Articles producció científica> Enginyeria Informàtica i Matemàtiques

Modelling and assessing one- and two-drug dose titrations

  • Identification data

    Identifier: imarina:9280239
    Handle: http://hdl.handle.net/20.500.11797/imarina9280239
  • Authors:

    Riaño D
    Pečnik Š
    Alonso JR
    Kamišalić A
  • Others:

    Author, as appears in the article.: Riaño D; Pečnik Š; Alonso JR; Kamišalić A
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: RIAÑO RAMOS, DAVID
    Keywords: Medication errors Knowledge representation Evidence-based medicine Drug dose titration
    Abstract: In health-care, there is a need to quantify medical errors. Among these errors, we observe wrong dose prescriptions. Drug dose titration (DT) is the process by which dosage is progressively adjusted to the patient till a steady dose is reached. Depending on the clinical disease, drug, and patient condition, dose titration can follow different procedures. Once modeled, these procedures can serve for clinical homogenization, standardization, decision support and retrospective analysis. Here, we propose a language to model dose titration procedures. The language was used to formalize one- and two-drug titration of chronic and acute cases, and to perform retrospective analysis of the drug titration processes on 253 patients diagnosed of diabetes mellitus type 2 and treated with metformin, 321 patients treated of chonic heart failure with furosemide, 155 patients with hyperuricemia treated with allopurinol as initial drug and febuxostat as alternative drug, and 187 hyperuricemia patients with primary drug allopurinol and supplementary drug probenecid, in order to identify different types of drug titration deviations from standard DT methods.
    Thematic Areas: Saúde coletiva Medicine (miscellaneous) Medicina ii Medicina i Medical informatics Interdisciplinar Engineering, biomedical Engenharias iv Computer science, artificial intelligence Ciência da computação Artificial intelligence
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: david.riano@urv.cat
    Author identifier: 0000-0002-1608-0215
    Record's date: 2022-11-06
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0933365722001087
    Papper original source: Artificial Intelligence In Medicine. 131
    APA: Riaño D; Pečnik Š; Alonso JR; Kamišalić A (2022). Modelling and assessing one- and two-drug dose titrations. Artificial Intelligence In Medicine, 131(), -. DOI: 10.1016/j.artmed.2022.102343
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1016/j.artmed.2022.102343
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Artificial Intelligence,Computer Science, Artificial Intelligence,Engineering, Biomedical,Medical Informatics,Medicine (Miscellaneous)
    Medication errors
    Knowledge representation
    Evidence-based medicine
    Drug dose titration
    Saúde coletiva
    Medicine (miscellaneous)
    Medicina ii
    Medicina i
    Medical informatics
    Interdisciplinar
    Engineering, biomedical
    Engenharias iv
    Computer science, artificial intelligence
    Ciência da computação
    Artificial intelligence
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