Key result
Electromagnetic motion tracking metrics significantly correlated with surgical skill, including clinical errors (r=0.58) and insertion time (r=0.55) during simulated procedures (p<0.05).
Why the study?
The surgical process remains elusive, prompting investigation into whether basic motion metrics can quantify specific aspects including instrument autonomy, psychomotor efficiency, procedural readiness, and clinical errors.
Can basic motion metrics quantify specific aspects of the surgical process in surgical trainees?
Observational (n=64)
Can basic motion metrics quantify specific aspects of the surgical process in surgical trainees?
p-value: p=<0.05
Basic motion metrics from electromagnetic sensors can quantify surgical skills and correlate with clinical errors and efficiency during simulated procedures.
Motion metrics may enable objective trainee assessment in simulation; leaves open real-world outcome prediction.
The surgical process remains elusive to many. This paper presents two independent empirical investigations where psychomotor skill metrics were used to quantify elements of the surgical process in a procedural context during surgical tasks in a simulated environment. The overarching goal of both investigations was to address the following hypothesis: Basic motion metrics can be used to quantify specific aspects of the surgical process including instrument autonomy, psychomotor efficiency, procedural readiness, and clinical errors. Electromagnetic motion tracking sensors were secured to surgical trainees’ (N = 64) hands for both studies, and several motion metrics were investigated as a measure of surgical skill. The first study assessed performance during a bowel repair and laparoscopic ventral hernia (LVH) repair in comparison to a suturing board task. The second study assessed performance in a VR task in comparison to placement of a subclavian central line. The findings of the first study support our subhypothesis that motion metrics have a generalizable application to surgical skill by showing significant correlations in instrument autonomy and psychomotor efficiency during the suturing task and bowel repair (idle time: r = 0.46, p < 0.05; average velocity: r = 0.57, p < 0.05) and the suturing task and LVH repair (jerk magnitude: r = 0.36, p < 0.05; bimanual dexterity: r = 0.35, p < 0.05). In the second study, performance in VR (steering and jerkiness) correlated to clinical errors (r = 0.58, p < 0.05) and insertion time (r = 0.55, p < 0.05) in placement of a subclavian central line. Both gross (dexterity) and fine motor skills (steering) were found to be important as well as efficiency (i.e., idle time, duration, velocity) when seeking to understand the quality of surgical performance. Both studies support our hypotheses that basic motion metrics can be used to quantify specific aspects of the surgical process and that the use of different technologies and metrics are important for comprehensive investigations of surgical skill.
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Mohamadipanah et al. (2020) conducted an observational in Surgical skill assessment (n=64). Electromagnetic motion tracking sensors was evaluated on Correlation of motion metrics with surgical skill and clinical errors (p=<0.05). Electromagnetic motion tracking metrics significantly correlated with surgical skill, including clinical errors (r=0.58) and insertion time (r=0.55) during simulated procedures (p<0.05).
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