Computer-Based Monitoring of Blood Glucose Levels

• US 20140303466A1
• Filed: 04/04/2014
• Published: 10/09/2014
• Est. Priority Date: 04/06/2013
• Status: Abandoned Application

• Current Assignee: Applivate LLC
• Original Assignee: Applivate LLC
• Inventors: Fitzpatrick, John Stephen, Hayashida, Clifton Isamu, Zar, Harvey, McFarland, James, Pantalon, Michael, Pantalon, Marianne Sharsky
• Application Number:
  US14/245,388
• Publication Number:
  US 20140303466A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Automating the processes of receiving, storing and analyzing blood glucose readings obtained from a diabetic using one or more computer-based systems may provide a number of advantages in the management of levels of glucose in the diabetic'"'"'s blood. Information regarding a blood glucose reading obtained from a user may be transmitted in one or more messages to the user, to an interested party (e.g. family member), or to a third party over a network, and may serve as the basis for a computer-based motivation strategy to encourage the diabetic to comply with a blood glucose management regime. Additionally, such information may be manually or automatically posted to a social network, thereby enabling the diabetic to receive words of encouragement and support from his or her social network connections, and thereby increase his or her motivation to comply with the blood glucose management regime accordingly.

Claims

1. A mobile computer system for monitoring blood glucose levels comprising:

a glucose meter configured to obtain at least one blood glucose reading from a user; and

a communications device configured to automatically transmit information associated with the at least one blood glucose reading to a monitoring system.

2. The mobile computer system of claim 1, further comprising a relay device configured to:

automatically receive the information associated with the at least one blood glucose reading from the communications device; and

automatically transmit at least some of the information associated with the at least one blood glucose reading to the monitoring system.

3. The mobile computer system of claim 2, wherein the relay device is further configured to display a log comprising at least some of the information received from the communications device on at least one computer display.

4. The mobile computer system of claim 1, wherein the information associated with the at least one blood glucose reading comprises at least one of:

a measured blood glucose level of the user;

a timestamp;

a geotag;

or

user-generated information associated with the blood glucose reading.

5. A computer-implemented method for monitoring blood glucose levels comprising:

receiving information associated with a first blood glucose reading obtained from a user;

analyzing at least some of the information associated with the first blood glucose reading obtained from the user;

generating a first electronic message based at least in part on the analyzed information; and

providing the first electronic message to at least one of;

the user;

or

a party associated with the user.

6. The computer-implemented method of claim 5, wherein analyzing the at least some of the information associated with the first blood glucose reading obtained from the user comprises:

identifying, at a monitoring system, a blood glucose management regime comprising at least one requirement; and

comparing, at the monitoring system, at least some of the analyzed information to the at least one requirement.

7. The computer-implemented method of claim 6, wherein analyzing the at least some of the information associated with the first blood glucose reading obtained from the user further comprises:

identifying, at the monitoring system, at least one element of the analyzed information that does not satisfy the at least one requirement.

8. The computer-implemented method of claim 7,

wherein the at least one requirement is a compliant blood glucose range;

wherein the at least one element is a measured blood glucose level of the user that is substantially outside the compliant blood glucose range; and

wherein the first electronic message comprises an indication that the measured blood glucose level of the user is substantially outside the compliant blood glucose range.

9. The computer-implemented method of claim 7,

wherein the at least one requirement is a predetermined interval of time;

wherein the at least one element is a timestamp indicating that the information associated with the first blood glucose reading obtained from the user was received by the monitoring system substantially outside the predetermined interval of time; and

wherein the first electronic message comprises at least one of;

an indication that the information associated with the first blood glucose reading obtained from the user was received by the monitoring system substantially outside the predetermined interval of time;

or

an indication that a second blood glucose reading is required;

10. The computer-implemented method of claim 7, wherein identifying the at least one element of the analyzed information that does not satisfy the at least one requirement further comprises:

detecting, at the monitoring system, whether the at least one element exceeds a predetermined intervention threshold,

wherein, if the at least one element exceeds the predetermined intervention threshold, the first electronic message comprises an indication that the user requires assistance.

