Liability
A recent study by De Ravin and colleagues of robotic surgery liability found a 250% increase in the total number of robotic surgery–related malpractice claims reported in 7 recent years (2014-2021), compared with the prior 7 (2006-2013).24 However, the number of cases varied considerably from year to year. ObGyn had the most significant gain (from 19% to 49% of all claims). During the same time, urology claims declined from 56% to 16%. (The limitations of the study’s data are discussed later in this article.)
De Ravin et al reported the legal bases for the claims, but the specific legal claim was unclear in many cases.24 For example, the vast majority were classified as “negligent surgery.” Many cases made more than 1 legal claim for liability, so the total percentages were greater than 100%. Of the specific claims, many appear unrelated to robotic surgery (misdiagnosis, delayed treatment, or infection). However, there were a significant number of cases that raised issues that were related to robotic surgery. The following are those claims that probably relate to the “robotic” surgery, along with the percentage of cases making such a claim as reported24:
- “Patient not a candidate for surgery performed” appeared in about 13% of the cases.24 Such claims could include that the surgeon should have performed the surgery with traditional laparoscopy or open technique, but instead using a robot led to the injury. Physicians may feel pressure from patients or hospitals, because of the equipment’s cost, to use robotic surgery as it seems to be the modern approach (and therefore better). Neither reason is sufficient for using robotic assistance unless it will benefit the patient.
- “Failure to calibrate or operate robot” was in 11% of the claims.24 Physicians must properly calibrate and otherwise ensure that surgical equipment is operating correctly. In addition, the hospitals supplying the equipment must ensure that the equipment is maintained correctly. Finally, the equipment manufacturer may be liable through “products liability” if the equipment is defective.25 The expanding use of artificial intelligence in medical equipment (including surgical robots) is increasing the complexity of determining what “defective” means.11
- “Training deficiencies or credentialing” liability is a common problem with new technology. Physicians using new technology should be thoroughly trained and, where appropriate, certified in the use of the new technology.26 Early adopters of the technology should be especially cautious because good training may be challenging to obtain. In the study, the claims of inadequate training were particularly high during the early 7 years (35%), but dropped during the later time (4%).24
- “Improper positioning” of the patient or device or patient was raised in 7% of the cases.24
- “Manufacturing problems” were claimed in a small number of cases—13% in 2006-2013, but 2% in 2014-2021.24 These cases raise the complex question of products liability for robotic surgery and artificial intelligence (AI). Products liability has been part of surgical practice for many years. There usually will be liability if there are “defects” in a product, whether or not resulting from negligence. What a “defect” in a computer program means is a complicated issue that will be significant in future liability cases.27
Several other cases reported in the De Ravin study were probably related to robotic surgery. For example, Informed Consent and Failure to Monitor each appeared in more than 30%, of 2014-2021 cases, and Failure to Refer in 16% of the cases.24,27
The outcomes of the reported cases were mostly verdicts (or trial-related settlements) for defendants (doctors and hospitals). The defense prevailed 69% of the time in the early period and 78% of the time in 2014-2021. However, there were substantial damages in some cases. The range of damages in 2006-2013 was $95,000 to $6 million (mean, $2.5 million); in 2014-2021, it was $10,000 to $5 million (mean, $1.3 million).24
An earlier study looked at reported cases against Intuitive Surgical, maker of the daVinci system, from 2000-2017.28 Of the 108 claims in the study, 62% were gynecologic surgeries. Of these claims, 35% were dismissed, but “no other information regarding settlements or trial outcomes was available.” The study did not report the basis for the lawsuits involving gynecologic surgeries.
We should exercise caution in reviewing these studies. Although the studies were of considerable value, the authors note significant limitations of the databases available. The database was Westlaw in the first study discussed (“Robotic surgery: the impact”24) and Bloomberg in the second (“Robotic urologic”28). For example, the “impact” study was based on “jury verdict reports” excluding settlements, and the latter excluded class actions and cases settled. Thus the studies undoubtedly understated the number of claims made (those that resulted in settlement before a lawsuit was filed), cases filed but abandoned, and settlements made before trial.
Despite these limitations, the studies provide valuable insights into current malpractice risks and future directions. It is worth remembering that these cases nearly all involved a single robot, the daVinci, produced by Intuitive Surgical. It is not a “smart” robot and is commonly referred to as a “master-slave” machine. With much more intelligent and independent machines, the future will raise more complex problems in the FDA approval process and malpractice and product liability claims when things go wrong.
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