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Standardizing Laboratory Data by Mapping to LOINC

机译:通过映射到LOINC标准化实验室数据

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摘要

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.
机译: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局(IHS)医疗机构的本地实验室数据。开发了自动映射工具来分配LOINC代码。在这些站点上,他们可以使用映射工具将63%到76%的本地活动实验室测试映射到LOINC。 11%到27%的测试是手动映射的。由于这些测试的信息不完整或不正确,他们无法将LOINC代码分配给6%至19%的实验室测试。结果取得了近似其他类似的努力。将实验室测试名称映射到LOINC代码将使IHS可以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模型。

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