A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm.

A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm.
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DOI:
10.1136/amiajnl-2012-001312
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发表时间:
2013-09
期刊:
Journal of the American Medical Informatics Association : JAMIA
影响因子:
--
通讯作者:
Burgun A
Burgun A
中科院分区:
其他
文献类型:
--
作者:
Ethier JF;Dameron O;Curcin V;McGilchrist MM;Verheij RA;Arvanitis TN;Taweel A;Delaney BC;Burgun A

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生物医学研究越来越依赖于来自多个异构数据源的信息的集成。尽管互操作性的结构和术语方面是相互依赖的,并依赖于一组共同的需求,目前的努力通常孤立地解决它们。我们提出了一个统一的基于本体的知识框架,以促进异构资源之间的互操作性,并调查如果使用LexEVS术语服务器是一个可行的实现方法。我们开发了一个框架的基础上的本体,通用信息模型(GIM),统一的结构模型和术语,以及相关的映射集。这允许在LexEVS中统一访问这些资源,以促进来自实现架构的各种组件和数据源的互操作性。我们的统一框架已经在欧盟框架计划7 TRANSFoRm项目的背景下进行了测试,在该项目中,它被用来实现回顾性糖尿病队列研究中的数据集成。GIM在TRANSFoRm中成功实例化为临床数据集成模型,并创建了必要的映射,以支持项目中软件工具的有效信息检索。我们提出了一种新颖的,统一的方法来解决异构数据源的互操作性的挑战,在一个框架中表示结构和语义模型。使用这种架构的系统可以完全依赖于对结构和编码进行抽象的GIM。信息模型、术语和映射都存储在LexEVS中,并且可以以统一的方式访问(实现HL7 CTS2服务功能模型)。该系统是灵活的,并应减少所需的工作,从数据源人员的实施和管理的整合。
Biomedical research increasingly relies on the integration of information from multiple heterogeneous data sources. Despite the fact that structural and terminological aspects of interoperability are interdependent and rely on a common set of requirements, current efforts typically address them in isolation. We propose a unified ontology-based knowledge framework to facilitate interoperability between heterogeneous sources, and investigate if using the LexEVS terminology server is a viable implementation method. We developed a framework based on an ontology, the general information model (GIM), to unify structural models and terminologies, together with relevant mapping sets. This allowed a uniform access to these resources within LexEVS to facilitate interoperability by various components and data sources from implementing architectures. Our unified framework has been tested in the context of the EU Framework Program 7 TRANSFoRm project, where it was used to achieve data integration in a retrospective diabetes cohort study. The GIM was successfully instantiated in TRANSFoRm as the clinical data integration model, and necessary mappings were created to support effective information retrieval for software tools in the project. We present a novel, unifying approach to address interoperability challenges in heterogeneous data sources, by representing structural and semantic models in one framework. Systems using this architecture can rely solely on the GIM that abstracts over both the structure and coding. Information models, terminologies and mappings are all stored in LexEVS and can be accessed in a uniform manner (implementing the HL7 CTS2 service functional model). The system is flexible and should reduce the effort needed from data sources personnel for implementing and managing the integration.
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