Intelligent Medical Case Storage and Analytics Platform for Healthcare Training

“很可能大多数人在一生中至少会经历一次诊断错误，有时会带来毁灭性的后果”（医学研究所，2015年），英国的研究表明，估计每10名住院患者中就有1名受到伤害（Vincent等人，2001).据报道，不必要的测试和治疗花费了NHS 23亿英镑，并与培训直接相关，正如医学皇家学院学院评论说：“_决定如何以及何时使用这些资源是临床问题，只能由那些有足够培训和经验的人回答”_（AoMRC，2014）。与此同时，在2018/2019年度，NHS共支付了24亿英镑的临床疏忽赔偿金，用于支付患者损失和法律的费用（NHS Resolution，2019）。在英国，迫切需要超越传统的“看一个，做一个，教一个”模式的医疗培训（Rodriguez-Paz et al.，2009年），而全球范围内熟练的医疗保健工作者越来越短缺，特别是在资源贫乏的环境中（WHO，2013年）。人工智能（AI）被定义为在不直接接收人类指令的情况下执行任务的计算机系统，有可能彻底改变医疗保健和教育（AoMRC，2019年）。类似于为用户提供的“虚拟医生”（患者）进行远程诊断/建议，这是一个支持用户的虚拟AI系统AiPatient是一家总部位于曼彻斯特的初创企业，由合格的医生和企业家Scott Martin于2018年创立，AIMed Europe Dragon's Den 2018和Manchester Enterprise Centre Official's Venture Further Award的赢家。我们的使命是提高全球医学教育的质量、可及性和可负担性。有了资金，我们将开发和测试医疗保健培训智能医疗案例存储和分析平台的可行性，使学生能够远程共享和接收反馈。我们的目标是提高沟通技巧，减少误诊和其他医疗错误，从而提高患者满意度，护理和减少可避免的NHS成本。AiPatient的团队主要由曼彻斯特大学毕业生组成，他们正在建立大学校友艾伦图灵作为“人工智能之父”的遗产，确保英国在这一领域保持世界领先地位。

"It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences" (Institute of Medicine, 2015), with UK-based studies indicate estimating that 1 in 10 patients admitted to hospital suffer harm (Vincent et al., 2001).Unnecessary tests and treatments have been reported to cost the NHS £2.3 billion and directly linked to training, as the Academy of Medical Royal Colleges commented: "_Deciding how and when to use these resources are clinical questions that can only be answered by those with sufficient training and experience"_ (AoMRC, 2014). At the same time, in 2018/2019, the NHS paid a total of £2.4 billion in clinical negligence payments to cover patient damages and legal costs (NHS Resolution, 2019).In the UK, there is an urgent need for medical training beyond the traditional "see one, do one, teach one" model (Rodriguez-Paz et al., 2009), while globally there is an increasing shortage of skilled healthcare workers, particularly in resource-poor settings (WHO, 2013).Artificial intelligence (AI), defined as computer systems performing tasks without receiving instructions directly from humans, has the potential to revolutionise both healthcare and education (AoMRC, 2019). Similarly to the "virtual doctor" that provides users (patients) with remote diagnosis/advice, a virtual AI system that support users (students and practitioners) by providing feedback on their clinical patient interactions, for example communication, interpersonal, and diagnostic reasoning skills, could revolutionise training.AiPatient is a Manchester-based start-up founded in 2018 by Scott Martin, a qualified doctor and entrepreneur, winner of AIMed Europe Dragon's Den 2018 and the Manchester Enterprise Centre Official's Venture Further Award. Our mission is to improve the quality, accessibility, and affordability of medical education worldwide. With funding, we will develop and test the feasibility of an Intelligent Medical Case Storage and Analytics Platform for Healthcare Training, enabling students to share and receive feedback remotely. Our aim is to improve communication skills and reduce misdiagnosis and other medical errors; thus, improving patient satisfaction, care, and reducing avoidable NHS costs.With a team composed predominantly of University of Manchester graduates, AiPatient are building on University alumnus Alan Turing's legacy as the "Father of AI", ensuring the UK remains world leading in this field.