Novel framework combining health records with medical algorithms

Florian Schmidt, Vincent Hennig, Sarah Köhler, Marcel Wallschläger, Anton Gulenko, Hartmut Schmidt, O. Kao
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Abstract

Information overload in the medical field is both visible by the increased number of publications as well as by the volume of patient data. In order to cope with this problem, we propose a novel framework combining patient's health records with medical knowledge, which is based on medical algorithms from frequently used guidelines. The framework uses new types of animation and layout algorithms for visualizing knowledge models in health records. At the Münster University Hospital the framework is already in prototypical use for education and communication purposes.
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结合健康记录和医疗算法的新框架
医学领域的信息过载既体现在出版物数量的增加,也体现在患者数据的数量上。为了解决这一问题,我们提出了一种将患者健康记录与医学知识相结合的新框架,该框架基于常用指南中的医学算法。该框架使用新型的动画和布局算法来可视化健康记录中的知识模型。在梅斯特大学医院,这个框架已经被用于教育和交流的原型。
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