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Improving the Use of Big Data Analytics within Electronic Health Records: A Case Study based OpenEHR

机译:改进电子病历中大数据分析的使用:基于OpenEHR的案例研究

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Recently there has been an increasing adoption of electronic health records (EHRs) in different countries. Thanks to these systems, multiple health bodies can now store, manage and process their data effectively. However, the existence of such powerful and meticulous entities raise new challenges and issues for health practitioners. In fact, while the main objective of EHRs is to gain actionable big data insights from the health workflow, very few physicians exploit widely analytic tools, this is mainly due to the fact of having to deal with multiple systems and steps, which completely discourage them from engaging more and more. In this paper, we shed light and explore precisely the proper adaptation of analytical tools to EHRs in order to upgrade their use by health practitioners. For that, we present a case study of the implementation process of an EHR based OpenEHR and investigate health analytics adoption in each step of the methodology.
机译:最近,不同国家越来越多地采用电子健康记录(EHR)。由于有了这些系统,多个卫生机构现在可以有效地存储,管理和处理其数据。但是,这种强大而细致的实体的存在给卫生从业人员提出了新的挑战和问题。实际上,尽管EHR的主要目标是从卫生工作流程中获得可行的大数据见解,但极少有医生利用广泛的分析工具,这主要是由于必须处理多个系统和步骤,这完全阻碍了他们的工作。从越来越多的参与。在本文中,我们阐明并精确探索了分析工具对EHR的适当调整,以提高医疗从业人员的使用率。为此,我们介绍了一个基于EHR的OpenEHR实施过程的案例研究,并研究了该方法学每个步骤中健康分析的采用。

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