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Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains

机译:利用退伍军人管理电子健康记录的患者数据,以支持基于网络的临床决策支持:信息学挑战和来自三个临床领域的问题

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摘要

Abstract Background The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structuring clinical decision support (CDS) around clinical care. This paper describes informatics challenges and design issues that were confronted in the process of building three Web-based CDS systems in the context of the VA EHR. Methods Over the course of several years, we implemented three Web-based CDS systems that extract patient data from the VA EHR environment to provide patient-specific CDS. These were 1) the VACS (Veterans Aging Cohort Study) Index Calculator which estimates prognosis for HIV+ patients, 2) Neuropath/CDS which assists in the medical management of patients with neuropathic pain, and 3) TRIM (Tool to Reduce Inappropriate Medications) which identifies potentially inappropriate medications in older adults and provides recommendations for improving the medication regimen. Results The paper provides an overview of the VA EHR environment and discusses specific informatics issues/challenges that arose in the context of each of the three Web-based CDS systems. We discuss specific informatics methods and provide details of approaches that may be useful within this setting. Conclusions Informatics issues and challenges relating to data access and data availability arose because of the particular architecture of the national VA infrastructure and the need to link to that infrastructure from local Web-based CDS systems. Idiosyncrasies of VA patient data, especially the medication data, also posed challenges. Other issues related to specific functional needs of individual CDS systems. The goal of this paper is to describe these issues so that our experience may serve as a useful foundation to assist others who wish to build such systems in the future.
机译:摘要背景美国退伍军人管理(VA)已经开发出强大而成熟的计算基础设施,以支持其电子健康记录(EHR)。 Web技术提供了一套强大的工具,用于在临床护理周围构建临床决策支持(CDS)。本文介绍了在VA EHR的上下文中构建基于网络的CDS系统的过程中面临的信息学挑战和设计问题。方法在几年内,我们实施了三个基于Web的CDS系统,从VA EHR环境中提取患者数据以提供特定于患者的CD。这是1)VAC(退伍军人老龄化队列研究)指数计算器,其估计HIV +患者的预后,2)神经病理/ CDS,有助于神经病疼痛患者的医学管理,以及3)修剪(减少不恰当的药物的工具)识别老年人的潜在不恰当的药物,并为改善药物方案提供建议。结果本文还提供了VA EHR环境的概述,并讨论了在三个基于Web的CDS系统中的每一个的上下文中产生的特定信息性问题/挑战。我们讨论特定的信息学方法,并提供可能在此设置中有用的方法的详细信息。结论由于国家VA基础设施的特定架构以及来自基于本地Web的CDS系统的特定架构以及从本地Web的CDS系统的特定架构,信息学问题和挑战出现了与数据访问和数据可用性有关的挑战。 VA患者数据的特质,尤其是药物数据,也提出了挑战。与各个CDS系统的特定功能需求相关的其他问题。本文的目标是描述这些问题,以便我们的经验可以作为帮助未来建立这些系统的其他系统的有用基础。

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