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通过映射到LOINC对实验室数据进行标准化。

Standardizing laboratory data by mapping to LOINC.

作者信息

Khan Agha N, Griffith Stanley P, Moore Catherine, Russell Dorothy, Rosario Arnulfo C, Bertolli Jeanne

机构信息

Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS 08, Atlanta, GA 30333, USA.

出版信息

J Am Med Inform Assoc. 2006 May-Jun;13(3):353-5. doi: 10.1197/jamia.M1935. Epub 2006 Feb 24.

Abstract

The authors describe a pilot project to standardize local laboratory data at five Indian Health Service (IHS) medical facilities by mapping laboratory test names to Logical Observation Identifier Names and Codes (LOINC). An automated mapping tool was developed to assign LOINC codes. At these sites, they were able to map from 63% to 76% of the local active laboratory tests to LOINC using the mapping tool. Eleven percent to 27% of the tests were mapped manually. They could not assign LOINC codes to 6% to 19% of the laboratory tests due to incomplete or incorrect information about these tests. The results achieved approximate other similar efforts. Mapping of laboratory test names to LOINC codes will allow IHS to aggregate laboratory data more easily for disease surveillance and clinical and administrative reporting efforts. This project may provide a model for standardization efforts in other health systems.

摘要

作者描述了一个试点项目,通过将实验室检测名称映射到逻辑观察标识符名称和代码(LOINC),对印度卫生服务(IHS)的五家医疗机构的本地实验室数据进行标准化。开发了一个自动映射工具来分配LOINC代码。在这些站点,他们能够使用映射工具将63%至76%的本地现行实验室检测映射到LOINC。11%至27%的检测是手动映射的。由于这些检测的信息不完整或不正确,他们无法为6%至19%的实验室检测分配LOINC代码。这些结果与其他类似努力取得的成果相近。将实验室检测名称映射到LOINC代码将使IHS能够更轻松地汇总实验室数据,用于疾病监测以及临床和行政报告工作。该项目可能为其他卫生系统的标准化工作提供一个范例。

相似文献

1
Standardizing laboratory data by mapping to LOINC.通过映射到LOINC对实验室数据进行标准化。
J Am Med Inform Assoc. 2006 May-Jun;13(3):353-5. doi: 10.1197/jamia.M1935. Epub 2006 Feb 24.
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