Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
J Am Med Inform Assoc. 2013 Mar-Apr;20(2):293-7. doi: 10.1136/amiajnl-2012-001063. Epub 2012 Jul 16.
Logical Observation Identifiers Names and Codes (LOINC) mapping of laboratory data is often a question of the effort of mapping compared with the benefits of the structure achieved. The new LOINC mapping assistant RELMA (version 2011) has the potential to reduce the effort required for semi-automated mapping. We examined quality, time effort, and sustainability of such mapping.
To verify the mapping quality, two samples of 100 laboratory terms were extracted from the laboratory system of a German university hospital and processed in a semi-automated fashion with RELMA V.5 and LOINC V.2.34 German translation DIMDI to obtain LOINC codes. These codes were reviewed by two experts from each of two laboratories. Then all 2148 terms used in these two laboratories were processed in the same way.
In the initial samples, 93 terms from one laboratory system and 92 terms from the other were correctly mapped. Of the total 2148 terms, 1660 could be mapped. An average of 500 terms per day or 60 terms per hour could be mapped. Of the laboratory terms used in 2010, 99% could be mapped.
Semi-automated LOINC mapping of non-English laboratory terms has become promising in terms of effort and mapping quality using the new version RELMA V.5. The effort is probably lower than for previous manual mapping. The mapping quality equals that of manual mapping and is far better than that reported with previous automated mapping activities.
RELMA V.5 and LOINC V.2.34 offer the opportunity to start thinking again about LOINC mapping even in non-English languages, since mapping effort is acceptable and mapping results equal those of previous manual mapping reports.
实验室数据的逻辑观察标识符名称和代码（LOINC）映射通常是映射工作与所获得结构收益之间的权衡问题。新的 LOINC 映射助手 RELMA（版本 2011）具有减少半自动映射所需工作量的潜力。我们研究了这种映射的质量、时间投入和可持续性。
为了验证映射质量，从一家德国大学医院的实验室系统中提取了两个包含 100 个实验室术语的样本，并使用 RELMA V.5 和 LOINC V.2.34 德国 DIMDI 翻译以半自动方式处理，以获得 LOINC 代码。这些代码由来自两个实验室的两位专家分别进行了审查。然后，以相同的方式处理这两个实验室使用的所有 2148 个术语。
在初始样本中，一个实验室系统中的 93 个术语和另一个实验室系统中的 92 个术语得到了正确映射。在总共 2148 个术语中，有 1660 个可以映射。每天可以映射平均 500 个术语或每小时 60 个术语。在 2010 年使用的实验室术语中，99%可以映射。
使用新版本 RELMA V.5，非英语实验室术语的半自动 LOINC 映射在工作量和映射质量方面都具有很大的潜力。工作量可能低于以前的手动映射。映射质量与手动映射相当，并且远远优于以前的自动化映射活动报告的质量。
RELMA V.5 和 LOINC V.2.34 提供了一个机会，即使在非英语语言环境下，也可以重新考虑 LOINC 映射，因为映射工作是可以接受的，映射结果与以前的手动映射报告相当。
