一种用于在语义网环境中表示临床原型的模型驱动方法。

A model-driven approach for representing clinical archetypes for Semantic Web environments.

作者信息

Martínez-Costa Catalina, Menárguez-Tortosa Marcos, Fernández-Breis Jesualdo Tomás, Maldonado José Alberto

机构信息

Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Campus de Espinardo, CP 30100 Murcia, Spain.

出版信息

J Biomed Inform. 2009 Feb;42(1):150-64. doi: 10.1016/j.jbi.2008.05.005. Epub 2008 May 23.

Abstract

The life-long clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use the Archetype Definition Language (ADL) to specify archetypes. However, ADL has some drawbacks when attempting to perform semantic activities in Semantic Web environments. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using the Ontology Web Language (OWL) instead of ADL are described and discussed in this work. Moreover, a solution combining Semantic Web and Model-driven Engineering technologies is proposed to transform ADL into OWL for the CEN EN13606 EHR architecture.

摘要

任何由电子手段支持的个人终身临床信息构成了他的电子健康记录(EHR)。这些信息通常分布在几个独立且异构的系统中,这些系统在句法或语义上可能不兼容。目前,不同系统之间存在用于表示和交换EHR信息的不同标准。在先进的EHR方法中,临床信息通过原型来表示。这些方法大多使用原型定义语言(ADL)来指定原型。然而,在语义Web环境中尝试执行语义活动时,ADL存在一些缺点。在这项工作中,语义Web技术被用于为先进的EHR架构指定临床原型。本文描述并讨论了使用本体Web语言(OWL)而非ADL的优势。此外,还提出了一种结合语义Web和模型驱动工程技术的解决方案,用于将ADL转换为适用于CEN EN13606 EHR架构的OWL。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索