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医疗产品安全监测的决策支持环境

Decision support environment for medical product safety surveillance.

作者信息

Botsis Taxiarchis, Jankosky Christopher, Arya Deepa, Kreimeyer Kory, Foster Matthew, Pandey Abhishek, Wang Wei, Zhang Guangfan, Forshee Richard, Goud Ravi, Menschik David, Walderhaug Mark, Woo Emily Jane, Scott John

机构信息

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, United States.

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, United States.

出版信息

J Biomed Inform. 2016 Dec;64:354-362. doi: 10.1016/j.jbi.2016.07.023. Epub 2016 Jul 28.

Abstract

We have developed a Decision Support Environment (DSE) for medical experts at the US Food and Drug Administration (FDA). The DSE contains two integrated systems: The Event-based Text-mining of Health Electronic Records (ETHER) and the Pattern-based and Advanced Network Analyzer for Clinical Evaluation and Assessment (PANACEA). These systems assist medical experts in reviewing reports submitted to the Vaccine Adverse Event Reporting System (VAERS) and the FDA Adverse Event Reporting System (FAERS). In this manuscript, we describe the DSE architecture and key functionalities, and examine its potential contributions to the signal management process by focusing on four use cases: the identification of missing cases from a case series, the identification of duplicate case reports, retrieving cases for a case series analysis, and community detection for signal identification and characterization.

摘要

我们为美国食品药品监督管理局(FDA)的医学专家开发了一个决策支持环境(DSE)。该DSE包含两个集成系统:基于事件的健康电子记录文本挖掘(ETHER)和用于临床评估与评价的基于模式和高级网络分析仪(PANACEA)。这些系统协助医学专家审查提交给疫苗不良事件报告系统(VAERS)和FDA不良事件报告系统(FAERS)的报告。在本手稿中,我们描述了DSE架构和关键功能,并通过关注四个用例来研究其对信号管理过程的潜在贡献:从病例系列中识别缺失病例、识别重复病例报告、检索病例以进行病例系列分析,以及用于信号识别和表征的社区检测。

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