Open-Source Ultrasound Trainer for Healthcare Professionals: A Pilot Randomized Control Trial.

IF 1.7 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES Simulation in Healthcare-Journal of the Society for Simulation in Healthcare Pub Date : 2024-04-01 Epub Date: 2023-02-20 DOI:10.1097/SIH.0000000000000697
Ryan G Morrison, Sophie A Halpern, Eamonn J Brace, Arielle J Hall, Dip V Patel, Jonathan Y Yuh, Nils V Brolis
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Abstract

Introduction: This technical report describes the development of a high-fidelity, open-source ultrasound trainer and showcases its abilities through a proof-of-concept, pilot randomized control trial. The open-source ultrasound trainer (OSUT) aims to enhance anatomical visualization during ultrasound education. The OSUT can attach to any ultrasound transducer, uses minimal hardware, and is able to be used during live patient ultrasound examinations.

Methods: After viewing a standardized training video lecture, 24 incoming first-year medical students with no prior ultrasound experience were randomized into a control group given an ultrasound system or an intervention group given the OSUT in addition to an ultrasound system. Both groups were tasked with localizing the thyroid, abdominal aorta, and right kidney on a patient. Performance outcomes were structure localization time, ultrasound image accuracy, and preactivity and postactivity participant confidence.

Results: The OSUT decreased right kidney localization time (Kruskal-Wallis, P < 0.001), increased sonographer right kidney accuracy ratings (Mann-Whitney U , U = 10.5, P < 0.05), and increased confidence in structure identification (Mann-Whitney U , U = 37, P = 0.045) and overall ultrasound ability (Wilcoxon signed-rank test, P = 0.007). There was no significant change in localization time, accuracy ratings, or participant confidence for locating the thyroid and abdominal aorta.

Conclusions: A high-fidelity, open-source ultrasound trainer was developed to aid healthcare professionals in learning diagnostic ultrasound. The study demonstrated the potential beneficial effects of the OSUT in localizing the right kidney, showcasing its adaptability and accessibility for ultrasound education for certain anatomical structures.

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面向医护人员的开源超声波培训师:随机对照试验。
导言:本技术报告介绍了高保真开源超声波训练器的开发情况,并通过概念验证、试点随机对照试验展示了其能力。开源超声训练器(OSUT)旨在增强超声教学中的解剖可视化。OSUT 可安装在任何超声波传感器上,使用最少的硬件,并可在对病人进行超声波检查时使用:方法:24 名没有超声经验的一年级医学生在观看标准化培训视频讲座后,被随机分为对照组和干预组,对照组使用超声系统,干预组除超声系统外还使用 OSUT。两组学生的任务都是定位患者的甲状腺、腹主动脉和右肾。实验结果包括结构定位时间、超声图像准确性以及实验前和实验后参与者的信心:OSUT缩短了右肾定位时间(Kruskal-Wallis,P<0.001),提高了超声技师对右肾准确性的评分(Mann-Whitney U,U=10.5,P<0.05),增强了结构识别信心(Mann-Whitney U,U=37,P=0.045)和整体超声能力(Wilcoxon符号秩检验,P=0.007)。在定位甲状腺和腹主动脉方面,定位时间、准确度评分或参与者信心均无明显变化:我们开发了一个高保真、开源的超声训练器,以帮助医护人员学习超声诊断。研究表明,OSUT 在定位右肾方面具有潜在的有益效果,展示了其在某些解剖结构的超声教学中的适应性和可及性。
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来源期刊
CiteScore
4.00
自引率
8.30%
发文量
158
审稿时长
6-12 weeks
期刊介绍: Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.
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