Medicolegal Review of Liability Risks for Gynecologists Stemming from Lack of Training in Robot-Assisted Surgery

Yu L. Lee, Gokhan Kilic, John Phelps

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The advances in robot-assisted surgery in gynecology evolved after most practicing gynecologists had already completed residency training. Postgraduate training in new technology for gynecologists in practice is limited. Therefore, gynecologists with insufficient training who perform robot-assisted surgery may potentially be at risk for liability. In addition to the traditional medical negligence claims, plaintiff attorneys are seeking causes of actions for lack of informed consent and negligent credentialing. Thus, it is essential that gynecologists be aware of these potential liability claims that arise in a robot-assisted malpractice suit. This commentary provides an overview of the current medicolegal liability risks originating from lack of training in robotic surgery and seeks to raise awareness of the implications involved in these claims. A better understanding of the doctrine of informed consent and seeking assistance of proctors or experienced co-surgeons early in robotics training are likely to reduce the liability risks for gynecologic surgeons.

Original languageEnglish (US)
Pages (from-to)512-515
Number of pages4
JournalJournal of Minimally Invasive Gynecology
Volume18
Issue number4
DOIs
StatePublished - Jul 2011

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Malpractice
Robotics
Informed Consent
Credentialing
Lawyers
Internship and Residency
Gynecology
Technology
Surgeons

Keywords

  • Informed consent
  • Insufficient training
  • Lawsuit
  • Negligent credentialing
  • Robotic surgery

ASJC Scopus subject areas

  • Obstetrics and Gynecology

Cite this

Medicolegal Review of Liability Risks for Gynecologists Stemming from Lack of Training in Robot-Assisted Surgery. / Lee, Yu L.; Kilic, Gokhan; Phelps, John.

In: Journal of Minimally Invasive Gynecology, Vol. 18, No. 4, 07.2011, p. 512-515.

Research output: Contribution to journalArticle

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