Professional language in Swedish clinical text: Linguistic characterization and comparative studies

This study investigates the linguistic characteristics of Swedish clinical text in radiology reports and doctor's daily notes from electronic health records (EHRs) in comparison to general Swedish and biomedical journal text. We quantify linguistic features through a comparative register analys...

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Vydané v:Nordic journal of linguistics Ročník 37; číslo 2; s. 297 - 323
Hlavní autori: Smith, Kelly, Megyesi, Beata, Velupillai, Sumithra, Kvist, Maria
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cambridge, UK Cambridge University Press 01.10.2014
Predmet:
Abbreviations
Biomedicine
clinical text
comparative register analysis
Comparative studies
Computational Linguistics
Computer Generated Language Analysis
Computerized medical records
Discourse Functions
doctor's daily notes
electronic health records
Function words
Health records
Languages
Linguistics
Medical Language
Medical records
medical terminology
part-of-speech tagging
Quantitative analysis
Radiology
radiology reports
Scientific Technical Language
Scripts
Sentence Structure
Simplification
Speech
Statistical Analysis
Swedish
Swedish language
Tagging
Technical terms
Verbs
Sweden
radiology reports
doctor’s daily notes
part-of-speech tagging
medical terminology
clinical text
comparative register analysis
electronic health records
ISSN:0332-5865, 1502-4717, 1502-4717
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Shrnutí:This study investigates the linguistic characteristics of Swedish clinical text in radiology reports and doctor's daily notes from electronic health records (EHRs) in comparison to general Swedish and biomedical journal text. We quantify linguistic features through a comparative register analysis to determine how the free text of EHRs differ from general and biomedical Swedish text in terms of lexical complexity, word and sentence composition, and common sentence structures. The linguistic features are extracted using state-of-the-art computational tools: a tokenizer, a part-of-speech tagger, and scripts for statistical analysis. Results show that technical terms and abbreviations are more frequent in clinical text, and lexical variance is low. Moreover, clinical text frequently omit subjects, verbs, and function words resulting in shorter sentences. Clinical text not only differs from general Swedish, but also internally, across its sub-domains, e.g. sentences lacking verbs are significantly more frequent in radiology reports. These results provide a foundation for future development of automatic methods for EHR simplification or clarification.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0332-5865
1502-4717
1502-4717
DOI:10.1017/S0332586514000213