Assessing system operation skills in robotic surgery trainees.
Assessing system operation skills in robotic surgery trainees.
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DOI：
10.1002/rcs.449
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发表时间：
2012-03
影响因子：
2.5
通讯作者：
Chen, Chi Chiung Grace
中科院分区：
文献类型：
--
作者：
Kumar, Rajesh;Jog, Amod;Malpani, Anand;Vagvolgyi, Balazs;Yuh, David;Nguyen, Hiep;Hager, Gregory;Chen, Chi Chiung Grace
随着机器人手术在泌尿外科等专业中的使用越来越多，培训方法的开发也在加强。然而，目前的方法缺乏区分操作和手术技能的能力。使用自动记录系统纵向（每月）采集器械运动/遥测和视频，以及4项基本手术技能-切割、操作、横断和剥离。然后开发统计模型来区分实践专家外科医生和受训者之间的人机技能差异。来自6名学员和2名专家的数据进行了分析，以验证有史以来第一个统计模型的操作技能，并证明分类具有非常高的准确性（91.7%的大师，88.2%的相机运动）和灵敏度。我们报告我们的纵向研究，旨在跟踪机器人手术学员的熟练程度，并能够客观地评估操作和技术技能，将用于评估学员的进展，在参与机构的方法。
With increased use of robotic surgery in specialties including urology, development of training methods has also intensified. However, current approaches lack the ability of discriminating operational and surgical skills. An automated recording system was used to longitudinally (monthly) acquire instrument motion/telemetry and video and for 4 basic surgical skills -- suturing, manipulation, transection, and dissection. Statistical models were then developed to discriminate the human-machine skill differences between practicing expert surgeons and trainees. Data from 6 trainee and 2 experts was analyzed to validate the first ever statistical models of operational skills, and demonstrate classification with very high accuracy (91.7% for masters, and 88.2% for camera motion) and sensitivity. We report on our longitudinal study aimed at tracking robotic surgery trainees to proficiency, and methods capable of objectively assessing operational and technical skills that would be used in assessing trainee progress at the participating institutions.
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影响因子：
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发表时间：
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