11. The computer-implemented method of claim 6, wherein analyzing the at least some of the information associated with the first blood glucose reading obtained from the user further comprises:

identifying at least one element of the analyzed information that satisfies the at least one requirement.

12. The computer-implemented method of claim 11, further comprising:

identifying a first attribute of an at least one attribute of the user;

selecting, based at least in part on the first attribute, a first motivation strategy comprising a first plurality of awards; and

selecting a first award of the first motivation strategy based at least in part on the at least one element;

wherein the first electronic message comprises an indication that user qualifies for the first award.

13. The computer-implemented method of claim 12, further comprising:

selecting, based at least in part on the first attribute, a second motivation strategy comprising a second plurality of awards;

selecting a second award of the second motivation strategy based at least in part on the at least one element;

generating a second electronic message comprising an indication that the user qualifies for the second award; and

providing the second electronic message to at least one of;

the user;

or

the party associated with the user.

14. The computer-implemented method of claim 12, further comprising:

identifying a second attribute of the at least one attribute of the user;

selecting, based at least in part on the second attribute, a second motivation strategy comprising a second plurality of awards;

selecting a second award of the second motivation strategy based at least in part on the at least one element;

generating a second electronic message comprising an indication that the user qualifies for the second award; and

providing the second electronic message to at least one of the following;

the user;

or

the party associated with the user.

15. The computer-implemented method of claim 12, wherein the at least one attribute of the user comprises at least one of:

an age of the user;

a gender of the user;

a race of the user;

a height of the user;

a weight of the user;

a location of the user;

a medical device used by the user;

a medication taken by the user;

a hobby of the user;

a family history of the user;

or

genetic information regarding the user.

16. The computer-implemented method of claim 5, wherein the information associated with the first blood glucose reading obtained from the user comprises at least one of:

a measured blood glucose level of the user;

a timestamp;

a geotag;

or

user-generated information associated with the first blood glucose reading.

17. The computer-implemented method of claim 5,

wherein the information associated with the first blood glucose reading obtained from the user includes a first value of an attribute of the user at a first time,

wherein the first blood glucose reading was obtained from the user at the first time;

and

wherein analyzing the at least some of the information associated with the first blood glucose reading obtained from the user further comprises;

identifying a second value of the attribute of the user at a second time,

determining whether the second value of the attribute is consistent with the first value of the attribute; and

upon determining that the second value of the attribute is consistent with the first value of the attribute,

generating the first electronic message based at least in part on one of the first value of the attribute of the user or the first blood glucose reading.

18. The computer-implemented method of claim 17, wherein the first value of the attribute is based at least in part on a measured blood glucose level of the user.

19. A computer-implemented method for monitoring blood glucose levels comprising:

obtaining, by way of a blood glucose meter, at least one blood glucose reading from a first user having a user attribute;

automatically transmitting, by way of a mobile computing device associated with the blood glucose meter, information associated with the at least one blood glucose reading to a monitoring system;

making a posting, by way of the mobile computing device, to a first social network account associated with the first user,

wherein the posting comprises at least some of the information associated with the at least one blood glucose reading;

20. The computer-implemented method of claim 19, further comprising:

identifying, by way of the first social network account associated with the first user, a second social network account associated with a second user, based at least in part on one of;

the at least some of the information associated with the at least one blood glucose reading;

or

the user attribute of the first user.

21. The computer-implemented method of claim 20, further comprising:

receiving, at the mobile computing device, a message from the second user,

wherein the message is based at least in part on the posting.

22. The computer-implemented method of claim 19, wherein the user attribute of the first user comprises at least one of:

a diabetic condition;

an age of the first user;

a gender of the first user;

a race of the first user;

a height of the first user;

a weight of the first user;

a location of the first user;

a medical device used by the first user;

a medication taken by the first user;

a hobby of the first user;

a family history of the first user;

or

genetic information regarding the first user.