Although research on the effects of visual occlusions during minimally invasive surgery has been predominantly focused on laparoscopic surgery, the robotic OR also has similar problems when trying to maintain visual acuity [7, 8]. The calculated p-value states that there is a statistically significant difference between the clear vision and suboptimal vision time across each case. This study found that considerable amount (58.7%) of the total case observation time was spent under compromised visualization. 6 (29%) of the cases showed that over 90% of observation time was spent under suboptimal vision, suggesting there are certain scenarios in which lens obscuration is a substantial problem. The progression chart shown in Fig. 1 is a critical representation of the overall findings in the OR and graphically displays surgeons’ decision-making output when encountering debris events. This figure shows that 107 (86%) debris events were not cleaned within the first two minutes of being encountered. Additionally, it can be seen that 16 (76%) of the cases ended with a dirty lens and 49 out of the 124 (40%) of the lens occlusion events were seen as ignored (meaning they were not followed by a cleaning event). Alternatively, only 2 (9.5%) of the cases showed that under 10% of the observation time was spent under suboptimal vision and in these cases, 100% of the observation time was spent under clear vision with no cleaning or debris events occurring. Of note, these two cases were hysterectomies both performed by a surgeon specializing in OB/GYN.
Based on the subset of cleaning analysis across 8 cases, average cleaning time was 1.44 minutes making up 1.36% of the entire average case observation time. While this makes up a small percentage of total time, we did find that times varied on level of assistant experience. Having OR technicians with less experience led to higher cleaning times and more errors when cleaning the scope. Whether or not this affected patient safety is beyond the scope of this study, but it did add slightly to the overall operative time.
As shown in Fig. 2, debris spread was also tracked in order to see which locations have the most accumulation of debris. Coverage of the monitor display with debris was fairly consistent across each grid cell indicated by the low standard deviation. The cells with the maximum difference from the mean are located on the bottom corners. Similarly, Fig. 3 illustrates the amount of the debris coverage of the monitor tolerated before the cleaning was performed. It was observed that 17 cleaning events (68%) were correlated to instances in which 50% of the monitor was covered by debris. As seen in Fig. 4, cautery was shown to be the most frequent (45%) cause of debris accumulation on the scope lens followed by bodily fluids (35%). Finding the common causes of debris may allow for a better understanding of how to prevent/address lens occlusions while providing insights on what features future cleaning technologies should target.
Lens occlusions is a significant problem in ORs that can result in interruptions and disruptions to the surgical flow during an operation that may subsequently worsen surgeons’ mental focus [12]. As a reaction to these interruptions, surgeons and OR staff can either choose to ignore the lens occlusions and work with impaired vision or take time to clean the scope. Surgeons have to make a real-time decision based on the state of surgery and the benefit of cleaning in order to not waste additional time or resources. Although the possible effects lens occlusions have on patient safety are currently unknown, it is generally accepted that over time, these decisions may exacerbate decision fatigue [16]. Patient safety is likely tied to surgeon visualization and amount of decision fatigue. However, minimizing decision fatigue is reason enough to strive to minimize lens occlusions during operations.
Despite our findings, there are a few limitations that should be noted. These include the heterogeneity of the cases observed and being a single institution study. The heterogeneity of cases introduces a wide variety of variables such as the length of the case, complexity of the case, surgical staff involved, and the experience of personnel, which speaks to the large standard deviation for suboptimal time. However, the heterogeneity of the cases leads to a more robust and diversified sample set. Additionally, it should be noted the monitor display has three different display screens (one for each eye of the lens and the surgeon console). The surgeon console includes combined views of the two lenses and added 3D visualization, which may result in lens occlusions appearing somewhat different from the external bedside screens. The surgeon also has the ability to toggle between eye views which may improve visualization versus the assistant monitors. Comparisons of the display of the console to the monitor to see how lens occlusions appear to the operator of the console and the rest of the team relying solely on the monitor displays is also needed to better understand surgeons’ decision-making process regarding cleaning relative to lens obscuration thresholds.