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Taking advantage of continuity of care documents to populate a research repository

机译:利用护理文档的连续性来填充研究资料库

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摘要

>Objective Clinical data warehouses have accelerated clinical research, but even with available open source tools, there is a high barrier to entry due to the complexity of normalizing and importing data. The Office of the National Coordinator for Health Information Technology's Meaningful Use Incentive Program now requires that electronic health record systems produce standardized consolidated clinical document architecture (C-CDA) documents. Here, we leverage this data source to create a low volume standards based import pipeline for the Informatics for Integrating Biology and the Bedside (i2b2) clinical research platform. We validate this approach by creating a small repository at Partners Healthcare automatically from C-CDA documents. >Materials and methods We designed an i2b2 extension to import C-CDAs into i2b2. It is extensible to other sites with variances in C-CDA format without requiring custom code. We also designed new ontology structures for querying the imported data. >Results We implemented our methodology at Partners Healthcare, where we developed an adapter to retrieve C-CDAs from Enterprise Services. Our current implementation supports demographics, encounters, problems, and medications. We imported approximately 17 000 clinical observations on 145 patients into i2b2 in about 24 min. We were able to perform i2b2 cohort finding queries and view patient information through SMART apps on the imported data. >Discussion This low volume import approach can serve small practices with local access to C-CDAs and will allow patient registries to import patient supplied C-CDAs. These components will soon be available open source on the i2b2 wiki. >Conclusions Our approach will lower barriers to entry in implementing i2b2 where informatics expertise or data access are limited.
机译:>目的临床数据仓库加速了临床研究,但是即使使用可用的开源工具,由于规范化和导入数据的复杂性,进入数据库仍然存在很高的障碍。国家健康信息技术协调员办公室的有意义使用激励计划现在要求电子健康记录系统生成标准化的合并临床文档架构(C-CDA)文档。在这里,我们利用此数据源为整合生物学信息学和床边(i2b2)临床研究平台创建了基于低量标准的导入管道。我们通过从C-CDA文档自动在Partners Healthcare创建一个小型存储库来验证这种方法。 >材料和方法我们设计了i2b2扩展名,可将C-CDA导入i2b2。它可以扩展到其他具有C-CDA格式差异的站点,而无需自定义代码。我们还设计了用于查询导入数据的新本体结构。 >结果我们在合作伙伴医疗保健公司实施了我们的方法,在那里我们开发了一个适配器来从企业服务中检索C-CDA。我们当前的实施支持人口统计,遭遇,问题和药物治疗。我们在大约24分钟内将145位患者的大约17 000项临床观察结果导入了i2b2。我们能够执行i2b2队列查找查询,并通过SMART应用程序在导入的数据上查看患者信息。 >讨论:这种小批量导入方法可以在本地访问C-CDA的情况下为小型诊所提供服务,并使患者注册表可以导入患者提供的C-CDA。这些组件将很快在i2b2 Wiki上开放源代码提供。 >结论:我们的方法将降低实施i2b2的入门门槛,因为i2b2的信息专业知识或数据访问受到限制。

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