The compatibility of exoskeletons in perioperative environments and workflows: an analysis of surgical team members' perspectives and workflow simulation.

Surgical team members in perioperative environments experience high physical demands. Interventions such as exoskeletons, external wearable devices that support users, have the potential to reduce these work-related physical demands. However, barriers such as workplace environment and task compatibility may limit exoskeleton implementation. This study gathered the perspectives of 33 surgical team members: 12 surgeons, four surgical residents, seven operating room (OR) nurses, seven surgical technicians (STs), two central processing technicians (CPTs), and one infection control nurse to understand their workplace compatibility. Team members were introduced to passive exoskeletons via demonstrations, after which surgical staff (OR nurses, STs, and CPTs) were led through a simulated workflow walkthrough where they completed tasks representative of their workday. Five themes emerged from the interviews (workflow, user needs, hindrances, motivation for intervention, and acceptance) with unique subthemes for each population. Overall, exoskeletons were largely compatible with the duties and workflow of surgical team members.

The goal of this study was to identify exoskeleton compatibility across various surgical team members through a thematic analysis of interviews and a simulated workflow walkthrough. Results revealed five unique themes (workflow, user needs, hinderances, motivation for intervention, acceptance) and that exoskeletons were largely compatible with daily duties.

Objective Measures of Surgeon Non-Technical Skills in Surgery: A Scoping Review.

OBJECTIVE: The purpose of this study was to identify, synthesize, and discuss objective behavioral or physiological metrics of surgeons' nontechnical skills (NTS) in the literature. BACKGROUND: NTS, or interpersonal or cognitive skills, have been identified to contribute to safe and efficient surgical performance; however, current assessments are subjective, checklist-based tools. Intraoperative skill evaluation, such as technical skills, has been previously utilized as an objective measure to address such limitations. METHODS: Five databases in engineering, behavioral science, and medicine were searched following PRISMA reporting guidelines. Eligibility criteria included studies with NTS objective measurements, surgeons, and took place within simulated or live operations. RESULTS: Twenty-three articles were included in this review. Objective metrics included communication metrics and measures from physiological responses such as changes in brain activation and motion of the eye. Frequencies of content-coded communication in surgery were utilized in 16 studies and were associated with not only the communication construct but also cognitive constructs of situation awareness and decision making. This indicates the underlying importance of communication in evaluating the NTS constructs. To synthesize the scoped literature, a framework based on the one-way communication model was used to map the objective measures to NTS constructs. CONCLUSION: Objective NTS measurement of surgeons is still preliminary, and future work on leveraging objective metrics in parallel with current assessment tools is needed. APPLICATION: Findings from this work identify objective NTS metrics for measurement applications in a surgical environment.

Objective Nontechnical Skills Measurement Using Sensor-based Behavior Metrics in Surgical Teams.

OBJECTIVE: The purpose of this study was to identify objective measures that predict surgeon nontechnical skills (NTS) during surgery. BACKGROUND: NTS are cognitive and social skills that impact operative performance and patient outcomes. Current methods for NTS assessment in surgery rely on observation-based tools to rate intraoperative behavior. These tools are resource intensive (e.g., time for observation or manual labeling) to perform; therefore, more efficient approaches are needed. METHOD: Thirty-four robotic-assisted surgeries were observed. Proximity sensors were placed on the surgical team and voice recorders were placed on the surgeon. Surgeon NTS was assessed by trained observers using the NonTechnical Skills for Surgeons (NOTSS) tool. NTS behavior metrics from the sensors included communication, speech, and proximity features. The metrics were used to develop mixed effect models to predict NOTSS score and in machine learning classifiers to distinguish between exemplar NTS scores (highest NOTSS score) and non-exemplar scores. RESULTS: NTS metrics were collected from 16 nurses, 12 assistants, 11 anesthesiologists, and four surgeons. Nineteen behavior features and overall NOTSS score were significantly correlated (12 communication features, two speech features, five proximity features). The random forest classifier achieved the highest accuracy of 70% (80% F1 score) to predict exemplar NTS score. CONCLUSION: Sensor-based measures of communication, speech, and proximity can potentially predict NOTSS scores of surgeons during robotic-assisted surgery. These sensing-based approaches can be utilized for further reducing resource costs of NTS and team performance assessment in surgical environments. APPLICATION: Sensor-based assessment of operative teams' behaviors can lead to objective, real-time NTS measurement.

