Standardizing laboratory data by mapping to LOINC
Standardizing laboratory data by mapping to LOINC
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DOI：
10.1197/jamia.m1935
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发表时间：
2006-05-01
影响因子：
6.4
通讯作者：
Bertolli, Jeanne
中科院分区：
文献类型：
--
作者：
Khan, Agha N.;Griffith, Stanley P.;Bertolli, Jeanne
作者描述了一个试点项目，该项目通过将实验室测试名称映射到逻辑观察标识符名称和代码 (LOINC) 来标准化五个印度卫生服务 (IHS) 医疗机构的当地实验室数据。开发了自动映射工具来分配 LOINC 代码。在这些地点，他们能够使用映射工具将 63% 到 76% 的当地活跃实验室测试映射到 LOINC。 11% 到 27% 的测试是手动映射的。由于有关这些测试的信息不完整或不正确，他们无法为 6% 到 19% 的实验室测试分配 LOINC 代码。所取得的结果与其他类似的努力相近。将实验室测试名称映射到 LOINC 代码将使 IHS 能够更轻松地汇总实验室数据，以进行疾病监测以及临床和行政报告工作。该项目可以为其他卫生系统的标准化工作提供一个模型。
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.