Lau L M, Johnson K, Monson K, Lam S H, Huff S M
3M Health Care, Murray, Utah, USA.
Proc AMIA Symp. 2000:472-6.
LOINC is emerging as the standard for laboratory result names, and there is great interest in mapping legacy terms from laboratory systems to it. However, the mapping task is non-trivial, requiring significant resource commitment and a good understanding of the LOINC identifying attributes for the laboratory result names. Because the number of results in a laboratory system may range from around 500 to 2000 or more, manual, one-by-one matching, even with the aid of the RELMA matching tool provided by LOINC, is time consuming and laborious. Moreover, human variation may introduce mapping inconsistencies or errors. Through our experience mapping the results from a variety of laboratory systems to LOINC, an automated mapping method has been developed and is described in this paper. This method allows for data from the laboratory information system to be provided in a manner familiar to the submitting technician, and makes use of parsing and logic rules, combined with synonyms, attribute relationships and mapping frequency data, to perform automated matching to LOINC.
LOINC正在成为实验室结果名称的标准，人们对将实验室系统中的旧术语映射到该标准非常感兴趣。然而，映射任务并非易事，需要大量资源投入，并且需要对实验室结果名称的LOINC识别属性有很好的理解。由于实验室系统中的结果数量可能从大约500到2000个或更多，即使借助LOINC提供的RELMA匹配工具进行手动逐个匹配也既耗时又费力。此外，人为差异可能会导致映射不一致或错误。通过我们将各种实验室系统的结果映射到LOINC的经验，开发了一种自动映射方法，并在本文中进行了描述。该方法允许以提交技术人员熟悉的方式提供来自实验室信息系统的数据，并利用解析和逻辑规则，结合同义词、属性关系和映射频率数据，对LOINC进行自动匹配。
