IP Library Granted Patent US 10,535,426
Granted Patent B2
US 10,535,426 · App. 16/273,926 · Granted Jan 14, 2020

Insulin management

Inventors: Robert C. Booth (Columbus, NC); Harry Hebblewhite (Atlanta, GA)
Assignee: Aseko, Inc.
G16H20/60A61B5/14532A61B5/4839A61M5/14A61M5/1723G16H10/40G16H20/17G16H40/67G16H80/00A61B5/4848A61M2005/14208A61M2005/14296A61M2005/1726A61M2205/18A61M2205/3327A61M2205/35A61M2205/3553A61M2205/3584A61M2205/3592A61M2205/50A61M2205/502A61M2205/507A61M2205/52A61M2205/581A61M2230/201
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,535,426
App. No.
16/273,926
Granted
Jan 14, 2020
Kind
B2
Abstract

A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. The blood glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Claims (76)

1. A method comprising:

receiving, at data processing hardware, a glucose measurement of a patient;

determining, by the data processing hardware, a glucose type of the received glucose measurement;

when the determined glucose type comprises one of a pre-lunch glucose measurement or a pre-dinner glucose measurement:

obtaining, by the data processing hardware, a previous Carbohydrate-to-Insulin Ratio (CIR) for an immediately previous meal consumed by the patient, the immediately previous meal consumed by the patient comprising one of breakfast when the determined glucose type comprises the pre-lunch glucose measurement or lunch when the determined glucose type comprises the pre-dinner glucose type;

adjusting, by the data processing hardware, the previous CIR for the immediately previous meal consumed by the patient based on the received glucose measurement; and

determining, by the data processing hardware, a recommended meal bolus for the determined glucose type based on the adjusted previous CIR, the recommended meal bolus corresponding to an insulin dose of rapid-acting insulin to be administered to the patient at the time of day associated with the determined glucose type to bring and maintain the patient's glucose level into a target range; and

transmitting, from the data processing hardware, to a patient device remotely located from the data processing hardware and in communication with the data processing hardware via a network, the recommended meal bolus at the time of day associated with the determined glucose type, the recommended meal bolus when received by the patient device causing the patient device to display a number of units of insulin for the patient to administer using the recommended meal bolus.

2. The method of claim 1 , wherein adjusting the previous CIR for the immediately previous meal consumed by the patient comprises:

determining an adjustment factor based on the received glucose measurement; and

adjusting the previous CIR for the immediately previous meal consumed by the patient by dividing the previous CIR by the adjustment factor.

3. The method of claim 2 , wherein determining the adjustment factor comprises:

determining whether the received glucose measurement is within one of a plurality of target ranges of values; and

when the received glucose measurement is within one of the plurality of target ranges of values, setting the adjustment factor to a target adjustment factor associated with the corresponding target range of values that includes the received glucose measurement.

4. The method of claim 1 , further comprising determining, by the data processing hardware, a pre-meal correction bolus by calculating:

CB=(BG−BG Target )/CF,

wherein CB is the pre-meal correction bolus, BG is the received glucose measurement, BG Target is a target glucose value of a patient, and CF is a correction factor.

5. The method of claim 1 , wherein the glucose type is associated with a time of measuring the glucose measurement, the glucose type including one of a midsleep glucose measurement, a pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and a bedtime glucose measurement.

6. The method of claim 5 , wherein the midsleep glucose measurement, the pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and the bedtime glucose measurement are scheduled in a daily repetitive rotational order.

7. The method of claim 1 , wherein determining the recommended meal bolus comprises:

receiving a number of carbohydrates to be consumed by the patient for a meal associated with the determined glucose type; and

dividing the received number of carbohydrates by the adjusted previous CIR.

8. The method of claim 1 , further comprising, when the determined glucose type comprises a pre-breakfast glucose measurement:

obtaining, by the data processing hardware, a previous CIR for dinner;

obtaining, by the data processing hardware, a previous bedtime glucose measurement; and

determining, by the data processing hardware, a recommended CIR for breakfast based on the previous CIR for dinner and the previous bedtime glucose measurement.

9. The method of claim 8 , wherein determining the recommended CIR for breakfast comprises:

determining a bedtime adjustment factor based on the previous bedtime glucose measurement; and

determining a recommended CIR for breakfast by dividing the previous CIR for dinner by the bedtime adjustment factor.

10. The method of claim 8 , further comprising:

receiving, at the data processing hardware, a number of carbohydrates to be consumed by the patient for breakfast; and

determining, by the data processing hardware, a recommended breakfast bolus by dividing the received number of carbohydrates by the recommended CIR for breakfast.

11. The method of claim 1 , further comprising, when the determined glucose type comprises a pre-breakfast glucose measurement:

selecting, by the data processing hardware, a governing glucose measurement as a lesser one of a previous midsleep glucose measurement or the pre-breakfast glucose measurement;

determining, by the data processing hardware, a basal adjustment factor for adjusting a current day's recommended basal dose based on the selected governing glucose measurement;

obtaining, by the data processing hardware, a previous day's bedtime recommended basal dose; and

determining, by the data processing hardware, the current day's recommended basal dose by multiplying the adjustment factor times the previous day's bedtime recommended basal dose, the current day's recommended basal dose corresponding to an insulin dose of long-acting insulin to be administered to the patient at a configurable frequency of one, two, or three times per day.

