论文标题
技术辅助的多模式训练方法,以帮助腹部触诊训练及其医学教育评估
A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
论文作者
论文摘要
计算机辅助的多模式训练是在各种应用中学习复杂运动技能的有效方法。特别是在进行灵巧的动手检查(临床触诊)方面的学科(例如医疗保健)可能导致症状,严重伤害甚至死亡的误诊。此外,高质量的临床检查可以通过消除不必要的医学成像的需求来帮助排除重要的病理,并减少诊断时间和诊断成本。医疗触诊经常用作世界各地有效的初步诊断方法,但是目前需要多年的培训才能获得能力。本文着重于多模式触诊训练系统,以教授和提高与腹部有关的临床检查技能。我们的目标是通过增加排练的频率,并提供有关如何执行从医疗专家捕获和建模的各种腹部触诊技术的基本增强反馈,从而显着缩短触诊训练持续时间。二十三名医学生分为对照组(n = 8),一个半vis训练的组(n = 8),并邀请了一个完全视觉训练的组(n = 7)执行三项触诊任务(表面,深层和肝脏)。使用基于计算机的方法和基于人类的方法评估了医学生的表演,在生成的分数之间显示了正相关,r = .62,p(单尾)<.05。受视觉训练的组显着胜过对照组,在对照组中,在每次触诊检查期间,向学生提供了对应用力及其手掌位置的抽象可视化(p <.05)。此外,当出现视觉反馈时,在组之间观察到了积极的趋势,j = 132,z = 2.62,r = 0.55。
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.