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首页> 外文期刊>BMC Medical Education >Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data
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Do virtual patients prepare medical students for the real world? Development and application of a framework to compare a virtual patient collection with population data

机译：虚拟患者是否为医学生为现实世界做好准备？开发和应用框架以将虚拟患者集合与人群数据进行比较

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Background An important aspect of virtual patients (VPs), which are interactive computer-based patient scenarios, is authenticity. This includes design aspects, but also how a VP collection represents a patient population and how a patient is presented in a VP scenario. Therefore, our aim was to analyze VP scenarios integrated into the combined internal medicine and surgery curriculum at the University of Munich (LMU) and compare the results with data from the population in Germany. Method We developed a coding framework with four main categories: patient data, patient representation, diagnoses, and setting. Based on the framework we analyzed 66 VP and compared the results with data from the German healthcare system. Results Especially in the categories of patient data and patient representation, the VPs presented an unrealistic image of the real world; topics such as unemployment, disability, or migration background were almost non-existent. The diagnoses of the VPs and the onset of diseases were comparable with the healthcare data. Conclusions An explanation for the lack of representativeness of the patient data and representation might be a trend to create VPs based on fictional patient stories with VP authors trying to minimize complexity and cognitive load for the students. We suggest raising awareness among VP authors concerning personalized representations of patients without overwhelming their students. Our framework can support educators to assess the authenticity and diversity of a VP collection.
机译：背景技术虚拟患者（VP）的一个重要方面是真实性，它是基于计算机的交互式患者情况。这包括设计方面，还包括VP集合如何表示患者人群以及在VP方案中如何展示患者。因此，我们的目的是分析整合到慕尼黑大学（LMU）内科和外科手术课程中的VP方案，并将结果与​​德国人口数据进行比较。方法我们开发了一个编码框架，其中包括四个主要类别：患者数据，患者代表，诊断和设置。基于该框架，我们分析了66 VP，并将结果与​​德国医疗系统的数据进行了比较。结果特别是在患者数据和患者代表的类别中，副总裁展示了真实世界的不真实形象;诸如失业，残障或移民背景之类的话题几乎不存在。 VP的诊断和疾病的发作与医疗数据相当。结论对患者数据和代表性缺乏代表性的一种解释可能是根据虚构的患者故事创建VP的趋势，而VP作者则试图将学生的复杂性和认知负担降至最低。我们建议在不压倒学生的情况下提高副作者对患者个性化表示的认识。我们的框架可以支持教育者评估VP馆藏的真实性和多样性。

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