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, Adela Grando

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

7 Citations (Scopus)

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

Fingerprint

Mobile Applications
Patient Preference
Insulin
Medical problems
Short-Acting Insulin
Blood Glucose Self-Monitoring
Carbohydrates
Self Care
Health care
Calibration
Glucose
Life Style
Patient Care
Alcohols
Blood
Chronic Disease
Education
Pumps
Exercise
Monitoring

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

Cite this

Lloyd, B., Groat, D., Cook, C. B., Kaufman, D., & Grando, A. (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

IDECIDE : A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences. / Lloyd, Buffy; Groat, Danielle; Cook, Curtiss B.; Kaufman, David; Grando, Adela.

Studies in Health Technology and Informatics. Vol. 216 IOS Press, 2015. p. 93-97 (Studies in Health Technology and Informatics; Vol. 216).

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

Lloyd, B, Groat, D, Cook, CB, Kaufman, D & Grando, A 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, Studies in Health Technology and Informatics, vol. 216, IOS Press, pp. 93-97, 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, Brazil, 8/19/15. https://doi.org/10.3233/978-1-61499-564-7-93
Lloyd B, Groat D, Cook CB, Kaufman D, Grando A. 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. IOS Press. 2015. p. 93-97. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-564-7-93
Lloyd, Buffy ; Groat, Danielle ; Cook, Curtiss B. ; Kaufman, David ; Grando, Adela. / IDECIDE : A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences. Studies in Health Technology and Informatics. Vol. 216 IOS Press, 2015. pp. 93-97 (Studies in Health Technology and Informatics).
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