IDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences

Buffy Lloyd, Danielle Groat, Curtiss B. Cook, David Kaufman, Maria Grando

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations

    Abstract

    Diabetes is a complex disease affecting 29.1 million (9.3%) US citizens [1]. It is a chronic illness that needs continual medical care and ongoing patient self-management, education, and support [2]. There is no cure for diabetes, requiring patients to conduct frequent self-monitoring of blood glucose and dosing of insulin in many cases. Evidence has shown that patients are more adherent to their diabetes management plan when they incorporate personal lifestyle choices [3]. To address the challenge of empowering patients to better manage their diabetes, we have developed a novel mobile application prototype, iDECIDE, that refines rapid-acting insulin dose calculations by incorporating two important patient variables in addition to carbohydrates consumed that are not a part of standard insulin dose calculation algorithms: exercise and alcohol intake [4, 5]. A retrospective analysis for the calibration and evaluation of iDECIDE is underway by comparing recommendations made by the application against dosing recommendations made by insulin pumps.

    Original languageEnglish (US)
    Title of host publicationStudies in Health Technology and Informatics
    PublisherIOS Press
    Pages93-97
    Number of pages5
    Volume216
    ISBN (Print)9781614995630
    DOIs
    StatePublished - 2015
    Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
    Duration: Aug 19 2015Aug 23 2015

    Publication series

    NameStudies in Health Technology and Informatics
    Volume216
    ISSN (Print)09269630
    ISSN (Electronic)18798365

    Other

    Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
    CountryBrazil
    CitySao Paulo
    Period8/19/158/23/15

    Keywords

    • Clinical decision support systems Mobile application Disease self-management
    • Diabetes mellitus
    • Insulin dosing

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

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  • Cite this

    Lloyd, B., Groat, D., Cook, C. B., Kaufman, D., & Grando, M. (2015). IDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences. In Studies in Health Technology and Informatics (Vol. 216, pp. 93-97). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-93