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医学临床术语系统命名法(SNOMED-CT)会增进我们对过敏性疾病所造成的疾病负担的理解吗?

Will Systematized Nomenclature of Medicine-Clinical Terms improve our understanding of the disease burden posed by allergic disorders?

作者信息

Simpson C R, Anandan C, Fischbacher C, Lefevre K, Sheikh A

机构信息

Department of General Practice and Primary Care, Primary Care Clinical Informatics Unit, The University of Aberdeen, Scotland, UK.

出版信息

Clin Exp Allergy. 2007 Nov;37(11):1586-93. doi: 10.1111/j.1365-2222.2007.02830.x. Epub 2007 Sep 18.

Abstract

Analysis of data collected through the use of high-quality computerized systems is vital if we are to understand the health burden from allergic disease. Coding systems currently used, such as the World Health Organization's International Classification of Diseases and the Read system, have however been criticized as being unduly restrictive and hence inadequate for the detailed coding of allergic problems. Greater granularity of coding can be achieved by using the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) system, which will be adopted by several countries including the United States and United Kingdom. Before the introduction of SNOMED-CT, it is important that several issues are resolved, including ensuring that adequate mapping occurs from existing systems, that the SNOMED-CT is trialled before general implementation, and that training is provided for users new to coding as part of their clinical practice. Of particular importance is that the allergy fraternity bring to light any gaps in allergy coding through the creation of a working group to advise the newly formed International Healthcare Terminology Standards Development Organisation. There is also a role for allergy experts, working in conjunction with government agencies and professional bodies, to determine a recommended set of codes, which will obviate some of the inevitable challenges raised by a very fluid coding structure for those wishing to undertake secondary analysis of health care datasets.

摘要

如果我们想要了解过敏性疾病带来的健康负担,那么对通过使用高质量计算机系统收集的数据进行分析至关重要。然而,目前使用的编码系统,如世界卫生组织的《国际疾病分类》和Read系统,已被批评为限制过多,因此不足以对过敏问题进行详细编码。使用医学临床术语系统命名法(SNOMED-CT)系统可以实现更高的编码粒度,美国和英国等几个国家将采用该系统。在引入SNOMED-CT之前,解决几个问题很重要,包括确保从现有系统进行充分的映射、在全面实施之前对SNOMED-CT进行试用,以及为编码新手提供培训作为其临床实践的一部分。特别重要的是,过敏学界应通过成立一个工作组来揭示过敏编码中的任何差距,以便为新成立的国际医疗术语标准制定组织提供建议。过敏专家与政府机构和专业团体合作,确定一套推荐代码也很有必要,这将消除那些希望对医疗保健数据集进行二次分析的人因编码结构变化无常而不可避免面临的一些挑战。

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