Medical malpractice in robotic surgery: a Westlaw database analysis.
Emma De RavinElizabeth A SellJason G NewmanKarthik RajasekaranPublished in: Journal of robotic surgery (2022)
Malpractice claims involving robot-assisted surgical procedures have increased more than 250% in the past 7 years compared to the seven years prior. We examined robotic surgery malpractice claims to identify trends in claimed liabilities, describe legal outcomes, and determine strategies to minimize future litigation. The Westlaw legal database was queried retrospectively for U.S. state and federal trials regarding robot-assisted surgical procedures from 2006 to 2013 and 2014 to 2021. Data abstracted from verdict reports included year, state, court type, defendant specialty, procedure performed, claimed injuries and liabilities, verdict, and damage amount awarded. Sixty-one cases across 25 states were identified, 16 cases between 2006 and 2013, and 45 from 2014 to 2021. Among those 45 cases, defendant verdicts predominated (n = 35, 77.8%), with only four plaintiff verdicts (8.9%) and six settlements (13.3%). Overall, 169 liabilities were claimed, most commonly negligent surgery (82.2%), misdiagnosis/failure to diagnose (46.7%), delayed treatment (35.6%), and lack of informed consent (31.1%). Thirteen cases resulted in indemnity payments (mean = $1,251,274), with damages ranging from $10,087 (infection and retained foreign body) to $5,008,922 (patient death). Hysterectomy (n = 19, 42.2%) was the most commonly litigated surgery, followed by prostatectomy (n = 5) and hernia repair (n = 4). The most litigated specialties were obstetrics/gynecology (48.9%), general surgery (28.9%), and urology (15.6%). Malpractice litigation in robot-assisted surgery is infrequent. As robotic procedures become more commonplace, surgeons must keep common liabilities in mind, as there are valuable and actionable lessons to be learned from these cases. Malpractice reform, continuing medical education activities, and improved informed consent protocols may help minimize future litigation.