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An ontology-based approach for detecting and classifying inappropriate prescribing

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dc.contributor.authorRedeker, Guilherme Alfredo
dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.editorVanthienen, Jan
dc.contributor.editorKliegr, Tomáš
dc.contributor.editorFodor, Paul
dc.contributor.editorLanti, Davide
dc.contributor.editorArndt, Dörthe
dc.contributor.editorKostylev, Egor V.
dc.contributor.editorMitsikas, Theodoros
dc.contributor.editorSoylu, Ahmet
dc.date.accessioned2023-09-19T16:30:01Z
dc.date.available2023-09-19T16:30:01Z
dc.date.issued2023-09-15
dc.identifier292981520
dc.identifierccd46fa1-1dee-44e7-bc9c-f9fa0772a226
dc.identifier85174147252
dc.identifier.citationRedeker , G A & Kuster Filipe Bowles , J 2023 , An ontology-based approach for detecting and classifying inappropriate prescribing . in J Vanthienen , T Kliegr , P Fodor , D Lanti , D Arndt , E V Kostylev , T Mitsikas & A Soylu (eds) , RuleML+RR’23 : 17th International Rule Challenge and 7th Doctoral Consortium, September 18–20, 2023, Oslo, Norway . CEUR Workshop Proceedings , vol. 3485 , CEUR-WS . < https://ceur-ws.org/Vol-3485/paper7459.pdf >en
dc.identifier.issn1613-0073
dc.identifier.otherORCID: /0000-0002-8722-2559/work/142904380
dc.identifier.otherORCID: /0000-0002-5918-9114/work/142905254
dc.identifier.urihttps://hdl.handle.net/10023/28426
dc.descriptionFunding: Bowles is partially supported by Austrian FWF Meitner Fellowship M-3338 N.en
dc.description.abstractThe Beers Criteria, widely used by healthcare professionals, list so-called Potentially Inappropriate Medications (PIMs) which older adults in certain circumstances should avoid. Manually identifying medications that belong to the Beers Criteria can be time-consuming and error-prone, as the criteria are complex and subject to frequent updates. Moreover, it is not available in a (formal) representation that health systems can interpret and reason with automatically. This paper proposes an ontology as a formal representation of the Beers Criteria, and describes the elements and the taxonomy underlying the ontology. We include inference rules to enable automated detection and categorisation of drugs classified as PIMs. By automatically detecting drugs that belong to the Beers Criteria, the ontology, once linked with decision support systems, can be used to support healthcare providers in ensuring that older adults receive safe and effective medical care.
dc.format.extent15
dc.format.extent1344329
dc.language.isoeng
dc.publisherCEUR-WS
dc.relation.ispartofRuleML+RR’23en
dc.relation.ispartofseriesCEUR Workshop Proceedingsen
dc.subjectOntologyen
dc.subjectInference rulesen
dc.subjectPotentially inappropriate medicationsen
dc.subjectClinical decision support systemsen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectZA4050 Electronic information resourcesen
dc.subject3rd-DASen
dc.subject.lccRMen
dc.subject.lccZA4050en
dc.titleAn ontology-based approach for detecting and classifying inappropriate prescribingen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.urlhttps://ceur-ws.org/en
dc.identifier.urlhttps://ceur-ws.org/Vol-3485/paper7459.pdfen


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