Shirts Brian H, Salama Joseph S, Aronson Samuel J, Chung Wendy K, Gray Stacy W, Hindorff Lucia A, Jarvik Gail P, Plon Sharon E, Stoffel Elena M, Tarczy-Hornoch Peter Z, Van Allen Eliezer M, Weck Karen E, Chute Christopher G, Freimuth Robert R, Grundmeier Robert W, Hartzler Andrea L, Li Rongling, Peissig Peggy L, Peterson Josh F, Rasmussen Luke V, Starren Justin B, Williams Marc S, Overby Casey L
Department of Laboratory Medicine, University of Washington, Seattle, WA, 98195, USA
Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.
J Am Med Inform Assoc. 2015 Nov;22(6):1231-42. doi: 10.1093/jamia/ocv065. Epub 2015 Jul 3.
Clinicians' ability to use and interpret genetic information depends upon how those data are displayed in electronic health records (EHRs). There is a critical need to develop systems to effectively display genetic information in EHRs and augment clinical decision support (CDS).
The National Institutes of Health (NIH)-sponsored Clinical Sequencing Exploratory Research and Electronic Medical Records & Genomics EHR Working Groups conducted a multiphase, iterative process involving working group discussions and 2 surveys in order to determine how genetic and genomic information are currently displayed in EHRs, envision optimal uses for different types of genetic or genomic information, and prioritize areas for EHR improvement.
There is substantial heterogeneity in how genetic information enters and is documented in EHR systems. Most institutions indicated that genetic information was displayed in multiple locations in their EHRs. Among surveyed institutions, genetic information enters the EHR through multiple laboratory sources and through clinician notes. For laboratory-based data, the source laboratory was the main determinant of the location of genetic information in the EHR. The highest priority recommendation was to address the need to implement CDS mechanisms and content for decision support for medically actionable genetic information.
Heterogeneity of genetic information flow and importance of source laboratory, rather than clinical content, as a determinant of information representation are major barriers to using genetic information optimally in patient care. Greater effort to develop interoperable systems to receive and consistently display genetic and/or genomic information and alert clinicians to genomic-dependent improvements to clinical care is recommended.
临床医生使用和解读基因信息的能力取决于这些数据在电子健康记录(EHR)中的显示方式。迫切需要开发系统,以便在EHR中有效显示基因信息并增强临床决策支持(CDS)。
美国国立卫生研究院(NIH)资助的临床测序探索性研究以及电子病历与基因组学EHR工作组开展了一个多阶段的迭代过程,包括工作组讨论和两项调查,以确定基因和基因组信息目前在EHR中的显示方式,设想不同类型基因或基因组信息的最佳用途,并确定EHR改进的优先领域。
基因信息进入EHR系统以及在其中记录的方式存在很大异质性。大多数机构表示,基因信息在其EHR的多个位置显示。在接受调查的机构中,基因信息通过多个实验室来源以及临床医生记录进入EHR。对于基于实验室的数据,来源实验室是基因信息在EHR中位置的主要决定因素。最优先的建议是满足实施CDS机制和内容的需求,以支持对具有医学可操作性的基因信息进行决策。
基因信息流的异质性以及来源实验室作为信息呈现决定因素(而非临床内容)的重要性,是在患者护理中最佳利用基因信息的主要障碍。建议加大力度开发可互操作的系统,以接收并一致显示基因和/或基因组信息,并提醒临床医生注意依赖基因组学的临床护理改进。