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A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
arXiv - CS - Human-Computer Interaction Pub Date : 2020-01-16 , DOI: arxiv-2001.05745
A. Asadipour, K. Debattista, V. Patel, A. Chalmers

Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in performing dexterous hands-on examinations (clinical palpation) may result in misdiagnosis of symptoms, serious injuries or even death. Furthermore, a high quality clinical examination can help to exclude significant pathology, and reduce time and cost of diagnosis by eliminating the need for unnecessary medical imaging. Medical palpation is used regularly as an effective preliminary diagnosis method all around the world but years of training are required currently to achieve competency. This paper focuses on a multimodal palpation training system to teach and improve clinical examination skills in relation to the abdomen. It is our aim to shorten significantly the palpation training duration by increasing the frequency of rehearsals as well as providing essential augmented feedback on how to perform various abdominal palpation techniques which has been captured and modelled from medical experts. Twenty three first year medical students divided into a control group (n=8), a semi-visually trained group (n=8), and a fully visually trained group (n=7) were invited to perform three palpation tasks (superficial, deep and liver). The medical students performances were assessed using both computer-based and human-based methods where a positive correlation was shown between the generated scores, r=.62, p(one-tailed)<.05. The visually-trained group significantly outperformed the control group in which abstract visualisation of applied forces and their palmar locations were provided to the students during each palpation examination (p<.05). Moreover, a positive trend was observed between groups when visual feedback was presented, J=132, z=2.62, r=0.55.

中文翻译:

一种辅助腹部触诊训练的技术辅助多模式训练方法及其在医学教育中的评估

计算机辅助多模式训练是在各种应用中学习复杂运动技能的有效方式。特别是学科(例如医疗保健)在执行灵巧的动手检查(临床触诊)方面的不能力可能会导致误诊症状、严重伤害甚至死亡。此外,高质量的临床检查可以帮助排除重要的病理,并通过消除对不必要的医学成像的需要来减少诊断的时间和成本。医学触诊在世界各地经常被用作一种有效的初步诊断方法,但目前需要多年的培训才能获得能力。本文重点介绍多模式触诊培训系统,以教授和提高与腹部相关的临床检查技能。我们的目标是通过增加排练的频率以及提供有关如何执行各种腹部触诊技术的必要增强反馈来显着缩短触诊训练持续时间,这些技术已从医学专家那里获得和建模。23 名一年级医学生被分为对照组 (n=8)、半视觉训练组 (n=8) 和完全视觉训练组 (n=7) 被邀请执行三项触诊任务(浅表、深而肝)。医学生的表现使用基于计算机和基于人类的方法进行评估,其中生成的分数之间显示正相关,r = .62,p(单尾)<.05。视觉训练组的表现明显优于对照组,后者在每次触诊检查期间向学生提供所施加力及其手掌位置的抽象可视化 (p<.05)。此外,当呈现视觉反馈时,组间观察到了积极的趋势,J=132,z=2.62,r=0.55。
更新日期:2020-01-17
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