Supporting Surgical Teams: Identifying Needs and Barriers for Exoskeleton Implementation in the Operating Room.

OBJECTIVE: The objective of this study was to identify potential needs and barriers related to using exoskeletons to decrease musculoskeletal (MS) symptoms for workers in the operating room (OR). BACKGROUND: MS symptoms and injuries adversely impact worker health and performance in surgical environments. Half of the surgical team members (e.g., surgeons, nurses, trainees) report MS symptoms during and after surgery. Although the ergonomic risks in surgery are well recognized, little has been done to develop and sustain effective interventions. METHOD: Surgical team members (n = 14) participated in focus groups, performed a 10-min simulated surgical task with a commercial upper-body exoskeleton, and then completed a usability questionnaire. Content analysis was conducted to determine relevant themes. RESULTS: Four themes were identified: (1) characteristics of individuals, (2) perceived benefits, (3) environmental/societal factors, and (4) intervention characteristics. Participants noted that exoskeletons would benefit workers who stand in prolonged, static postures (e.g., holding instruments for visualization) and indicated that they could foresee a long-term decrease in MS symptoms with the intervention. Specifically, raising awareness of exoskeletons for early-career workers and obtaining buy-in from team members may increase future adoption of this technology. Mean participant responses from the System Usability Scale was 81.3 out of 100 (SD = 8.1), which was in the acceptable range of usability. CONCLUSION: Adoption factors were identified to implement exoskeletons in the OR, such as the indicated need for exoskeletons and usability. Exoskeletons may be beneficial in the OR, but barriers such as maintenance and safety to adoption will need to be addressed. APPLICATION: Findings from this work identify facilitators and barriers for sustained implementation of exoskeletons by surgical teams.

Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training.

OBJECTIVE: The aim of this study is to assess the relationship between eye-tracking measures and perceived workload in robotic surgical tasks. BACKGROUND: Robotic techniques provide improved dexterity, stereoscopic vision, and ergonomic control system over laparoscopic surgery, but the complexity of the interfaces and operations may pose new challenges to surgeons and compromise patient safety. Limited studies have objectively quantified workload and its impact on performance in robotic surgery. Although not yet implemented in robotic surgery, minimally intrusive and continuous eye-tracking metrics have been shown to be sensitive to changes in workload in other domains. METHODS: Eight surgical trainees participated in 15 robotic skills simulation sessions. In each session, participants performed up to 12 simulated exercises. Correlation and mixed-effects analyses were conducted to explore the relationships between eye-tracking metrics and perceived workload. Machine learning classifiers were used to determine the sensitivity of differentiating between low and high workload with eye-tracking features. RESULTS: Gaze entropy increased as perceived workload increased, with a correlation of .51. Pupil diameter and gaze entropy distinguished differences in workload between task difficulty levels, and both metrics increased as task level difficulty increased. The classification model using eye-tracking features achieved an accuracy of 84.7% in predicting workload levels. CONCLUSION: Eye-tracking measures can detect perceived workload during robotic tasks. They can potentially be used to identify task contributors to high workload and provide measures for robotic surgery training. APPLICATION: Workload assessment can be used for real-time monitoring of workload in robotic surgical training and provide assessments for performance and learning.

A year-long case study of multicomponent interventions to promote physical activity in office workers: A randomized control trial.

The purpose of this study was to identify if workplace interventions, (i.e., mindfulness classes and monetary incentives for gym attendance), influenced workers' physical activity. Office-based participants were randomized into one of four intervention assignments: 1) CONTROL (no interventions) (n = 40), 2) MINDFULNESS (n = 33), 3) GYM INCENTIVE (n = 41), or 4) BOTH mindfulness and gym incentive (n = 31). Activity-tracker and self-reported metabolic expenditure and step counts were gathered between January 2020 and December 2020 whereas the eight-week long interventions were provided between January and March 2020, when the impact of COVID-19 pandemic started. While physical activity decreased during the follow-up months, percent changes of physical activity at 1-, 2-, and 9-month follow-ups compared to baseline show no significant differences between or across the four intervention assignments (p > 0.05). These results suggest that the intervention assignments had no effect on physical activity from baseline. The lack of effectiveness of these interventions on participant physical activity could be attributed to the influence of the COVID-19 pandemic, and any effects of the interventions could not outweigh the effects of the pandemic.

