Clinical coverage of an archetype repository over SNOMED-CT
Clinical coverage of an archetype repository over SNOMED-CT
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SNOMED-CT 原型存储库的临床覆盖范围
DOI：
10.1016/j.jbi.2011.12.001
复制
发表时间：
2012
影响因子：
4.5
通讯作者：
J. Bisbal
中科院分区：
文献类型：
--
作者：
Sheng Yu;D. Berry;J. Bisbal
临床原型为卫生专业人员提供了一种设计电子健康记录（EHR）中应传达的内容的方法。越来越多的原型定义遵循这种健康信息建模方法，这种国际原型资源最终将涵盖大量的临床概念。另一方面，可以被原型引用的临床术语系统也广泛覆盖了许多类型的医疗保健信息。没有现有的工作措施的临床内容覆盖率的原型使用术语系统作为一个指标。原型作者需要指导，以确定可能需要根据该范例进一步建模工作的重点的未覆盖的临床领域。本文通过创建一个所谓的术语阴影，开发了一个存储库中原型所覆盖的SNOMED-CT概念的第一个地图。这是通过从包含原型术语的所有节点映射适当的SNOMED-CT概念，在SNOMED-CT层次结构中找到映射概念的前两个类别级别，并计算每个类别的覆盖率来实现的。对结果的定量研究比较了不同类别的覆盖范围，以确定相对覆盖不足和覆盖良好的区域。结果表明，著名的国家卫生服务（NHS）连接健康（CfH）原型库的所有类别的SNOMED-CT的覆盖范围是不均衡的。值得调查的类别出现在覆盖范围的不同点上，包括覆盖良好的类别，如属性，验证值，覆盖不足的类别，如微生物，动物王国，以及根本没有覆盖的类别，如心血管药物（产品）。
Clinical archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large number of clinical concepts. On the other hand, clinical terminology systems that can be referenced by archetypes also have a wide coverage over many types of health-care information. No existing work measures the clinical content coverage of archetypes using terminology systems as a metric. Archetype authors require guidance to identify under-covered clinical areas that may need to be the focus of further modelling effort according to this paradigm. This paper develops a first map of SNOMED-CT concepts covered by archetypes in a repository by creating a so-called terminological Shadow. This is achieved by mapping appropriate SNOMED-CT concepts from all nodes that contain archetype terms, finding the top two category levels of the mapped concepts in the SNOMED-CT hierarchy, and calculating the coverage of each category. A quantitative study of the results compares the coverage of different categories to identify relatively under-covered as well as well-covered areas. The results show that the coverage of the well-known National Health Service (NHS) Connecting for Health (CfH) archetype repository on all categories of SNOMED-CT is not equally balanced. Categories worth investigating emerged at different points on the coverage spectrum, including well-covered categories such as Attributes, Qualifier value, under-covered categories such as Microorganism, Kingdom animalia, and categories that are not covered at all such as Cardiovascular drug (product).
DOI：
10.1197/jamia.m1552
发表时间：
2004-09-01
影响因子：
6.4
作者：
Friedman, C;Shagina, L;Hripcsak, G
通讯作者：
Hripcsak, G
将本地放射学术语自动映射到 LOINC。
DOI：
--
发表时间：
2005
期刊：
AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子：
--
作者：
Vreeman,DanielJ;McDonald,ClementJ
通讯作者：
McDonald,ClementJ