12. A system comprising:

data processing hardware; and

memory hardware in communication with the data processing hardware and storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:

receiving a glucose measurement of a patient;

determining a glucose type of the received glucose measurement;

when the determined glucose type comprises one of a pre-lunch glucose measurement or a pre-dinner glucose measurement:

obtaining a previous Carbohydrate-to-Insulin Ratio (CIR) for an immediately previous meal consumed by the patient, the immediately previous meal consumed by the patient comprising one of breakfast when the determined glucose type comprises the pre-lunch glucose measurement or lunch when the determined glucose type comprises the pre-dinner glucose type;

adjusting the previous CIR for the immediately previous meal consumed by the patient based on the received glucose measurement; and

determining a recommended meal bolus for the determined glucose type based on the adjusted previous CIR, the recommended meal bolus corresponding to an insulin dose of rapid-acting insulin to be administered to the patient at the time of day associated with the determined glucose type to bring and maintain the patient's glucose level into a target range; and

transmitting the recommended meal bolus to a patient device in communication with the data processing hardware at the time of day associated with the determined glucose type, the recommended meal bolus when received by the patient device causing the patient device to display a number of units of insulin for the patient to administer using the recommended meal bolus.

13. The system of claim 12 , wherein adjusting the previous CIR for the immediately previous meal consumed by the patient comprises:

determining an adjustment factor based on the received glucose measurement; and

adjusting the previous CIR for the immediately previous meal consumed by the patient by dividing the previous CIR by the adjustment factor.

14. The system of claim 13 , wherein determining the adjustment factor comprises:

determining whether the received glucose measurement is within one of a plurality of target ranges of values; and

when the received glucose measurement is within one of the plurality of target ranges of values, setting the adjustment factor to a target adjustment factor associated with the corresponding target range of values that includes the received glucose measurement.

15. The system of claim 12 , wherein the operations further comprise determining a pre-meal correction bolus by calculating:

CB=(BG−BG Target )/CF,

wherein CB is the pre-meal correction bolus, BG is the received glucose measurement, BG Target is a target glucose value of a patient, and CF is a correction factor.

16. The system of claim 12 , wherein the glucose type is associated with a time of measuring the glucose measurement, the glucose type including one of a midsleep glucose measurement, a pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and a bedtime glucose measurement.

17. The system of claim 16 , wherein the midsleep glucose measurement, the pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and the bedtime glucose measurement are scheduled in a daily repetitive rotational order.

18. The system of claim 12 , wherein determining the recommended meal bolus comprises:

receiving a number of carbohydrates to be consumed by the patient for a meal associated with the determined glucose type; and

dividing the received number of carbohydrates by the adjusted previous CIR.

19. The system of claim 12 , wherein the operations further comprise, when the determined glucose type comprises a pre-breakfast glucose measurement:

obtaining a previous CIR for dinner;

obtaining a previous bedtime glucose measurement; and

determining a recommended CIR for breakfast based on the previous CIR for dinner and the previous bedtime glucose measurement.

20. The system of claim 19 , wherein determining the recommended CIR for breakfast comprises:

determining a bedtime adjustment factor based on the previous bedtime glucose measurement; and

determining a recommended CIR for breakfast by dividing the previous CIR for dinner by the bedtime adjustment factor.

21. The system of claim 19 , wherein the operations further comprise:

receiving a number of carbohydrates to be consumed by the patient for breakfast; and

determining a recommended breakfast bolus by dividing the received number of carbohydrates by the recommended CIR for breakfast.

22. The system of claim 12 , wherein the operations further comprise, when the determined glucose type comprises a pre-breakfast glucose measurement:

selecting a governing glucose measurement as a lesser one of a previous midsleep glucose measurement or the pre-breakfast glucose measurement;

determining a basal adjustment factor for adjusting a current day's recommended basal dose based on the selected governing glucose measurement;

obtaining a previous day's bedtime recommended basal dose; and

determining the current day's recommended basal dose by multiplying the adjustment factor times the previous day's bedtime recommended basal dose, the current day's recommended basal dose corresponding to an insulin dose of long-acting insulin to be administered to the patient at a configurable frequency of one, two, or three times per day.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 2, 2024
From: ASEKO, INC.
To: GLYTEC, LLC
Reel/Frame 067320/0764 →
SECURITY INTEREST Recorded Aug 8, 2023
From: ASEKO, INC.
To: HAYFIN SERVICES LLP, AS THE AGENT
Reel/Frame 064517/0872 →
RELEASE OF SECURITY INTEREST Recorded Aug 8, 2023
From: NEWLIGHT CAPITAL LLC
To: ASEKO, INC.; GLYTEC, LLC
Reel/Frame 064530/0362 →
SECURITY INTEREST Recorded Jun 6, 2022
From: ASEKO, INC.; GLYTEC, LLC
To: NEWLIGHT CAPITAL LLC, AS SERVICER
Reel/Frame 060283/0849 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 20, 2019
From: BOOTH, ROBERT C.; HEBBLEWHITE, HARRY
To: ASEKO, INC.
Reel/Frame 051062/0268 →
Continuity (7)
Continuation 15942740 · Apr 2, 2018
Continuation 15342606 · Nov 3, 2016
Continuation 14938997 · Nov 12, 2015
Division 14524918 · Oct 27, 2014
Provisional Application 62009575 · Jun 9, 2014
Provisional Application 61934300 · Jan 31, 2014
Related Publication 20190180858A1 · Jun 13, 2019