgical practice. Training programs in robotic surgery need to be formally established in residency programs. We present a preliminary program for introducing robotic surgical skills in residency training.

Entities:  

Mesh:

Year:  2009        PMID: 19655337     DOI: 10.1002/lary.20508

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  8 in total

1.  Development and testing of a robotic surgical training curriculum for novice surgeons.

Authors:  Sondra Summers; Jennifer Anderson; Amy Petzel; Megan Tarr; Kimberly Kenton
Journal:  J Robot Surg       Date:  2014-09-16

Review 2.  Simulation-based training in robot-assisted surgery: current evidence of value and potential trends for the future.

Authors:  Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru
Journal:  Curr Urol Rep       Date:  2015-06       Impact factor: 3.092

Review 3.  Learning tools and simulation in robotic surgery: state of the art.

Authors:  Nicolas C Buchs; François Pugin; Francesco Volonté; Philippe Morel
Journal:  World J Surg       Date:  2013-12       Impact factor: 3.352

4.  Introductory TORS training in an otolaryngology residency program.

Authors:  Judd H Fastenberg; Marc J Gibber; Richard V Smith
Journal:  J Robot Surg       Date:  2018-02-07

5.  Robotics in otolaryngology and head and neck surgery: Recommendations for training and credentialing: A report of the 2015 AHNS education committee, AAO-HNS robotic task force and AAO-HNS sleep disorders committee.

Authors:  Neil D Gross; F Christopher Holsinger; J Scott Magnuson; Umamaheswar Duvvuri; Eric M Genden; Tamer Ah Ghanem; Kathleen L Yaremchuk; David Goldenberg; Matthew C Miller; Eric J Moore; Luc Gt Morris; James Netterville; Gregory S Weinstein; Jeremy Richmon
Journal:  Head Neck       Date:  2016-03-07       Impact factor: 3.147

6.  Objective assessment in residency-based training for transoral robotic surgery.

Authors:  Martin Curry; Anand Malpani; Ryan Li; Thomas Tantillo; Amod Jog; Ray Blanco; Patrick K Ha; Joseph Califano; Rajesh Kumar; Jeremy Richmon
Journal:  Laryngoscope       Date:  2012-08-22       Impact factor: 3.325

7.  The Influence of Intraoperative Technology on Neurosurgery Training.

Authors:  Alison Ho; Yasir R Khan; Eric Whitney; Anthony Jg Alastra; Javed Siddiqi
Journal:  Cureus       Date:  2019-09-26

8.  A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery.

Authors:  Juan Antonio Barragan; Jing Yang; Denny Yu; Juan P Wachs
Journal:  Sci Rep       Date:  2022-03-16       Impact factor: 4.379

  8 in total

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