Drinking and driving: A systematic review of the impacts of alcohol consumption on manual and automated driving performance.

INTRODUCTION: Almost a third of car accidents involve driving after alcohol consumption. Autonomous vehicles (AVs) may offer accident-prevention benefits, but at current automation levels, drivers must still perform manual driving tasks when automated systems fail. Therefore, understanding how alcohol affects driving in both manual and automated contexts offers insight into the role of future vehicle design in mediating crash risks for alcohol-impaired driving. METHOD: This study conducted a systematic review on alcohol effects on manual and automated (takeover) driving performance. Fifty-three articles from eight databases were analyzed, with findings structured based on the information processing model, which can be extended to the AV takeover model. RESULTS: The literature indicates that different Blood Alcohol Concentration (BAC) levels affect driving skills essential for traffic safety at various information processing stages, such as delayed reacting time, impaired cognitive abilities, and hindered execution of driving tasks. Additionally, the driver's driving experience, drinking habits, and external driving environment play important roles in influencing driving performance. CONCLUSIONS: Future work is needed to examine the effects of alcohol on driving performance, particularly in AVs and takeover situations, and to develop driver monitoring systems. PRACTICAL APPLICATIONS: Findings from this review can inform future experiments, AV technology design, and the development of driver state monitoring systems.

Evaluation of a passive arm-support exoskeleton for surgical team members: Results from live surgeries.

BACKGROUND: Musculoskeletal symptoms and injuries adversely impact the health of surgical team members and their performance in the operating room (OR). Though ergonomic risks in surgery are well-recognized, mitigating these risks is especially difficult. In this study, we aimed to assess the impacts of an exoskeleton when used by OR team members during live surgeries. METHODS: A commercial passive arm-support exoskeleton was used. One surgical nurse, one attending surgeon, and five surgical trainees participated. Twenty-seven surgeries were completed, 12 with and 15 without the exoskeleton. Upper-body postures and muscle activation levels were measured during the surgeries using inertial measurement units and electromyography sensors, respectively. Postures, muscle activation levels, and self-report metrics were compared between the baseline and exoskeleton conditions using non-parametric tests. RESULTS: Using the exoskeleton significantly decreased the percentage of time in demanding postures (>45° shoulder elevation) for the right shoulder by 7% and decreased peak muscle activation of the left trapezius, right deltoid, and right lumbar erector spinae muscles, by 7%, 8%, and 12%, respectively. No differences were found in perceived effort, and overall scores on usability ranged from "OK" to "excellent." CONCLUSIONS: Arm-support exoskeletons have the potential to assist OR team members in reducing musculoskeletal pain and fatigue indicators. To further increase usability in the OR, however, better methods are needed to identify the surgical tasks for which an exoskeleton is effective.

Can pre-visit exposure to virtual tours of healthcare facilities help reduce child and parent anxiety during outpatient surgical procedures?

AIM: The study aims to evaluate the impact of exposure to a highly realistic virtual facility tour prior to the on-site visit on patients and their parent/care partner's self-reported anxiety and physiological measures on the day of the procedure. BACKGROUND: Preoperative anxiety impacts pediatric surgical outcomes; therefore, it is important for healthcare providers to address and manage preoperative anxiety in pediatric patients to promote better outcomes and overall wellbeing. Providing patients with a preview of the care setting before the actual procedure can be highly beneficial in mitigating preoperative anxiety. METHODOLOGY: In this pilot randomized experimental study, sixteen patient-care partner dyads scheduled to undergo a gastrointestinal procedure either received a virtual tour identical to the places experienced on the day of the procedure (experimental group) or received no virtual tour (control group). Self-reported measures of anxiety were collected from participants before and on the day of the procedure. Physiological measures of heart rate variability and skin conductance were collected on the day of the procedure from both groups. RESULTS: There were no significant differences between the self-reported and physiological measures of anxiety between the child groups. However, parents in the control group reported lower levels of anxiety and demonstrated lower levels of stress based on their physiological measures. CONCLUSION: Exposure to virtual facility tours days before the surgery was not helpful in positively impacting the psychological measures related to preoperative anxiety levels for the participants.

Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training.

This study aims to explore adoption barriers from three aspects critical to facilitating robotic-assisted-surgery (RAS) adoption: the human-robot-interaction, built-environment, and training. Guidelines for research and design are identified from these perspectives. This study consisted of three phases: 1) surveys to RAS stakeholders and a crowd-sourcing survey; 2) stakeholder focus groups; and 3) a workshop with subject-matter experts to prioritize future research for RAS. Barriers from the human-robot-interaction perspective include hesitancy among clinicians to trust automation and physical discomfort during prolonged RAS. Barriers impeding communication and workflow disruptions were identified considering the built-environment. Training barriers were exemplified by varying curriculums from formal (courses) to informal (peer training) for surgeons. Crowd-sourced survey results suggest socio-economic status plays a role in RAS perception. Design guidelines include: 1) improved ergonomics; 2) deliberate introduction of automation; 3) sufficient in-room storage for prospective operating rooms; and 4) the development of compact RAS devices for older/smaller rooms.

Manufacturing Industry Stakeholder Perspectives on Occupational Exoskeletons: Changes after a Brief Exposure to Exoskeletons.

OCCUPATIONAL APPLICATIONSMultiple occupational exoskeletons have been developed recently with potential to reduce physical demands, muscle fatigue, and risk of over-exertion injuries in manufacturing, yet there are currently challenges in practical, large-scale deployment. We explored how stakeholder perceptions of exoskeletons were affected by exposure to passive arm- and back-support exoskeletons. Our outcomes indicate that even brief exposure to exoskeletons can positively influence worker and stakeholder perceptions on the usefulness and safety of exoskeletons. However, worker concerns about device usability and acceptability in the field were not mitigated by such brief exposure. This work may help manufacturing industry stakeholders understand what technology-adoption factors need further consideration when planning for exoskeleton deployment.

Background: Despite evidence from several laboratory studies on the effectiveness of passive exoskeletons to support specific industrial jobs, barriers to adoption still exist. Contextual factors underlying exoskeleton adoption need further understanding. Purpose: We aimed to document how stakeholder perceptions of exoskeleton technologies could be affected by physical exposure to a wide variety of exoskeletons, by providing an opportunity to wear them and perform standardized tasks. Methods: We recorded the opinions of 22 participants from different manufacturing industries, both before and after trying seven different passive arm-support and back-support occupational EXOs. EXO expectations, adoption factors/barriers in their work settings, and perceived next steps for implementing such technologies were captured. Participants also completed usability questionnaires after each EXO trial. Results: Even brief exposure to EXOs positively influenced both worker and stakeholder perceptions on exoskeleton usefulness and safety; in contrast, worker concerns about usability and acceptability remained unchanged. Participants indicated stronger preferences for some specific EXO technologies, in terms of ease of use, performance improvements, and applicability. Conclusions: Actual exposure to occupational exoskeletons, even if brief, was found to alter worker and stakeholder perceptions of exoskeleton usefulness and safety. Future work on technology perceptions and intention to use exoskeletons may need to consider physical exposure to devices before soliciting perceptions, especially for novel technologies like exoskeletons.

Utilizing Eye Tracking to Assess Medical Student Non-Technical Performance During Scenario-Based Simulation: Results of a Pilot Study.

Background: Non-technical skills (NTS) are essential for safe surgical patient management. However, assessing NTS involves observer-based ratings, which can introduce bias. Eye tracking (ET) has been proposed as an effective method to capture NTS. The purpose of the current study was to determine if ET metrics are associated with NTS performance. Methods: Participants wore a mobile ET system and participated in two patient care simulations, where they managed a deteriorating patient. The scenarios featured several challenges to leadership, which were evaluated using a 4-point Likert scale. NTS were evaluated by trained raters using the Non-Technical Skills for Surgeons (NOTSS) scale. ET metrics included percentage of fixations and visits on areas of interest. Results: Ten medical students participated. Average visit duration on the patient was negatively correlated with participants' communication and leadership. Average visit duration on the patient's intravenous access was negatively correlated with participants' decision making and situation awareness. Conclusions: Our preliminary data suggests that visual attention on the patient was negatively associated with NTS and may indicate poor comprehension of the patient's status due to heightened cognitive load. In future work, researchers and educators should consider using ET to objectively evaluate and provide feedback on their NTS.

