Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images.

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-01-01 Epub Date: 2022-02-28 DOI:10.1080/24725579.2022.2035022
Dominik D Mattioli, Geb W Thomas, Steven A Long, Marcus Tatum, Donald D Anderson
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Abstract

Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. Objective analysis of intraoperative fluoroscopic images offers an inexpensive, repeatable, and precise assessment strategy without bias. Assessors generally refrain from using the scores of images obtained throughout the operation to evaluate skill for practical reasons. A new system was designed to facilitate rapid analysis of this fluoroscopy via minimally trained analysts. Four expert and four novice analysts independently measured one objective metric for skill using both a custom analysis software and a commercial alternative. Analysts were able to measure the objective metric three times faster when using the custom software, and without a practical difference in accuracy in comparison to the expert analysts using the commercial software. These results suggest that a well-designed fluoroscopy analysis system can facilitate inexpensive, reliable, and objective assessment of surgical skills.

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训练有素的分析师可通过透视图像对骨科技术技能进行快速客观的评估。
骨科技能评估历来依赖于指导外科医生的主观印象。从这些工具中获得的反馈可能会受到偏见和其他实际问题的限制。对术中透视图像的客观分析提供了一种廉价、可重复、精确且无偏差的评估策略。出于实际考虑,评估人员一般不使用整个手术过程中获得的图像评分来评估技术。我们设计了一套新系统,以方便受过最少培训的分析师快速分析透视图像。四名专家分析师和四名新手分析师使用定制的分析软件和商业替代软件独立测量了一项客观的技能指标。使用定制软件时,分析师测量客观指标的速度要快三倍,与使用商业软件的专家分析师相比,准确性没有实际差别。这些结果表明,设计精良的透视分析系统可以促进对手术技能进行廉价、可靠和客观的评估。
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来源期刊
IISE Transactions on Healthcare Systems Engineering
IISE Transactions on Healthcare Systems Engineering Social Sciences-Safety Research
CiteScore
3.10
自引率
0.00%
发文量
19
期刊介绍: IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.
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