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本文引用的文献

1
A rationale for parsimonious laboratory term mapping by frequency.一种基于频率的简约实验室术语映射的基本原理。
AMIA Annu Symp Proc. 2007 Oct 11;2007:771-5.
2
Automated mapping of local radiology terms to LOINC.将本地放射学术语自动映射到LOINC。
AMIA Annu Symp Proc. 2005;2005:769-73.
3
Toward semantic interoperability in home health care: formally representing OASIS items for integration into a concept-oriented terminology.迈向家庭医疗保健中的语义互操作性:正式表示OASIS项目以集成到面向概念的术语中。
J Am Med Inform Assoc. 2005 Jul-Aug;12(4):410-7. doi: 10.1197/jamia.M1786. Epub 2005 Mar 31.
4
Missing clinical information during primary care visits.基层医疗就诊期间临床信息缺失。
JAMA. 2005 Feb 2;293(5):565-71. doi: 10.1001/jama.293.5.565.
5
LOINC, a universal standard for identifying laboratory observations: a 5-year update.LOINC,一种用于识别实验室检查结果的通用标准:5年更新情况
Clin Chem. 2003 Apr;49(4):624-33. doi: 10.1373/49.4.624.
6
Extending the LOINC conceptual schema to support standardized assessment instruments.扩展LOINC概念模式以支持标准化评估工具。
J Am Med Inform Assoc. 2002 Nov-Dec;9(6):586-99. doi: 10.1197/jamia.m1033.
7
The PHQ-9: validity of a brief depression severity measure.PHQ-9:一种简短抑郁严重程度测量工具的效度
J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.
8
Evaluation of the clinical LOINC (Logical Observation Identifiers, Names, and Codes) semantic structure as a terminology model for standardized assessment measures.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。
J Am Med Inform Assoc. 2000 Nov-Dec;7(6):529-38. doi: 10.1136/jamia.2000.0070529.
9
Development of the Logical Observation Identifier Names and Codes (LOINC) vocabulary.逻辑观察标识符名称和编码(LOINC)词汇表的开发。
J Am Med Inform Assoc. 1998 May-Jun;5(3):276-92. doi: 10.1136/jamia.1998.0050276.

在LOINC®中表示患者评估。

Representing Patient Assessments in LOINC®.

作者信息

Vreeman Daniel J, McDonald Clement J, Huff Stanley M

机构信息

Regenstrief Institute, Inc and Indiana University School of Medicine, Indianapolis, IN;

出版信息

AMIA Annu Symp Proc. 2010 Nov 13;2010:832-6.

PMID:21347095
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3041404/
Abstract

Without being included in accepted vocabulary standards, the results of completed patient assessment instruments cannot be easily shared in health information exchanges. To address this important barrier, we have developed a robust model to represent assessments in LOINC through iterative refinement and collaborative development. To capture the essential aspects of the assessment, the LOINC model represents the hierarchical panel structure, global item attributes, panel-specific item attributes, and structured answer lists. All assessments are available in a uniform format within the freely available LOINC distribution. We have successfully added many assessments to LOINC in this model, including several federally required assessments that contain functioning and disability content. We continue adding to this "master question file" to further enable interoperable exchange, storage, and processing of assessment data.

摘要

由于未被纳入公认的词汇标准,已完成的患者评估工具的结果难以在健康信息交换中轻松共享。为解决这一重要障碍,我们通过迭代优化和协作开发,构建了一个强大的模型,用于在LOINC中表示评估。为了捕捉评估的关键方面,LOINC模型体现了分层面板结构、全局项目属性、特定面板项目属性和结构化答案列表。所有评估在免费提供的LOINC发行版中均采用统一格式。我们已通过此模型成功将多项评估添加到LOINC中,并添加了多项包含功能和残疾内容的联邦要求评估。我们将继续扩充这个“主问题文件”,以进一步实现评估数据的可互操作交换、存储和处理。