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Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies

机译:售后安全研究工具:用于售后药物监视研究的基于Web的,动态且可互操作的系统

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Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases.
机译:上市后药物监测是药物警戒和药物流行病学临床研究活动的重要方面。成功利用可用的电子病历(EHR)数据可以补充和加强售后安全性研究。就EHR的二次使用而言,跨域访问和分析患者数据是一个关键因素。我们在本文中解决了EHR系统与临床研究系统之间的数据互操作性问题。我们证明,可以通过以标准化方式使用通用数据元素来在更高层次上解决此问题,以便临床研究人员可以独立于基础信息模型而使用不同的EHR系统。上市后安全研究工具使临床研究人员能够通过设计通用数据元素的数据收集集方案,从不同的EHR系统中提取数据。该工具通过IHE数据元素交换配置文件与语义元数据注册表进行交互。售后安全研究工具及其支持组件已在意大利伦巴第地区的中央数据仓库中实施和部署,该数据库包含约1600万患者的匿名记录以及平均10年以上的纵向数据。罗氏(Roche)的临床研究人员通过实际使用案例验证了该工具。

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