title: Constructing Clinical Decision Support Systems for Adverse Drug Event Prevention: A Knowledge-based Approach.
abstract: A knowledge-based approach is proposed that is employed for the construction of a framework suitable for the management and effective use of knowledge on Adverse Drug Event (ADE) prevention. The framework has as its core part a Knowledge Base (KB) comprised of rule-based knowledge sources, that is accompanied by the necessary inference and query mechanisms to provide healthcare professionals and patients with decision support services in clinical practice, in terms of alerts and recommendations on preventable ADEs. The relevant Knowledge Based System (KBS) is developed in the context of the EU-funded research project PSIP (Patient Safety through Intelligent Procedures in Medication). In the current paper, we present the foundations of the framework, its knowledge model and KB structure, as well as recent progress as regards the population of the KB, the implementation of the KBS, and results on the KBS verification in decision support operation.
authors.affiliation: Aristotle University, Medical School, Lab of Medical Informatics, Thessaloniki, Greece;
authors.forename: Vassilis
authors.initials: V
authors.lastname: Koutkias
authors.forename: Vassilis
authors.initials: V
authors.lastname: Kilintzis
authors.forename: George
authors.initials: G
authors.lastname: Stalidis
authors.forename: Katerina
authors.initials: K
authors.lastname: Lazou
authors.forename: Chrysa
authors.initials: C
authors.lastname: Collyda
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Chazard
authors.forename: Peter
authors.initials: P
authors.lastname: McNair
authors.forename: Regis
authors.initials: R
authors.lastname: Beuscart
authors.forename: Nicos
authors.initials: N
authors.lastname: Maglaveras
mesh_terms: D020000:Decision Support Systems, Clinical; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D051188:Knowledge Bases