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Measuring the Quality of Data in Electronic Health Records Aggregators

机译:测量电子病历汇总器中的数据质量

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There is an increasing work to integrate health related data for health care services and research purposes. Most of the current proposals adapt the schemas of the data sources to extract automatically the information, but they do not measure the quality of the resulted data. Even more, smart personal devices gather health related data into private non-standard compliant databases. Although these sources could be useful for health care systems and research, to consider the quality of the information they offer is essential. Electronic Health Records Aggregators (EHRagg) are a new concept to integrate this kind of information, that considers the quality of the data. In this paper we present several factors that affect the quality (intrinsic to the data and related to the later use of it) and proposed a fuzzy quality measure to be used inside the EHRagg systems.
机译:为了医疗服务和研究目的,越来越多的工作要整合与健康相关的数据。当前的大多数建议都采用数据源的方案来自动提取信息,但是它们不能衡量结果数据的质量。甚至更多,智能个人设备将与健康相关的数据收集到不符合标准的私有数据库中。尽管这些来源可能对医疗保健系统和研究有用,但考虑它们提供的信息的质量至关重要。电子病历汇总器(EHR agg )是一种集成此类信息的新概念,它会考虑数据的质量。在本文中,我们介绍了几个影响质量的因素(数据本身和以后的使用有关),并提出了一种在EHR中使用的模糊质量度量 agg 系统。

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