Knowledge engineering for adverse drug event prevention : on the design and development of a uniform, contextualized and sustainable knowledge-based framework

Kilintzis, Vasileios/ Stalidis, George/ Durand-Texte, Ludovic/ Niès, Julie/ Lazou, Katerina/ Koutkias, Vasileios/ Maglaveras, Nicos/ Beuscart, Régis/ McNair, Peter/ Σταλίδης, Γιώργος/ Λάζου, Κατερίνα/ Κούτκιας, Βασίλειος/ Κιλίντζης, Βασίλειος/ Μαγκλαβέρας, Νίκος


Institution and School/Department of submitter: ΤΕΙ Θεσσαλονίκης
Keywords: Παρενέργειες φαρμάκων;Side effects of drugs;Ανεπιθύμητες ενέργειες φαρμάκων;Adverse drug reactions;Ανάλυση πραγματικών δεδομένων;Factual data analysis;Συστήματα που βασίζονται στη γνώση (Πληροφορική);Knowledge-based systems (Computer science);Ιατρική μηχανική;Medical engineering;Κλινική μηχανική;Clnical engineering
Issue Date: Jun-2012
Publisher: Elsevier
Citation: Koutkias,Stalidis, V. (4 Ιουνίου 2012). Knowledge engineering for adverse drug event prevention: On the design and development of a uniform, contextualized and sustainable knowledge-based framework. Knowledge engineering for adverse drug event prevention: On the design and development of a uniform, contextualized and sustainable knowledge-based framework 45, (3). Διαθέσιμο σε: http://www.sciencedirect.com/science/article/pii/S1532046412000081 (Ανακτήθηκε 6 Ιουλίου 2015).
Journal: Journal of Biomedical Informatics, vol. 45, no. 3, 2012
Abstract: The primary aim of this work was the development of a uniform, contextualized and sustainable knowledge-based framework to support adverse drug event (ADE) prevention via Clinical Decision Support Systems (CDSSs). In this regard, the employed methodology involved first the systematic analysis and formalization of the knowledge sources elaborated in the scope of this work, through which an application-specific knowledge model has been defined. The entire framework architecture has been then specified and implemented by adopting Computer Interpretable Guidelines (CIGs) as the knowledge engineering formalism for its construction. The framework integrates diverse and dynamic knowledge sources in the form of rule-based ADE signals, all under a uniform Knowledge Base (KB) structure, according to the defined knowledge model. Equally important, it employs the means to contextualize the encapsulated knowledge, in order to provide appropriate support considering the specific local environment (hospital, medical department, language, etc.), as well as the mechanisms for knowledge querying, inference, sharing, and management. In this paper, we present thoroughly the establishment of the proposed knowledge framework by presenting the employed methodology and the results obtained as regards implementation, performance and validation aspects that highlight its applicability and virtue in medication safety.
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Εμπορίας και Διαφήμισης,2012
URI: http://195.251.240.227/jspui/handle/123456789/4619
Other Identifiers: 10.1016/j.jbi.2012.01.007
http://www.sciencedirect.com/science/article/pii/S1532046412000081
Appears in Collections:Δημοσιεύσεις σε Περιοδικά

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