Abstract

A computer-implemented system and method for improving glucose management through cloud-based modeling of circadian profiles is provided. For each daily meal period, two sets of pre- and post-meal period data that include a blood glucose level and a diabetes medication dosing are stored into a circadian profile for a diabetic patient in a cloud computing infrastructure. Predicted blood glucose is modeled over the infrastructure and the access will be validated. A model, including expected blood glucose values and their predicted errors is created from the blood glucose levels in each profile and visualized in a log-normal distribution. Target ranges for blood glucose are determined and superimposed over the expected values. Pharmacodynamics of the medication are obtained. An incremental change in dosing of the medication is propagated over a model day and the expected blood glucose values and their predicted errors are adjusted in response to the incremental dosing change.


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Document History
  • Publication: Jul 1, 2014
  • Application: Jul 26, 2012
    US US 201213559547 A
  • Priority: Jul 26, 2012
    US US 201213559547 A

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