临床和应用研究的虚拟存储库方法:作为国家数据库的替代在乳房x光检查中的应用。

L Ohno-Machado, A A Boxwala, J Ehresman, D N Smith, R A Greenes
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引用次数: 0

摘要

提出了一个国家乳房x线摄影数据库,基于一个集中的体系结构来收集、监测和审计乳房x线摄影数据。我们已经开发了一种替代架构,它依赖于基于internet的异构数据库分布式查询。此体系结构为每个查询创建一个“虚拟存储库”,或动态构造的联邦数据库,并利用遗留系统中的可用数据。它允许在单个站点构建定制的数据库,可以达到双重目的:通过一个共同的乳房x线照相术存储库向研究人员提供数据,并向参与机构的临床医生和管理人员提供数据。我们在布莱根妇女医院的一个原型系统中实现了这个架构,以展示其可行性。将常见查询动态地转换为特定于数据库的查询,并将结果聚合起来供用户立即显示或下载。数据驻留在两个不同的数据库中,由结构化的乳房x光检查报告组成,根据BIRADS标准化乳房x光检查词典编码,以及病理结果。我们前瞻性地收集了213例患者的数据,并表明我们的系统可以有效地执行分布式查询。我们还实现了图形化的探索性分析工具,以实现结果的可视化。我们的研究结果表明,该架构不仅可行,而且灵活和可扩展,构成了一个很好的替代国家乳房x线摄影数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A virtual repository approach to clinical and utilization studies: application in mammography as alternative to a national database.

A national mammography database was proposed, based on a centralized architecture for collecting, monitoring, and auditing mammography data. We have developed an alternative architecture relying on Internet-based distributed queries to heterogeneous databases. This architecture creates a "virtual repository", or a federated database which is constructed dynamically, for each query and makes use of data available in legacy systems. It allows the construction of custom-tailored databases at individual sites that can serve the dual purposes of providing data (a) to researchers through a common mammography repository and (b) to clinicians and administrators at participating institutions. We implemented this architecture in a prototype system at the Brigham and Women's Hospital to show its feasibility. Common queries are translated dynamically into database-specific queries, and the results are aggregated for immediate display or download by the user. Data reside in two different databases and consist of structured mammography reports, coded per BIRADS Standardized Mammography Lexicon, as well as pathology results. We prospectively collected data on 213 patients, and showed that our system can perform distributed queries effectively. We also implemented graphical exploratory analysis tools to allow visualization of results. Our findings indicate that the architecture is not only feasible, but also flexible and scaleable, constituting a good alternative to a national mammography database.

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