Physical activity changes among office workers during the COVID-19 pandemic lockdown and the agreement between objective and subjective physical activity metrics.

After the onset of the COVID-19 pandemic, many office workers transitioned to working-from-home (WFH) which altered routine physical activity (PA). To understand how these workers' PA were affected throughout the pandemic, PA data collected in January, April, June, and December 2020 with an activity tracker and a validated survey were analyzed. Between January and December, it was found that step counts during the weekday decreased (p < 0.01), weekday heart rate was higher than weekends (p < 0.01), activity-tracker and self-reported PA decreased (p < 0.01), and sitting time increased (p < 0.01). To understand the agreement between the objective and subjective METs, Bland-Altman analyses were completed and demonstrated an acceptable level of agreement. Findings show decreased level of PA amongst WFH office workers and that the activity tracker and survey are reliable methods of recording WFH PA.

Characterizing robotic surgical expertise: An exploratory study of neural activation during mental imagery of robotic suturing.

BACKGROUND: Mental imagery (MI) aids skill acquisition, however, it is unclear to what extend MI is used by experienced surgeons. The purpose of this study was to assess differences in MI of participants with varying surgical expertise in robotic surgery. METHODS: Students, residents, and surgeons completed the Mental Imagery Questionnaire to assess MI for robotic suturing. Participants then completed robotic simulator tasks, and imagined performing robotic suturing while being assessed with electroencephalogram (EEG). RESULTS: Attending surgeons reported higher MI for robotic suturing, and EEG revealed higher neural activation during imagery of robotic suturing than other groups. CONCLUSIONS: Experienced surgeons displayed higher MI ability for robotic suturing, and displayed higher cortical activity in the frontal and parietal areas of the brain, which is associated with more advanced motor imagery. MI appears to be a component of robotic surgery expertise.

Stress and resident interdisciplinary team performance: Results of a pilot trauma simulation program.

BACKGROUND: Excessive stress negatively impacts surgical residents' technical performance. The effect of stress on trainee nontechnical skills, however, is less well studied. Given that nontechnical skills are known to impact clinical performance, the purpose of this study was to assess the relationship between residents' perceived stress and nontechnical skills during multidisciplinary trauma simulations. METHODS: First-year surgery and emergency medicine residents voluntarily participated in this study. Residents participated in 3 trauma simulations across 2 training sessions in randomly assigned teams. Each team's nontechnical skills were evaluated by faculty using the Trauma Nontechnical Skills scale. The Trauma Nontechnical Skills scale consists of 5 items: leadership, cooperation, communication, assessment, and situation awareness/coping with stress. After each scenario, residents completed the 6-item version of the State-Trait Anxiety Inventory and the Surgery Task Load Index to detail their perceived stress and workload during scenarios. Linear regressions were run to assess relationships between stress, workload, and nontechnical skills. RESULTS: Twenty-five residents participated in the first simulation day, and 24 residents participated in the second simulation day. Results from regressions revealed that heightened stress and workload predicted significantly lower nontechnical skills performance during trauma scenarios. In regard to specific aspects of nontechnical skills, residents' heightened stress and workload predicted statistically significant lower situation awareness and decision-making during trauma scenarios. CONCLUSION: Residents' perceived stress and workload significantly impaired their nontechnical skills during trauma simulations. This finding highlights the need to offer stress management and performance-optimizing mental skills training to trainees to lower their stress and optimize nontechnical skills performance during challenging situations.

Surgeon stress negatively affects their non-technical skills in the operating room.

