An Ontology Based Scheme for Formal Care Plan Meta-Description

Kaldoudi, Eleni; Drosatos, George; Portokallidis, Nick and Third, Allan (2016). An Ontology Based Scheme for Formal Care Plan Meta-Description. XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016: MEDICON 2016, March 31st–April 2nd 2016, Paphos, Cyprus, 57 pp. 785–790.

DOI (Digital Object Identifier) Link:	https://doi.org/10.1007/978-3-319-32703-7_153
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Abstract

Contemporary healthcare delivery is based on state-of-the-art scientific best practices captured in systematically developed formal care plans which include guidelines, clinical protocols, integrated care pathways, etc. Research so far has addressed the computerized execution of formal care plans by developing a number of related representation languages, execution engines and integrated platforms to support real time care plan execution. However, much less effort has been put into organizing available formal care plans. In this paper we propose a conceptual model and an ontology for a meta-description of the formal care plan. The proposed conceptual model and ontology allows semantic tagging and enrichment of clinical protocols so that they can be used and reused across platforms and also be linked directly to other relevant scientific information, e.g. published works in Pub-Med or personal health records, and other clinical information systems. It also allows modelling of the provenance and justifications for modifications or alterations to care plans.

Item Type:	Journal Item
ISSN:	1680-0737
Extra Information:	Online ISBN 978-3-319-32703-7 Volume 57 of the series IFMBE Proceedings
Keywords:	Ontology; Conceptual model; Clinical algorithm; Clinical practice guideline; Care pathway
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC) Health and Wellbeing PRA (Priority Research Area)
Item ID:	46809
Depositing User:	Kay Dave
Date Deposited:	15 Jul 2016 09:52
Last Modified:	17 Aug 2017 11:01
URI:	http://oro.open.ac.uk/id/eprint/46809
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