Integrating pharmacogenomics into the electronic health record by implementing genomic indicators

P. Caraballo, Joseph A. Sutton, Jyothsna Giri, Jessica A. Wright, W. Nicholson, I. Kullo, M. Parkulo, S. Bielinski, A. Moyer
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引用次数: 23

Abstract

Pharmacogenomics (PGx) clinical decision support integrated into the electronic health record (EHR) has the potential to provide relevant knowledge to clinicians to enable individualized care. However, past experience implementing PGx clinical decision support into multiple EHR platforms has identified important clinical, procedural, and technical challenges. Commercial EHRs have been widely criticized for the lack of readiness to implement precision medicine. Herein, we share our experiences and lessons learned implementing new EHR functionality charting PGx phenotypes in a unique repository, genomic indicators, instead of using the problem or allergy list. The Gen-Ind has additional features including a brief description of the clinical impact, a hyperlink to the original laboratory report, and links to additional educational resources. The automatic generation of genomic indicators from interfaced PGx test results facilitates implementation and long-term maintenance of PGx data in the EHR and can be used as criteria for synchronous and asynchronous CDS.
通过实施基因组指标,将药物基因组学整合到电子健康记录中
整合到电子健康记录(EHR)中的药物基因组学(PGx)临床决策支持有可能为临床医生提供相关知识,从而实现个性化护理。然而,过去在多个EHR平台中实施PGx临床决策支持的经验已经确定了重要的临床、程序和技术挑战。商业电子病历因缺乏实施精准医疗的准备而受到广泛批评。在此,我们分享我们的经验和教训,实现新的EHR功能,在一个独特的存储库中绘制PGx表型,基因组指标,而不是使用问题或过敏列表。Gen-Ind还有其他功能,包括临床影响的简要描述,原始实验室报告的超链接,以及附加教育资源的链接。从接口PGx测试结果中自动生成基因组指标有助于在EHR中实现和长期维护PGx数据,并可作为同步和异步CDS的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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