BACKGROUND: Poor surgeons' non-technical skills (NTS) and excessive stress and workload are known contributors to surgical errors. Our aim was to examine the relationship between surgeons' stress and workload, and their observed NTS intraoperatively. METHODS: Surgeon's NTS were rated in the operating room (OR) by trained observers. Surgeon stress, workload, familiarity with the OR team, prior experience, and case difficulty were captured. Relationships between variables were assessed. RESULTS: Fifteen surgeons participated in our study. Agreement among raters was high for NTS observations (ICC range = 0.56-0.96). Stress was negatively correlated with situation awareness, and workload was negatively correlated with decision making. Less familiarity among the team was correlated with higher stress. CONCLUSIONS: Surgeons' stress and workload negatively affected their NTS in the OR. Further, unfamiliarity with the surgical team contributed to surgeon's stress. Methods to reduce surgeons' stress and workload such as mental skills training should be considered.

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessment tools for learning progression are limited. The objective of this study was to measure changes in trainees' cognitive and behavioral states as they progressed in a robotic surgeon training curriculum at a medical institution. Seven surgical trainees in urology who had no formal robotic training experience participated in the simulation curriculum. They performed 12 robotic skills exercises with varying levels of difficulty repetitively in separate sessions. EEG (electroencephalogram) activity and eye movements were measured throughout to calculate three metrics: engagement index (indicator of task engagement), pupil diameter (indicator of mental workload) and gaze entropy (indicator of randomness in gaze pattern). Performance scores (completion of task goals) and mental workload ratings (NASA-Task Load Index) were collected after each exercise. Changes in performance scores between training sessions were calculated. Analysis of variance, repeated measures correlation, and machine learning classification were used to diagnose how cognitive and behavioral states associate with performance increases or decreases between sessions. The changes in performance were correlated with changes in engagement index (rrm=-.25,p<.001) and gaze entropy (rrm=-.37,p<.001). Changes in cognitive and behavioral states were able to predict training outcomes with 72.5% accuracy. Findings suggest that cognitive and behavioral metrics correlate with changes in performance between sessions. These measures can complement current feedback tools used by medical educators and learners for skills assessment in robotic surgery training.

Use of non-technical skills can predict medical student performance in acute care simulated scenarios.

BACKGROUND: Though the importance of physician non-technical (NT) skills for safe patient care is recognized, NT skills of medical students, our future physicians, has received little attention. This study aims to investigate the relationship of medical student NT skills and clinical performance during acute care team simulation (ACTS). METHODS: Forty-one medical students participated in ACTS. A nurse confederate facilitated and evaluated clinical performance. Two raters assessed participants' NT skills using an adapted NT assessment tool and overall NT skills score was calculated. Regressions predicting clinical performance using NT constructs were conducted. RESULTS: Overall NT skills score significantly predicted students' clinical performance (r2 = 0.178, p = 0.006). Four of the five individual NT constructs also significantly predicted performance: communication (r2 = 0.120, p = 0.027), situation awareness (r2 = 0.323, p < 0.001), leadership (r2 = 0.133, p = 0.019), and decision making (r2 = 0.163, p = 0.009). CONCLUSIONS: Medical student NT skills can predict clinical performance during ACTS. NT skills assessments can be used for targeted education for better feedback to students.

Objective Measures of Communication Behavior Predict Clinical Performance.

OBJECTIVE: Effective teamwork and communication are critical to patient outcomes, and subjective assessment tools have been studied in predicting team performances. However, inherent biases remain while using subjective assessment tools. This study hypothesizes that objective communication features can assess and predict clinical performance. DESIGN: Forty 3rd-year medical students participated in the Acute Care Trauma Simulation as the role of doctor, teaming up with a nurse confederate and a simulated patient. Participants conducted postoperative patient management, patient care diagnoses, and treatment. Audio from all team members were recorded, speech variables (e.g., speech duration, number of conversations, etc.) were extracted, and statistical analyses were performed to associate communication with clinical performance. SETTING: This study was performed at the simulation center located at Fairbanks Hall, Indiana University School of Medicine. PARTICIPANTS: Data from forty 3rd-year medical students were collected and analyzed. RESULTS: Majority (67%) of the communications were initiated by student. Speech ratio, intensity, and frequency of communications differed when students communicate with nurse than with patient (e.g., student communication to patient had higher intensity than nurse). Increasing frequency of check-backs between student and nurse (p < 0.05) and speech duration from student to patient (p = 0.001) positively associated with student's clinical performance score. CONCLUSION: Objective communication features can predict medical trainee's clinical performance and provide an objective approach for simulation-based trauma care training.