首页> 外文期刊>Pharmacoepidemiology and drug safety >A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System
【24h】

A COVID-19-ready public health surveillance system: The Food and Drug Administration's Sentinel System

机译:一个Covid-19就绪的公共卫生监测系统:食品和药物管理局的哨兵系统

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The US Food and Drug Administration's Sentinel System was established in 2009 to use routinely collected electronic health data for improving the national capability to assess post-market medical product safety. Over more than a decade, Sentinel has become an integral part of FDA's surveillance capabilities and has been used to conduct analyses that have contributed to regulatory decisions. FDA's role in the COVID-19 pandemic response has necessitated an expansion and enhancement of Sentinel. Here we describe how the Sentinel System has supported FDA's response to the COVID-19 pandemic. We highlight new capabilities developed, key data generated to date, and lessons learned, particularly with respect to working with inpatient electronic health record data. Early in the pandemic, Sentinel developed a multi-pronged approach to support FDA's anticipated data and analytic needs. It incorporated new data sources, created a rapidly refreshed database, developed protocols to assess the natural history of COVID-19, validated a diagnosis-code based algorithm for identifying patients with COVID-19 in administrative claims data, and coordinated with other national and international initiatives. Sentinel is poised to answer important questions about the natural history of COVID-19 and is positioned to use this information to study the use, safety, and potentially the effectiveness of medical products used for COVID-19 prevention and treatment.
机译:美国食品和药物管理局(FDA)的Sentinel系统于2009年建立,用于使用定期收集的电子健康数据,提高国家评估上市后医疗产品安全性的能力。十多年来,Sentinel已成为FDA监督能力的一个组成部分,并被用于进行有助于监管决策的分析。FDA在2019冠状病毒疾病流行中的作用,需要扩大和加强哨兵。在这里,2019冠状病毒疾病系统支持FDA对COVID-19流行病的反应。我们重点介绍了开发的新功能、迄今为止生成的关键数据以及经验教训,尤其是在处理住院患者电子病历数据方面。在大流行初期,Sentinel开发了一种多管齐下的方法来支持FDA的预期数据和分析需求。2019冠状病毒疾病的研究,包括2019冠状病毒疾病的研究,包括新的数据源,创建了一个快速更新的数据库,开发了评估COVID-19自然史的协议,验证了基于诊断码的算法,用于识别COVID-19患者的行政索赔数据,并与其他国家和国际倡议相协调。2019冠状病毒疾病2019冠状病毒疾病的重要历史问题,并利用该信息来研究COVID-19预防和治疗的医学产品的使用、安全性和潜在的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号