Abstract
This paper presents the result of a research study aimed at reducing the amount of time and effort required to translate the Logical Observation Identifiers Names and Codes (LOINC®). The first section introduces LOINC and its role in interconnecting medical units. The structure of the LOINC terms is analyzed and various ways of decomposing the terms are presented. These involve finding and applying various patterns and storing the results in a database. The database is used by a website aimed at allowing medical staff to easily and efficiently translate the terms into any language. The LOINC codes are then recomposed from the translated fragments. The paper shows the key points of creating this website. The emphasis is placed on usability and a rich client interface. The advantage of the suggested method is decrease of the translation effort. A social network is used for authentication, relieving the users of the need to remember a new password. In the end, the paper presents the result of piloting the website by medical staff and students.
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- 1.
Throughout this article, the term atomic will be used in the sense of a word or series of words that can be individually translated into any language and then reassembled back into the (larger) cell value, without relying on any particularities of the English language, like word order. Thus, a series of sentences could be separated into individual ones, that would be separately translated, however a sentence would not be split into individual words, because, for example, the word order would be different when translating into another language.
- 2.
The web application has been localized to provide translations into Romanian.
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Jurcau, DA., Stoicu-Tivadar, V., Serban, A. (2016). Using Modern Technologies to Facilitate Translating Logical Observation Identifiers Names and Codes. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_18
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DOI: https://doi.org/10.1007/978-3-319-18296-4_18
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