Assessment of Situation Awareness during Robotic Surgery using Multimodal Data

Lechappe, Aurelien; Chollet, Mathieu; Rigaud, J.; Cao, Caroline G. L.

doi:10.1145/3395035.3425205

Cited by 8 publications

(13 citation statements)

References 31 publications

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“…Two studies did not declare the sample size. 24,31 Eighteen studies (n = 18/81, 22%) did not specify the role or level of the surgeon. Where the surgeon role was specified, studies most commonly measured the sabermetrics of individual trainee surgeons (n = 17/81, 21%).…”

Section: Participantsmentioning

confidence: 99%

“…Of the 81 studies, the majority were conducted in simulation (n = 48/81, 63%), compared with real surgery (n = 32/81, 40%) (Supplemental Table 1, Supplemental Digital Content 1, http://links.lww.com/SLA/E999). A single study 24 compared simulation and real surgery. The majority of surgical modalities were minimally invasive (n = 52/81, 64%) or open surgery (n = 18/81, n = 21%), with the remaining studies incorporating a combination of surgery modalities or generic surgical skills.…”

Section: Study Setting and Surgical Modalitymentioning

confidence: 99%

“…7,22 Examples of physiological indicators include electrodermal activity (EDA), electroencephalography (EEG), and heart rate variability (HRV). 23,24 Previous reports on nontechnical skills in surgery have been conducted in the context of human assessments of behavior, 25 surgical education, 25 human factors considerations, 26 and cognitive load measurement. 26 The rise of technology presents a remarkable opportunity to explore the application of measuring nontechnical skills in a surgical context, yet the extent of its utilization remains unclear.…”

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confidence: 99%

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Surgical Sabermetrics

Howie,

Ambler,

Gunn

et al. 2024

Annals of Surgery

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Objective: To evaluate the current evidence for surgical sabermetrics: digital methods of assessing surgical non-technical skills and investigate the implications for enhancing surgical performance. Background: Surgeons need high-quality, objective, and timely feedback to optimise performance and patient safety. Digital tools to assess non-technical skills have potential to reduce human bias and aid scalability. However, we do not fully understand which of the myriad of digital metrics of performance assessment have efficacy for surgeons. Methods: A systematic review was conducted by searching PubMed, EMBASE, CINAHL, and PSYCINFO databases following PRISMA-ScR guidelines. MeSH terms and keywords included “Assessment” “Surgeons” and “Technology”. Eligible studies included digital assessment of non-technical skills for surgeons, residents, and/or medical students within an operative context. Results: From 19,229 articles screened, 81 articles met inclusion criteria. The studies varied in surgical specialities, settings, and outcome measurements. A total of 122 distinct objective, digital metrics were utilized. Studies digitally measured at least one category of surgical non-technical skill using single(n=54) or multiple objective measures(n=27). The majority of studies utilised simulation(n=48) over live operative settings (n=32). Surgical Sabermetrics has been demonstrated to be beneficial in measuring cognitive load(n=57), situation awareness(n=24), communication(n=3), teamwork(n=13), and leadership(n=2). No studies measured intraoperative decision-making. Conclusions: The literature detailing the intersection between surgical data science and operative non-technical skills is diverse and growing rapidly. Surgical Sabermetrics may provide a promising modifiable technique to achieve desirable outcomes for both the surgeon and the patient. This study identifies a diverse array of measurements possible with sensor devices and highlights research gaps, including need for objective assessment of decision-making. Future studies may advance the integration of physiological sensors to provide holistic assessment of surgical performance.

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Section: Participantsmentioning

confidence: 99%

Section: Study Setting and Surgical Modalitymentioning

confidence: 99%

mentioning

confidence: 99%

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Surgical Sabermetrics

Howie,

Ambler,

Gunn

et al. 2024

Annals of Surgery

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“…On the opposite, they mention the possible impact of the contribution on safety (e.g. healthcare [28]) or the potential to improve safety (without assessing it [50] or for a non-existing system using Wizard of Oz techniques [53]).…”

Section: Dependability and Safety At Icmimentioning

confidence: 99%

Dependability and Safety: Two Clouds in the Blue Sky of Multimodal Interaction

Palanque

Navarre

2021

Proceedings of the 2021 International Conference on Multimodal Interaction

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The research field of multimodal interactions has been extremely good at evolving to address new challenges over the years. Those challenges can be expressed in terms of properties, in terms of technologies and devices and in terms of context of use. However, research on Multimodal Interactions has overlooked Safety and Dependability aspects and we argue that this is the reason why deployment of multimodal interactions in industrial setting is below the expected level considering their unquestionable benefits. This Blue Sky paper analyses ICMI contributions on safety and dependability over the years and highlights both research challenges and contributions from other disciplines that could foster research on these aspects and favor deployment of multimodal interactions in industrial and critical contexts.

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“…We proposed a novel framework for understanding SA in RAS contexts, and modeled SA and its relationship with measurable multimodal variables, such as communication, mental workload (MW), stress, heart rate and skin conductance [18]. In this model (Fig.…”

Section: Model and Hypothesismentioning

confidence: 99%

Using Multimodal Data to Predict Surgeon Situation Awareness

Lechappe

Chollet

Rigaud

et al. 2021

Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

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The use of robotic surgical systems creates new team dynamics in operating rooms and constitutes a major challenge for the development of crucial non-technical skills such as situation awareness (SA). Techniques for assessing SA mostly rely on subjective assessments, observation or interviews; few utilize multimodal measures that combine physiological, behavioural, and subjective indicators. We proposed a conceptual model relating situation awareness with mental workload (MW), stress and communication. To validate this model, we collected subjective feedback, measurable behaviours and physiological signals from surgeons performing a robot-assisted radical prostatectomy procedure. Preliminary results suggest that subjective MW is a better indicator of SA than subjective stress. Physiological measures did not correlate with subjective measures of stress and MW. Results also suggest that some indicators of communication quality associated with various levels of SA tend to be linked with surgical complexity.

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Assessment of Situation Awareness during Robotic Surgery using Multimodal Data

Cited by 8 publications

References 31 publications

Surgical Sabermetrics

Surgical Sabermetrics

Dependability and Safety: Two Clouds in the Blue Sky of Multimodal Interaction

Using Multimodal Data to Predict Surgeon Situation Awareness

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