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A Service Oriented Framework to Assess the Quality of Electronic Health Data for Clinical Research

机译:面向服务的框架,用于评估临床研究的电子健康数据的质量

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Retrospective/observational clinical research studies are dependent on the secondary use of electronic health record (EHR) data for obtaining important results about the effectiveness of different medical interventions. In contrast to traditional clinical trials these studies provide results from real-world clinical settings, but suffer from data quality issues. Therefore, it is important to take into account the nature and quality of data when designing these studies in order to differentiate between true and artifactual variations [1]. We are developing a service-oriented framework to assess the quality of EHR data.
机译:回顾性/观察临床研究研究取决于电子健康记录(EHR)数据的二次使用,以获得对不同医疗干预措施的有效性的重要结果。与传统的临床试验相比,这些研究提供了现实世界临床环境的结果,但遭受了数据质量问题。因此,重要的是考虑在设计这些研究时数据的性质和质量,以区分真实和艺术变化[1]。我们正在开发面向服务的框架,以评估EHR数据的质量。

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