Tackling polypharmacy : a multi-source decision support system
Abstract
Managing 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.
Citation
Redeker , 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/SHTI200248 conference
Publication
Digital Personalized Health and Medicine
ISSN
0926-9630Type
Conference item
Collections
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