Improved Glucose Management Through Cloud-based Modeling Of Circadian Profiles

  • Published: Jan 30, 2014
  • Earliest Priority: Jul 26 2012
  • Family: 5
  • Cited Works: 1
  • Cited by: 0
  • Cites: 3
  • Additional Info: Cited Works Full text
Abstract

A computer-implemented system (10) and method (30) for managing diabetes through cloud computing with circadian profiles (61) is provided. A plurality of records containing a circadian profile (61) is stored in a database (14, 25) maintained in a cloud computing infrastructure (21). The circadian profile includes meal period categories (53), typical measurements of pre-meal and post-meal self-measured blood glucose, and diabetes medication (55) dosed during each of the meal period categories (53). An executable application (15, 28) is used to model predicted blood glucose levels, including collecting the self-measured blood glucose measurements, determining and visualizing expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84), propagating a suggested incremental change in dosing of the medication (55), and adjusting the visualized expected blood glucose values (83, 88, 89, 111, 112) and their predicted errors (84) based on pharmacodynamics of the medication (55).


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Document History
  • Publication: Jan 30, 2014
  • Application: Jul 25, 2013
    WO US 2013/0052131 W
  • Priority: Jul 26, 2012
    US US 201213559547 A

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