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Analyzing SNOMED CT and HL7 Terminology Binding for Semantic Interoperability on Post-Genomic Clinical Trials

机译：基于基因组临床试验的语义互操作性分析SnoMed CT和HL7术语结合

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摘要

Current post-genomic clinical trials in cancer involve the collaboration of several institutions. Multi-centric retrospective analysis requires advanced methods to ensure semantic interoperability. In this scenario, the objective of the EU funded INTEGRATE project, is to provide an infrastructure to share knowledge and data in post-genomic breast cancer clinical trials. This paper presents the process carried out in this project, to bind domain terminologies in the area, such as SNOMED CT, with the HL7 v3 Reference Information Model (RIM). The proposed terminology binding follow the HL7 recommendations, but should also consider important issues such as overlapping concepts and domain terminology coverage. Although there are limitations due to the large heterogeneity of the data in the area, the proposed process has been successfully applied within the context of the INTEGRA TE project. An improvement in semantic interoperability of patient data from modern breast cancer clinical trials, aims to enhance the clinical practice in oncology.
机译：癌症的目前的后基因组临床试验涉及若干机构的合作。多中心回顾性分析需要先进的方法来确保语义互操作性。在这种情况下，欧盟资助的整合项目的目标是提供基础设施，以分享基因组乳腺癌临床试验中的知识和数据。本文介绍了该项目中进行的过程，在HL7 V3参考信息模型（RIM）中，在该项目中结合区域中的域术语，例如Snomed CT。所提出的术语绑定遵循HL7的建议，但还应考虑重叠概念和域术语覆盖等重要问题。尽管由于该区域中数据的大异质性而存在局限性，但所提出的过程已成功应用于Integra TE项目的背景范围内。从现代乳腺癌临床试验中提高患者数据的语义互操作性，旨在增强肿瘤学的临床实践。

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