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dc.contributor.authorRedeker, Guilherme
dc.contributor.authorKuster Filipe Bowles, Juliana
dc.contributor.editorPape-Haugaard, Louise
dc.contributor.editorLovis, Christian
dc.contributor.editorCorte Madsen, Inge
dc.contributor.editorWeber, Patrick
dc.contributor.editorNielsen, Per Hostrup
dc.contributor.editorScott, Philip
dc.date.accessioned2020-06-29T09:30:02Z
dc.date.available2020-06-29T09:30:02Z
dc.date.issued2020-06-01
dc.identifier.citationRedeker , G & Kuster Filipe Bowles , J 2020 , Tackling polypharmacy : a multi-source decision support system . in L Pape-Haugaard , C Lovis , I Corte Madsen , P Weber , P H Nielsen & P Scott (eds) , Digital Personalized Health and Medicine : Proceedings of MIE 2020 . vol. 270 , Studies in Health Technology and Informatics , vol. 270 , IOS Press , pp. 688 - 692 , 30th Medical Informatics Europe conference (MIE) , Geneva , Switzerland , 28/04/20 . https://doi.org/10.3233/SHTI200248en
dc.identifier.citationconferenceen
dc.identifier.isbn9781643680828
dc.identifier.isbn9781643680835
dc.identifier.issn0926-9630
dc.identifier.otherPURE: 266637925
dc.identifier.otherPURE UUID: b3f497cd-b763-426d-892b-f7878c2370bd
dc.identifier.urihttp://hdl.handle.net/10023/20170
dc.description.abstractManaging the use of multiple medicines, also known as polypharmacy, is a challenge for physicians, pharmacists and patients alike, and is a particular concern for patients with multiple chronic conditions (aka multimorbidity). Patients with multimorbidity are often required to take a considerable number of medications for their different ongoing conditions, and managing/revising these medications effectively is a challenge. There is a need to periodically rearrange drugs taking into account patient’s preferences and avoiding adverse drug reactions. We present an incremental, constraint solver based framework for a clinical decision support system that makes it possible to check drug prescriptions using information from multiple sources, including a constraint database and patient records. We illustrate how it can be used to manage clinical conditions while reducing polypharmacy problems and undesired side effects in a patient-centric approach.
dc.format.extent5
dc.language.isoeng
dc.publisherIOS Press
dc.relation.ispartofDigital Personalized Health and Medicineen
dc.relation.ispartofseriesStudies in Health Technology and Informaticsen
dc.rightsCopyright © 2020 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).en
dc.subjectPolypharmacyen
dc.subjectMultimorbidityen
dc.subjectConstraint solversen
dc.subjectClinical decision support systemsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccRMen
dc.titleTackling polypharmacy : a multi-source decision support systemen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.3233/SHTI200248
dc.identifier.urlhttp://ebooks.iospress.nl/volume/digital-personalized-health-and-medicine-proceedings-of-mie-2020en


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