title: Towards a standardised representation of a knowledge base for adverse drug event prevention.
abstract: Knowledge representation is an important part of knowledge engineering activities that is crucial for enabling knowledge sharing and reuse. In this regard, standardised formalisms and technologies play a significant role. Especially for the medical domain, where knowledge may be tacit, not articulated and highly diverse, the development and adoption of standardised knowledge representations is highly challenging and of outmost importance to achieve knowledge interoperability. To this end, this paper presents a research effort towards the standardised representation of a Knowledge Base (KB) encapsulating rule-based signals and procedures for Adverse Drug Event (ADE) prevention. The KB constitutes an integral part of Clinical Decision Support Systems (CDSSs) to be used at the point of care. The paper highlights the requirements at the domain of discourse with respect to knowledge representation, according to which GELLO (an HL7 and ANSI standard) has been adopted. Results of our prototype implementation are presented along with the advantages and the limitations introduced by the employed approach.
authors.affiliation: Aristotle University, Medical School, Lab of Medical Informatics, Thessaloniki, GREECE. bikout@med.auth.gr
authors.forename: Vassilis
authors.initials: V
authors.lastname: Koutkias
authors.forename: Katerina
authors.initials: K
authors.lastname: Lazou
authors.forename: Paul
authors.initials: P
authors.lastname: de Clercq
authors.forename: Nicos
authors.initials: N
authors.lastname: Maglaveras
mesh_terms: D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D064420:Drug-Related Side Effects and Adverse Reactions / Q000517:prevention & control*; D006801:Humans; D051188:Knowledge Bases; D017410:Practice Guidelines as Topic; D018875:Vocabulary, Controlled