兽医临床病理学中解释性知识的SNOMED表示。

SNOMED representation of explanatory knowledge in veterinary clinical pathology.

作者信息

Zimmerman Kurt L, Wilcke Jeff R, Robertson John L, Feldman Bernard F, Kaur Taranjit, Rees Loren R, Spackman Kent A

机构信息

Department of Biomedical Sciences and Pathobiology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.

出版信息

Vet Clin Pathol. 2005;34(1):7-16. doi: 10.1111/j.1939-165x.2005.tb00002.x.

DOI:10.1111/j.1939-165x.2005.tb00002.x

PMID:15732011

Abstract

BACKGROUND

The Systematized Nomenclature of Medicine (SNOMED) is an established standard nomenclature for the expression of human and veterinary medical concepts. Nomenclature standards ease sharing of medical information, create common points of understanding, and improve data aggregation and analysis.

OBJECTIVES

The objective of this study was to determine whether SNOMED adequately represented concepts relevant to veterinary clinical pathology.

METHODS

Concepts were isolated from 3 different types of clinical pathology documents: 1) a textbook (Textbook), 2) the Results sections of industry pathology reports (Findings), and Discussion sections from industry pathology reports (Discussion). Concepts were matched (mapped) by 2 reviewers to semantically-equivalent SNOMED concepts. A quality score of 3 (good match), 2 (problem match), or 1 (no match) was recorded along with the SNOMED hierarchical location of each mapped concept. Results were analyzed using Cohen's Kappa statistic to assess reviewer agreement and chi-square tests to evaluate association between document type and quality score.

RESULTS

The percentage of good matches was 48.3% for the Textbook, 45.4% for Findings, and 47.5% for Discussion documents, with no significant difference among documents. Of remaining concepts, 40% were partially expressed by SNOMED and 14% did not match. Mean reviewer agreement on quality score assignments was 76.8%.

CONCLUSIONS

Although SNOMED representation of veterinary clinical pathology content was limited, missing and problem concepts were confined to a relatively small area of terminology. This limitation should be addressed in revisions of SNOMED to optimize SNOMED for veterinary clinical pathology applications.

摘要

背景

医学系统命名法（SNOMED）是用于表达人类和兽医学概念的既定标准命名法。命名法标准有助于医学信息的共享，创建共同的理解点，并改善数据汇总和分析。

目的

本研究的目的是确定SNOMED是否充分代表了与兽医临床病理学相关的概念。

方法

从3种不同类型的临床病理学文档中分离出概念：1）一本教科书（《教科书》），2）行业病理学报告的结果部分（《发现》），以及行业病理学报告的讨论部分（《讨论》）。由2名审阅者将这些概念与语义等效的SNOMED概念进行匹配（映射）。记录每个映射概念的质量得分3（匹配良好）、2（匹配有问题）或1（不匹配）以及SNOMED层次位置。使用科恩卡方统计量分析结果以评估审阅者间的一致性，并使用卡方检验评估文档类型与质量得分之间的关联。