Am J Surg. 2020 Apr;219(4):552-556. doi: 10.1016/j.amjsurg.2020.01.032. Epub 2020 Jan 21.
We hypothesized that differences in motion data during a simulated laparoscopic ventral hernia repair (LVH) can be used to stratify top and lower tier performers and streamline video review.
Surgical residents (N = 94) performed a simulated partial LVH repair while wearing motion tracking sensors. We identified the top ten and lower ten performers based on a final product quality score (FPQS) of the repair. Two blinded raters independently reviewed motion plots to identify patterns and stratify top and lower tier performers.
Top performers had significantly higher FPQS (23.3 ± 1.2 vs 5.7 ± 1.6 p < 0.01). Raters identified patterns and stratified top performers from lower tier performers (Rater 1 χ = 3.2 p = 0.07 and Rater 2 χ = 2.0 p = 0.16). During video review, we correlated motion plots with the relevant portion of the procedure.
Differences in motion data can identify learning needs and enable rapid review of surgical videos for coaching.
我们假设在模拟腹腔镜腹疝修补术（LVH）过程中的运动数据差异可用于对表现优秀者和表现较差者进行分层，并简化视频审查。
外科住院医师（N=94）在佩戴运动跟踪传感器的情况下进行模拟部分 LVH 修复。我们根据修复的最终产品质量评分（FPQS）确定了排名前 10 和后 10 的表现者。两名盲审员独立审查运动图以识别模式并对优秀者和较差者进行分层。
优秀者的 FPQS 明显更高（23.3±1.2 比 5.7±1.6，p<0.01）。评审员从较差者中识别出了模式和优秀者（评审员 1 χ²=3.2，p=0.07；评审员 2 χ²=2.0，p=0.16）。在视频审查期间，我们将运动图与手术过程的相关部分进行了关联。
运动数据的差异可以识别出学习需求，并能够快速审查手术视频以进行指导。
