Department of Surgery, University of North Carolina, Chapel Hill, NC, USA.
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Am Surg. 2023 May;89(5):1622-1628. doi: 10.1177/00031348211047505. Epub 2022 Jan 19.
Assessment of residents' body positioning during laparoscopy has not been adequately investigated. This study presents a novel computer vision technique to automate ergonomic evaluation and demonstrates this approach through simulated laparoscopy.
Surgical residents at a single academic institution were video recorded performing tasks from the Fundamentals of Laparoscopic Surgery (FLS). Ergonomics were assessed by 2 raters using the Rapid Upper Limb Assessment (RULA) tool. Additionally, a novel computer software program was used to measure ergonomics from the video recordings. All participants completed a survey on musculoskeletal complaints, which was graded by severity.
Ten residents participated; all performed FLS in postures that exceeded acceptable ergonomic risks as determined by both the human and computerized RULA scores ( < .001). Lower-level residents scored worse than upper-level residents on the human-graded RULA assessment ( = .04). There was no difference in computer-graded RULA scores by resident level ( = .39) and computer-graded scores did not correlate with human scores ( = .75). Shoulder and wrist position were the greatest contributors to higher computer-graded scores ( < .001). Self-reported musculoskeletal complaints did not differ at resident level ( = .74); however, all residents reported having at least 1 form of musculoskeletal complaint occurring "often."
Surgery residents demonstrated suboptimal ergonomics while performing simulated laparoscopic tasks. A novel computer program to measure ergonomics did not agree with the scores generated by the human raters, although it concluded that resident ergonomics remain a concern, especially regarding shoulder and wrist positioning.
对住院医师在腹腔镜手术中体位的评估尚未得到充分研究。本研究提出了一种新的计算机视觉技术,以实现手术体位的自动评估,并通过模拟腹腔镜手术演示了该方法。
一家学术机构的外科住院医师接受了基本腹腔镜手术(FLS)任务的视频记录。由两名评估员使用快速上肢评估(RULA)工具对手术体位的工效学进行评估。此外,还使用了一种新的计算机软件程序从视频记录中测量手术体位的工效学。所有参与者都完成了一份关于肌肉骨骼投诉的调查,该调查根据严重程度进行分级。
共有 10 名住院医师参加;所有参与者在进行 FLS 时的体位都超过了人类和计算机化 RULA 评分确定的可接受的工效学风险(<0.001)。低年资住院医师在人工 RULA 评估中得分低于高年资住院医师(=0.04)。计算机 RULA 评分与住院医师水平无关(=0.39),且计算机评分与人工评分不相关(=0.75)。肩部和手腕位置是导致计算机评分较高的主要因素(<0.001)。住院医师水平的肌肉骨骼投诉没有差异(=0.74);然而,所有住院医师都报告说至少有一种肌肉骨骼投诉“经常”发生。
在进行模拟腹腔镜手术任务时,外科住院医师的工效学表现不佳。一种新的计算机程序用于测量工效学,但与人工评分员生成的评分不一致,尽管它得出结论认为住院医师的工效学仍然令人担忧,特别是在肩部和手腕位置方面。