Teodoro Douglas, Choquet Rémy, Schober Daniel, Mels Giovanni, Pasche Emilie, Ruch Patrick, Lovis Christian
SIMED, University Hospitals of Geneva, Geneva, Switzerland.
Stud Health Technol Inform. 2011;169:185-9.
In this paper, we introduce a data integration methodology that promotes technical, syntactic and semantic interoperability for operational healthcare data sources. ETL processes provide access to different operational databases at the technical level. Furthermore, data instances have they syntax aligned according to biomedical terminologies using natural language processing. Finally, semantic web technologies are used to ensure common meaning and to provide ubiquitous access to the data. The system's performance and solvability assessments were carried out using clinical questions against seven healthcare institutions distributed across Europe. The architecture managed to provide interoperability within the limited heterogeneous grid of hospitals. Preliminary scalability result tests are provided.
在本文中,我们介绍了一种数据集成方法,该方法可促进运营医疗数据源的技术、句法和语义互操作性。ETL 流程在技术层面提供对不同运营数据库的访问。此外,使用自然语言处理使数据实例的句法根据生物医学术语进行对齐。最后,语义网技术用于确保共同含义并提供对数据的普遍访问。针对分布在欧洲的七家医疗机构,使用临床问题对该系统的性能和可解决性进行了评估。该架构成功在有限的异构医院网格内提供了互操作性。提供了初步的可扩展性结果测试。
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