Systems and methods for use of insulin information for meal indication

Patent metadata

Field	Value
Publication number	US-12402841-B2
Application number	US-202418611402-A
Country	US
Kind code	B2
Filing date	Mar 20, 2024
Priority date	Mar 15, 2013
Publication date	Sep 2, 2025
Grant date	Sep 2, 2025

Abstract

A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

First claim

What is claimed is:

1. A method for providing a missed insulin bolus reminder, the method comprising:
receiving, by a processor of a computing device, glucose data representative of sensed glucose levels of a patient from a continuous glucose monitoring sensor;
receiving, by the processor, insulin information related to insulin administered to the patient;
determining, by the processor, an occurrence of a meal;
identifying, by the processor, a portion of the glucose data as being temporally related to the meal;
detecting, by the processor, a pattern in the portion of the glucose data temporally related to the meal; and
providing, by the computing device, a warning to notify the patient of a missed insulin bolus when the detected pattern is indicative of a rapid rise in the glucose data and no insulin information is received.

2. The method of claim 1 , wherein receiving the insulin information comprises receiving the insulin information from a dosing device.

3. The method of claim 1 , wherein the occurrence of the meal is determined based on a user input of the meal via an input of the computing device.

4. The method of claim 1 , wherein the occurrence of the meal is determined implicitly based on other collected data.

5. The method of claim 1 , wherein the occurrence of the meal is determined based on occurrence of an event.

6. The method of claim 1 , further comprising providing a recommendation based on the detected pattern.

7. The method of claim 6 , wherein the recommendation comprises a timing or a size of an insulin bolus.

8. The method of claim 1 , further comprising providing the warning to notify the patient of the missed insulin bolus when no insulin information is received for a predetermined period of time.

9. The method of claim 1 , further comprising providing the warning to notify the patient of the missed insulin bolus when no meal is determined for a predetermined period of time.

10. A system for providing a missed insulin bolus reminder, the system comprising:
a continuous glucose monitoring sensor configured to collect glucose data representative of sensed glucose levels of a patient; and
a computing device in communication with the continuous glucose monitoring sensor, wherein the computing device comprises:
a processor;
a memory coupled to the processor and storing instructions configured to cause the processor to:
receive glucose data from the continuous glucose monitoring sensor;
receive insulin information related to insulin administered to the patient;
determine an occurrence of a meal;
detect a pattern in a portion of the glucose data temporally related to the meal; and
provide a warning to notify the patient of a missed insulin bolus when the pattern is indicative of a rapid rise in the glucose data and no insulin information is received.

11. The method of claim 1 , wherein the portion of the glucose data temporally related to the meal comprises glucose data in a period of time following the meal.

12. The system of claim 10 , wherein the processor is further caused to provide the warning to notify the patient of the missed insulin bolus when no insulin information is received for a predetermined period of time.

13. The system of claim 10 , wherein the processor is further caused to provide the warning to notify the patient of the missed insulin bolus when no meal is detected for a predetermined period of time.

14. The system of claim 10 , wherein the processor is further caused to provide a recommendation based on the detected pattern.

15. The system of claim 14 , wherein the recommendation comprises a timing or a size of an insulin bolus.

16. The system of claim 10 , wherein receiving the insulin information comprises receiving the insulin information from a dosing device.

17. The system of claim 10 , wherein the occurrence of the meal is determined based on a user input of the meal via an input of the computing device.

18. The system of claim 10 , wherein the occurrence of the meal is determined based on occurrence of an event.

19. The system of claim 10 , wherein the computing device is a smartphone.

20. A computing device, comprising:
a processor;
a memory coupled to the processor and storing instructions configured to cause the processor to:
receive glucose data from a continuous glucose monitoring sensor in communication with the computing device, wherein the continuous glucose monitoring sensor is configured to collect glucose data representative of sensed glucose levels of a patient;
receive insulin information related to insulin administered to the patient;
determine an occurrence of a meal;
detect a pattern in a portion of the glucose data temporally related to the meal; and
provide a warning to notify the patient of a missed insulin bolus when the pattern is indicative of a rapid rise in the glucose data and no insulin information is received.

Assignees

• Abbott Diabetes Care Inc

Inventors

• Budiman Erwin Satrya
• Doniger Kenneth J
• Dunn Timothy C
• Crouther Nathan C
• Berman Glenn
• Wolpert Howard A

Classifications

• G16H20/10

  relating to drugs or medications, e.g. for ensuring correct administration to patients · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/7282

  Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818) · CPC title

• A61B5/4848

  Monitoring or testing the effects of treatment, e.g. of medication · CPC title

• G16Z99/00

  Subject matter not provided for in other main groups of this subclass · CPC title