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Book Chapter

Using Ontologies for an Intelligent Patient Modelling, Adaptation and Management System

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Citation

Bouamrane M, Rector A & Hurrell M (2008) Using Ontologies for an Intelligent Patient Modelling, Adaptation and Management System. In: Meersman R & Tari Z (eds.) On the Move to Meaningful Internet Systems: OTM 2008.. Lecture Notes in Computer Science, 5332. Berlin: Springer Berlin Heidelberg, pp. 1458-1470. https://doi.org/10.1007/978-3-540-88873-4_36

Abstract
Health Information Management Systems (HIMS) face considerable technical and organisational barriers before successful deployment in hospitals. In addition, many existing systems have significant limitations, including: lack of flexibility and adaptability to complex requirements and processes and a general lack of “intelligence”. They offer basic patient management functionalities but do not go far beyond core functionalities. Due to their rigid architectures, these systems are hard to maintain and update. Recent advances in knowledge representation, including ontologies, can offer powerful and appealing solution to these problems. In this paper, we describe our current work on using ontologies for adapted information collection and patient representation. We describe the iterative transformation of a basic risk assessment software into a “knowledge-aware” system. We argue that using ontologies is both conceptually appealing and a pragmatic solution to implementing a shift from simple management systems to intelligent systems in healthcare. In turn, we believe such systems will efficiently support clinicians in their daily activities and will result in improved delivery of tailored patient care.

Keywords
Iterative Step; Computerize Physician Order Entry; Risk Assessment System; Health Information Management System; Patient Medical History

StatusPublished
Funders
Title of seriesLecture Notes in Computer Science
Number in series5332
Publication date09/11/2008
Publication date online09/11/2008
PublisherSpringer Berlin Heidelberg
Place of publicationBerlin
ISSN of series1611-3349
ISBN9783540888727
eISBN9783540888734

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Professor Matt-Mouley Bouamrane

Professor Matt-Mouley Bouamrane

Professor in Health/Social Informatics, Computing Science

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