Maria Kvist
Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden/Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Sweden
Sumithra Velupillai
Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden
Ladda ner artikel
Ingår i: Scandinavian Conference on Health Informatics 2013; Copenhagen; Denmark; August 20; 2013
Linköping Electronic Conference Proceedings 91:12, s. 55-59
Publicerad: 2013-08-21
ISBN: 978-91-7519-518-6
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In health care; there is a need for patient adaption of clinica ltext; so that patients can understand their own health records. As a base for construction of automated texts implification tools; characterization of the clinical language is needed.
We describe a corpus of 0.43 mill. radiology reports from a University Hospital; characterize it quantitatively and perform a qualitative content analysis. The results show thata limited set of words and phrases are recurrent in the reports and can be used for exchange to more easy-to-read vocabulary. Semantic categories such as body parts; findings; procedures; and administrative information can be used in the simplification process.
This study investigates the potentials and the pitfalls for texts implification of medical Swedish into general Swedish for laymen.
Clinical text; health records; text simplification; natural language processing; patient empowerment.
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