Gonzalez-Vargas Jessica M, Brown Dailen C, Moore Jason Z, Han David C, Sinz Elizabeth H, Sonntag Cheyenne C, Miller Scarlett R
Pennsylvania State University.
Penn State Health Milton S. Hershey Medical Center.
Proc Hum Factors Ergon Soc Annu Meet. 2020 Dec 1;64(1):2008-2012. doi: 10.1177/1071181320641487. Epub 2021 Feb 9.
The Dynamic Haptic Robotic Trainer (DHRT) was developed to minimize the up to 39% of adverse effects experienced by patients during Central Venous Catheterization (CVC) by standardizing CVC training, and provide automated assessments of performance. Specifically, this system was developed to replace manikin trainers that only simulate one patient anatomy and require a trained preceptor to evaluate the trainees' performance. While the DHRT system provides automated feedback, the utility of this system with real-world scenarios and expertise has yet to be thoroughly investigated. Thus, the current study was developed to determine the validity of the current objective assessment metrics incorporated in the DHRT system through expert interviews. The main findings from this study are that experts do agree on perceptions of patient case difficulty, and that characterizations of patient case difficulty is based on anatomical characteristics, multiple needle insertions, and prior catheterization.
动态触觉机器人训练器(DHRT)的开发目的是通过规范中心静脉置管(CVC)培训,将患者在CVC过程中高达39%的不良反应降至最低,并提供性能的自动评估。具体而言,该系统的开发是为了取代仅模拟一种患者解剖结构且需要训练有素的带教老师来评估学员表现的人体模型训练器。虽然DHRT系统提供自动反馈,但该系统在实际场景和专业知识方面的效用尚未得到充分研究。因此,本研究旨在通过专家访谈确定DHRT系统中当前客观评估指标的有效性。这项研究的主要发现是,专家们确实对患者病例难度的认知达成了一致,并且患者病例难度的特征是基于解剖特征、多次针头插入和先前的置管情况。