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The ADE Scorecards: A Tool for Adverse Drug Event Detection in Electronic Health Records

机译:ADE记分卡:电子病历中不良药物事件检测的工具

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Although several methods exist for Adverse Drug events (ADE) detection due to past hospitalizations, a tool that could display those ADEs to the physicians does not exist yet. This article presents the ADE Scorecards, a Web tool that enables to screen past hospitalizations extracted from Electronic Health Records (EHR), using a set of ADE detection rules, presently rules discovered by data mining. The tool enables the physicians to (1) get contextualized statistics about the ADEs that happen in their medical department, (2) see the rules that are useful in their department, i.e. the rules that could have enabled to prevent those ADEs and (3) review in detail the ADE cases, through a comprehensive interface displaying the diagnoses, procedures, lab results, administered drugs and ano-nymized records. The article shows a demonstration of the tool through a use case.
机译:尽管由于过去的住院治疗,存在几种检测不良药品事件(ADE)的方法,但尚不存在可以向医生显示这些ADE的工具。本文介绍了ADE Scorecards,这是一个Web工具,它可以使用一组ADE检测规则(当前是通过数据挖掘发现的规则)来筛选从电子病历(EHR)中提取的过去住院情况。该工具使医生能够(1)获取有关其医疗部门发生的ADE的上下文统计信息;(2)查看对其部门有用的规则,即可以阻止这些ADE的规则;以及(3)通过全面的界面显示诊断,程序,实验室结果,所用药物和阳极化记录,详细审查ADE病例。本文通过用例展示了该工具的演示。

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