A methodology to develop a clinical ontology for healthcare business

Macedo, Mario and Isaias, Pedro (2011). A methodology to develop a clinical ontology for healthcare business. In: Human Interface and the Management of Information: Interacting with Information, Pt 2. Symposium on Human Interface/14th International Conference on Human-Computer Interaction (HCI), Orlando, FL, United States, (285-291). 9-14 July 2011. doi:10.1007/978-3-642-21669-5_34


Author Macedo, Mario
Isaias, Pedro
Title of paper A methodology to develop a clinical ontology for healthcare business
Conference name Symposium on Human Interface/14th International Conference on Human-Computer Interaction (HCI)
Conference location Orlando, FL, United States
Conference dates 9-14 July 2011
Proceedings title Human Interface and the Management of Information: Interacting with Information, Pt 2   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2011
Sub-type Fully published paper
DOI 10.1007/978-3-642-21669-5_34
Open Access Status Not yet assessed
ISBN 9783642216688
9783642216695
ISSN 0302-9743
1611-3349
Volume 6772
Start page 285
End page 291
Total pages 7
Language eng
Abstract/Summary The development of clinical ontologies using common clinical data is a very important issue to record healthcare patient history, to use medical guidelines and to services accountability. The usage of terminologies already developed and available like SNOMED is a benefit. However many doctors argue that they prefer to continue using natural language and unstructured text to record patient data. Their point of view is that natural language is much more complete and flexible than standardized terminologies. This study intends to prove that it is possible to recognize patterns from natural language and identify the clinical procedures as they would be written with a normalized language. Another delivery of this study would be a precisely accountability of healthcare services.
Keyword Ontology
Medical Guideline
Clinical Natural Language
Snomed
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Collection: Institute for Teaching and Learning Innovation Publications
 
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