Diabetes therapy management system for recommending basal pattern adjustments

Abstract

An electronic computing device as presented here includes a device communications layer, a processor device, and a reporting layer. The device communications layer receives sensor data for a user of an insulin infusion device, wherein the sensor data indicates blood glucose levels of the user for a specified period of time, and over a plurality of days. The processor device analyzes the received sensor data to detect an event occurrence indicative of a correctable basal rate setting of the insulin infusion device. The reporting layer generates a report containing a graphical representation of the received sensor data and a recommendation to adjust a basal rate setting of the insulin infusion device, wherein the recommendation is intended to address the detected event occurrence.

Description

CROSS-REFERENCE TO RELATED APPLICATION(S)[0001]This application claims the benefit of U.S. provisional patent application No. 61 / 656,765, filed Jun. 7, 2012 (the entire content of which is incorporated by reference herein).TECHNICAL FIELD[0002]Embodiments of the present invention are directed to systems and methods for diabetes therapy management. Specifically, embodiments of the present invention are directed to systems and methods for analyzing patient information to generate reports to assist in the management of diabetes therapy.BACKGROUND[0003]The pancreas of a normal healthy person produces and releases insulin into the blood stream in response to elevated blood plasma glucose levels. Beta cells (β-cells), which reside in the pancreas, produce and secrete the insulin into the blood stream, as it is needed. If β-cells become incapacitated or die, a condition known as Type I diabetes mellitus (or in some cases if β-cells produce insufficient quantities of insulin, Type II diabet...

AI Technical Summary

Benefits of technology

The present invention is about a system and method for analyzing diabetes by collecting glucose level readings and identifying common events and patterns in the readings. The system can determine the time period when a person's glucose levels are most likely to be affected by a common event, such as a meal or insulin injection. The system can also suggest insulin dosage recommendations based on the analysis of the glucose level readings. The technical effects of the invention include improved diabetes management and better glucose control.

Problems solved by technology

Moreover, the glucose level readings may exclude those from the most recent days, especially if a user is learning a new behavior.

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