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HAPTEX - Using Haptics & Virtual Reality to Improve Objectivity and Validity of Medical Training & Examinations

HAPTEX - Using Haptics & Virtual Reality to Improve Objectivity and Validity of Medical Training & Examinations
HAPTEX - 使用触觉
批准号:
26390
负责人:
金额:
$92.78万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
翻译
在接下来的两年里,英国承诺额外培养1500名医学生,这将使每年的总人数达到近7500人。确保新获得资格的医生的能力是至关重要的。8月的“黑色星期三”指的是一批新的初级医生来到病房的那一天。确保新获得资格的医生的能力可以改善患者的预后并减少伤害(提高生活质量)。能力评估在医学院中缺乏标准化,尽管项目正在开始解决这一问题。英国医生执照考试将在未来五年内在医学院之间引入一种通用的笔试内容考试。与此同时,总医务委员会为新获得资格的医生推出了一份核心临床能力清单。然而,没有标准化的国家评估。在评估临床技能方面存在着大量的额外挑战,包括:伦理(不使用病人);基于人体模型的评估缺乏现实性和真实性;评估压力不断增加,导致严重的心理健康问题;临床技能评估的客观性很难标准化,设备的技术故障和评估的主观性导致无意识的偏见。近年来,虚拟现实和相关技术的快速发展为医学教育带来了许多新的机会。尽管自公元世纪初S以来,医学培训的技术被证明是有效的,但目前的医学培训技术高度特定于特定的临床技能或学科。通用机器人公司(GR)开发了一个利用VR和Haptics(触摸反馈)的硬件和软件模拟平台,这是世界上第一个多用途临床模拟器(SimuTouch(R))。通用平台带来了许多优势,并改变了培训机构在其课程中投资和部署模拟的方式。计算机模拟的下一个前沿是评估,有机会解决许多已经强调的挑战,但独一无二的是,通过SimuTouch(R)平台,还有机会将培训与评估结合起来,带来更广泛的效率改进、成本节约和标准化。GR将与伦敦国王学院的专业医学教育人员密切合作。该项目将从发现阶段开始,使用普通医学理事会毕业生核心医学技能成果清单作为起点,以确定技术开发的领域。将选择大约5项技能进行开发,分为更简单的虚拟现实任务和更复杂的触觉任务,然后将在模拟的欧安组织中进行验证。
英文摘要
Over the next two years the UK has committed to training an extra 1500 medical students, this will bring the total to almost 7500 students per year. It is essential to ensure the competencies of a newly qualified doctor. The concept of 'Black Wednesday' in August refers to the day when a new cohort of junior doctors arrive on the wards. Ensuring the competency of newly qualified doctors improves patient outcomes and reduces harm (improving quality of life).Assessment of competency lacks standardisation across medical schools although projects are starting to address this. The UK medical licensing exam will introduce a common written content examination across medical schools in the next five years. In Parallel to this the general medical council has introduced a list of core clinical competencies for newly qualified doctors. However, there is no standardised national assessment.Numerous additional challenges in assessing clinical skills exist including: ethical (not using patients); mannequin based assessment lacks realism and authenticity; assessment stress is rising resulting in severe mental health implications; objectivity in assessment of clinical skills is hard to standardise with technical failure of equipment and the subjective nature of assessment gives rise to unconscious bias.In recent years rapid development of VR and related technologies have given rise to many new opportunities for medical education. Despite being demonstrably effective since the early 00's, current technologies for medical training are highly specific to a particular clinical skill or discipline. Generic Robotics (GR) have developed a hardware and software simulation platform leveraging VR and Haptics (Touch Feedback) which is the world's first multi-purpose clinical simulator (SimuTouch(r)). A universal platform brings many advantages and changes the way training institutions can invest in and deploy simulation in their curricula.The next frontier for computer simulation is assessment, there is opportunity to address many of the challenges already highlighted but, uniquely, through the SimuTouch(r) platform, there is additionally the opportunity to unify training with assessment bringing even wider efficiency improvements, cost saving and standardization.GR will collaborate closely with expert medical educators at King's College London. This project will begin with a discovery phase using the General Medical Council outcomes for graduates' core medical skills list as the starting point to identify areas for technological exploitation. Approximately 5 skills will be selected for development, split between simpler, VR tasks and more complex Haptic tasks which will then be validated in a mock OSCE.
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Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data