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Integrating Medication Alert Data into a Clinical Data Repository to Enable Retrospective Study of Drug Interaction Alerts in Clinical Practice

机译:将药物警戒数据整合到临床数据存储库中以便在临床实践中回顾性研究药物相互作用警戒

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摘要

Current clinical data repositories primarily extract data from multiple administrative and electronic medical record (EMR) data resources (e.g., hospital and physician billing records) containing specific patient-level data including demographics, medications, laboratory results, diagnoses, and procedure codes. It overlooks the importance of EMR system-level data (e.g., medication alerts that are routinely used by physicians, nurses, and pharmacists for decision support) for the surveillance of EMR decision support tools. These medication alerts are a significant source of information for providers, to minimize avoidable adverse drug events. This study describes the integration of medication alert data into an i2b2-based clinical data repository to support the investigation of clinical events occurring around patients with anticoagulation treatment that triggered drug-drug interaction alerts. The integration of medication alerts allows us to repurpose the clinical and translational research infrastructure to conduct retrospective effectiveness surveillance of clinical decision support tools.
机译:当前的临床数据存储库主要从多个行政和电子病历(EMR)数据资源中提取数据(例如,医院和医生帐单记录),其中包含特定的患者级别数据,包括人口统计,药物,实验室结果,诊断和程序代码。它忽略了EMR系统级数据(例如,医生,护士和药剂师通常用于决策支持的用药警报)对EMR决策支持工具的监视的重要性。这些用药警报是提供者的重要信息来源,以最大程度地减少可避免的不良药物事件。这项研究描述了将药物警戒数据整合到基于i2b2的临床数据存储库中,以支持对在抗凝治疗患者周围发生的触发药物-药物相互作用警报的临床事件进行调查。药物警报的集成使我们能够重新调整临床和转化研究基础设施的用途,以对临床决策支持工具进行追溯有效性监控。

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