A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools.

Smith F Heavner, Wesley Anderson, Rahul Kashyap, Pamela Dasher, Ewy A Mathé, Laura Merson, Philippe J Guerin, Jeff Weaver, Matthew Robinson, Marco Schito, Vishakha K Kumar, Paul Nagy
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Abstract

COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.

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使用开源数据协调工具在重症监护中获得真实世界证据的途径。
COVID-19突出了在重症监护中使用真实世界数据(RWD)作为临床、研究和政策工作的近实时资源的必要性。对RWD的分析正在获得动力,可以为政策制定者和监管机构提供重要证据。从电子健康记录(EHRs)中提取高质量的RWD需要复杂的基础设施和专用资源。我们试图定制免费可用的公共工具,支持数据协调的所有阶段,从数据质量评估到去识别程序,以及从电子病历生成稳健的、数据科学就绪的RWD。临床医生和研究人员可以通过CURE ID获得这些数据。CURE ID是一个免费平台,便于获取具有挑战性的临床病例报告和重新利用的治疗方法,该平台由美国国家促进转化科学中心/美国国立卫生研究院与美国食品和药物管理局合作主办。这篇评论描述了合作伙伴关系、基本原理、过程、用例、对重症监护的影响,以及这一合作努力的未来方向。
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