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评估临床LOINC(逻辑观察标识符、名称和代码)语义结构作为标准化评估措施的术语模型。

Evaluation of the clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures.

作者信息

Bakken S, Cimino J J, Haskell R, Kukafka R, Matsumoto C, Chan G K, Huff S M

机构信息

Columbia University, New York, New York 10032, USA.

出版信息

J Am Med Inform Assoc. 2000 Nov-Dec;7(6):529-38. doi: 10.1136/jamia.2000.0070529.


DOI:10.1136/jamia.2000.0070529
PMID:11062226
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC129661/
Abstract

OBJECTIVE: The purpose of this study was to test the adequacy of the Clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures. METHODS: After extension of the definitions, 1, 096 items from 35 standardized assessment instruments were dissected into the elements of the Clinical LOINC semantic structure. An additional coder dissected at least one randomly selected item from each instrument. When multiple scale types occurred in a single instrument, a second coder dissected one randomly selected item representative of each scale type. RESULTS: The results support the adequacy of the Clinical LOINC semantic structure as a terminology model for standardized assessments. Using the revised definitions, the coders were able to dissect into the elements of Clinical LOINC all the standardized assessment items in the sample instruments. Percentage agreement for each element was as follows: component, 100 percent; property, 87.8 percent; timing, 82.9 percent; system/sample, 100 percent; scale, 92.6 percent; and method, 97.6 percent. DISCUSSION: This evaluation was an initial step toward the representation of standardized assessment items in a manner that facilitates data sharing and re-use. Further clarification of the definitions, especially those related to time and property, is required to improve inter-rater reliability and to harmonize the representations with similar items already in LOINC.

摘要

目的:本研究旨在检验临床LOINC(逻辑观察标识符、名称和代码)语义结构作为标准化评估指标术语模型的适用性。 方法:在扩展定义后,将来自35种标准化评估工具的1096个条目分解为临床LOINC语义结构的要素。另一名编码人员从每种工具中至少随机抽取一个条目进行分解。当单个工具中出现多种量表类型时,第二名编码人员从每种量表类型中随机抽取一个具有代表性的条目进行分解。 结果:结果支持临床LOINC语义结构作为标准化评估术语模型的适用性。使用修订后的定义,编码人员能够将样本工具中的所有标准化评估条目分解为临床LOINC的要素。每个要素的一致率如下:组件,100%;属性,87.8%;时间,82.9%;系统/样本,100%;量表,92.6%;方法,97.6%。 讨论:本次评估是朝着以促进数据共享和重用的方式表示标准化评估条目迈出的第一步。需要进一步澄清定义,尤其是与时间和属性相关的定义,以提高评分者间的可靠性,并使表示方式与LOINC中已有的类似条目保持一致。

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