Even in experienced hands the long-term complications of robot-assisted radical cystectomy are notable. Of our patients 23% required surgical interventions after the procedure. Our initial experience with robot-assisted management of robot-assisted radical cystectomy complications appears safe and feasible, although the decision to proceed is determined primarily by surgeon experience.
IntroductionTo evaluate the impact of non-technical skills (NTS) on team performance, workload and clinical outcomes.MethodsThe operating room (OR) environment of 20 robot-assisted radical prostatectomies performed by three different surgeons was recorded. Trained observers assessed NTS utilising the Non-Technical Skills for Surgeons (NOTSS) questionnaire. Associations between NOTSS scores, teamwork attributes (anticipation and inconveniences), workload (measured by National Aeronautics and Space Administration-Task Load Index (NASA-TLX)) and clinical outcomes (operative time, blood loss and surgical complexity) were determined using logistic regression and Pearson correlation.Results1780 requests were observed, 703 (39%) were non-verbal. Utilisation of non-verbal requests differed significantly among surgeons (26%, 36% and 44%, p<0.001). Anticipation was significantly associated with ‘Situational Awareness’ (OR 2.59, 95% CI 1.52 to 4.38, p<0.001), ‘Decision Making’ (OR 0.42, 95% CI 0.33 to 0.55, p<0.001) and ‘Communication and Teamwork’ (OR 0.43, 95% CI 0.25 to 0.74, p=0.002) domains. Inconveniences were significantly associated with ‘Situational Awareness’ (OR 0.21, 95% CI 0.08 to 0.59, p=0.003), ‘Decision Making’ (OR 2.73, 95% CI 1.53 to 4.86, p<0.001), and ‘Leadership’ (OR 0.62, 95% CI 0.41 to 0.94, p=0.03). There was a significant positive correlation between NOTSS scores and perceived physical and mental workload measures of NASA-TLX, as well as self-perceived performance. There was no significant association between NOTSS scores and any of the investigated clinical outcomes.ConclusionNTS in the OR were associated with team efficiency, fewer surgical flow disruptions and an improved self-perceived performance.
Abbreviations & Acronyms BCI = Bladder Cancer Index BF = bowel function CARE = Convalescence and Recovery Evaluation FACT-Bl = Functional Assessment of Cancer Therapy -Bladder HRQoL = health-related quality of life IIEF = International Index of Erectile Function ISC = intermittent selfcatheterization ORC = open radical cystectomy PDE5-I = phosphodiesterase type 5 inhibitor QoL = quality of life RARC = robot-assisted radical cystectomy RC = radical cystectomy
Objective: The aim of this work was to examine (electroencephalogram) EEG features that represent dynamic changes in the functional brain network of a surgical trainee and whether these features can be used to evaluate a robot assisted surgeon’s (RAS) performance and distraction level in the operating room. Materials and Methods: Electroencephalogram (EEG) data were collected from three robotic surgeons in an operating room (OR) via a 128-channel EEG headset with a frequency of 500 samples/second. Signal processing and network neuroscience algorithms were applied to the data to extract EEG features. The SURG-TLX and NASA-TLX metrics were subjectively evaluated by a surgeon and mentor at the end of each task. The scores given to performance and distraction metrics were used in the analyses here. Statistical test data were utilized to select EEG features that have a significant relationship with surgeon performance and distraction while carrying out a RAS surgical task in the OR. Results: RAS surgeon performance and distraction had a relationship with the surgeon’s functional brain network metrics as recorded throughout OR surgery. We also found a significant negative Pearson correlation between performance and the distraction level (−0.37, p-value < 0.0001). Conclusions: The method proposed in this study has potential for evaluating RAS surgeon performance and the level of distraction. This has possible applications in improving patient safety, surgical mentorship, and training.
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