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Authors: Marco Alfano 1 ; Biagio Lenzitti 2 ; Giosuè Lo Bosco 3 and Valerio Perticone 2

Affiliations: 1 University of Palermo and Anghelos Centre on Communication Studies, Italy ; 2 University of Palermo, Italy ; 3 University of Palermo and Euro-Mediterranean Institute of Science and Technology, Italy

ISBN: 978-989-758-068-0

Keyword(s): E-Health, Public Health, Healthcare Management Systems, Patient Empowerment, Plain Language, Consumer Health Vocabulary, Infobutton, Electronic Health Record, Personal Health Record.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cloud Computing ; Data Engineering ; Design and Development Methodologies for Healthcare IT ; e-Health ; e-Health for Public Health ; Electronic Health Records and Standards ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Platforms and Applications ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: Medical texts (reports, articles, etc.) are usually written by professionals (physicians, medical researchers, etc.) who use their own language and communication style. On the other hand, these texts are often read by health consumers (as in the case of medical reports) who do not have the same skills and vocabularies of the experts and can have difficulties in text comprehension. To help a health consumer in understanding a medical text, it would be desirable to have an automatic system that, given a text written with medical (technical) terms, translates them in simple or plain language and provides additional information with the same kind of language. We have designed such a system. It processes online medical documents and provides health consumers with the needed information for their understanding. To this end, we use a medical vocabulary for finding the technical terms in the medical texts, a consumer health vocabulary (CHV) for translating the technical terms into their consu mer equivalents and a health-consumer dictionary for finding supplementary information on the terms. We have built a prototype that processes Italian medical reports and uses infobuttons next to the technical terms for allowing easy retrieval of the desired information. (More)

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Paper citation in several formats:
Alfano, M.; Lenzitti, B.; Lo Bosco, G. and Perticone, V. (2015). An Automatic System for Helping Health Consumers to Understand Medical Texts .In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 622-627. DOI: 10.5220/0005283606220627

@conference{healthinf15,
author={Marco Alfano. and Lenzitti, B. and Giosuè Lo Bosco. and Valerio Perticone.},
title={An Automatic System for Helping Health Consumers to Understand Medical Texts },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={622-627},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005283606220627},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - An Automatic System for Helping Health Consumers to Understand Medical Texts
SN - 978-989-758-068-0
AU - Alfano, M.
AU - Lenzitti, B.
AU - Lo Bosco, G.
AU - Perticone, V.
PY - 2015
SP - 622
EP - 627
DO - 10.5220/0005283606220627

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