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Developing knowledge resources to support precision medicine: principles from the Clinical Pharmacogenetics Implementation Consortium (CPIC)

机译:开发知识资源以支持精密医学:临床药物遗传学实施联盟(CPIC)的原则

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摘要

To move beyond a select few genes/drugs, the successful adoption of pharmacogenomics into routine clinical care requires a curated and machine-readable database of pharmacogenomic knowledge suitable for use in an electronic health record (EHR) with clinical decision support (CDS). Recognizing that EHR vendors do not yet provide a standard set of CDS functions for pharmacogenetics, the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group is developing and systematically incorporating a set of EHR-agnostic implementation resources into all CPIC guidelines. These resources illustrate how to integrate pharmacogenomic test results in clinical information systems with CDS to facilitate the use of patient genomic data at the point of care. Based on our collective experience creating existing CPIC resources and implementing pharmacogenomics at our practice sites, we outline principles to define the key features of future knowledge bases and discuss the importance of these knowledge resources for pharmacogenomics and ultimately precision medicine.
机译:为了超越少数几个基因/药物,药物基因组学成功应用于常规临床护理需要药物基因组学知识的精选且机器可读的数据库,适合在具有临床决策支持(CDS)的电子健康记录(EHR)中使用。认识到EHR供应商尚未为药物遗传学提供一套标准的CDS功能,临床药物遗传学实施联盟(CPIC)信息学工作组正在开发并将一组与EHR无关的实施资源系统地纳入所有CPIC指南中。这些资源说明了如何在临床信息系统中将药物基因组学测试结果与CDS集成在一起,以促进在护理点使用患者基因组数据。基于我们在实践现场创建现有CPIC资源和实施药物基因组学的集体经验,我们概述了定义未来知识库的关键特征的原则,并讨论了这些知识资源对药物基因组学以及最终精密医学的重要性。

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