This paper describes part of an ongoing effort to improve the readability of Swedish electronic health records (EHRs). An EHR contains systematic documentation of a single patient's medical history across time, entered by healthcare professionals with the purpose of enabling safe and informed care. Linguistically, medical records exemplify a highly specialised domain, which can be superficially characterised as having telegraphic sentences involving displaced or missing words, abundant abbreviations, spelling variations including misspellings, and terminology. We report results on lexical simplification of Swedish EHRs, by which we mean detecting the unknown, out-of-dictionary words and trying to resolve them either as compounded known words, abbreviations or misspellings.
CITATION STYLE
Grigonyte, G., Kvist, M., Velupillai, S., & Wirén, M. (2014). Improving readability of Swedish electronic health records through lexical simplification: First results. In Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations, PITR 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014 (pp. 74–83). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-1209
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