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用于可互操作医学知识创建的SNOMED CT与领域临床模型的协调。

Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation.

作者信息

Ali Taqdir

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2654-2657. doi: 10.1109/EMBC.2017.8037403.

Abstract

Use of heterogeneous data models in hospital information systems (HIS), obstructs the integration of clinical decision support system (CDSS) with clinical workflows. The diverse concepts diminish the interoperability level among the CDSS knowledge bases and data models of HIS. Standard terminology utilization in knowledge acquisition and its reconciliation with HIS data models are the candidate solution to overcome the interoperability barrier. We propose a reconciliation model to map concepts of diverse domain clinical models (DCM) with the standard terminology. In the proposed model, the implicit and explicit semantics are complemented to the word set of the targeted DCM concepts. The inclusion of semantics, mapped the DCM concepts to the SNOMED CT concepts with high accuracy. The results showed that the system correctly mapped 95% of concepts of DCM with standard terminology SNOMED CT concepts.

摘要

医院信息系统(HIS)中异构数据模型的使用,阻碍了临床决策支持系统(CDSS)与临床工作流程的整合。这些不同的概念降低了CDSS知识库与HIS数据模型之间的互操作性水平。在知识获取中使用标准术语并使其与HIS数据模型协调一致,是克服互操作性障碍的候选解决方案。我们提出一种协调模型,将不同领域临床模型(DCM)的概念与标准术语进行映射。在所提出的模型中,隐式和显式语义被补充到目标DCM概念的词集中。语义的纳入,将DCM概念高精度地映射到SNOMED CT概念。结果表明,该系统能将95%的DCM概念与标准术语SNOMED CT概念正确映射。

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