Distributed system architecture for continuous glucose monitoring

• US 10,376,144 B2
• Filed: 05/11/2016
• Issued: 08/13/2019
• Est. Priority Date: 05/12/2015
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mensinger, Michael Robert, Cohen, Eric, Dattaray, Basab, Hampapuram, Hari, Kamath, Apurv Ullas, Madigan, Stephen, Mayou, Phil
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US15/152,473
• Publication Number:
  US 20160331286A1
• Time in Patent Office: 1,189 Days
• Field of Search: 600309, 600345-366
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/14507 specially adapted for measuring characteristics of body fluids other than blood devices for taking samples of body liquids A61B10/0045
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G08B 21/0211 Combination with medical sensor, e.g. for measuring heart rate, temperature
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04W 88/02 Terminal devices
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a system includes a plurality of continuous glucose monitor (CGM) devices; a plurality of display devices to receive data from the CGM devices classified into a plurality of classifications based on data type; a cloud server architecture to receive the data from the display devices on an intermittent basis, in which the data routed to a particular server of the plurality of servers is determined by the data type, and in which the intermittent basis varies depending upon data type; a plurality of remote monitor display devices; and an analysis and report engine.

Claims

1. A system for securely collecting, analyzing and reporting data related to glucose monitoring levels by a plurality of continuous glucose monitors, the system comprising:

a plurality of continuous glucose monitor (CGM) devices;

a plurality of display devices to receive data from the plurality of CGM devices, wherein the data is classified by the CGM devices into a plurality of classifications based on data type;

a cloud server architecture comprising a plurality of servers to receive the data from the plurality of display devices on an intermittent basis, wherein the data routed to a particular server of the plurality of servers is determined by the data type, and wherein the intermittent basis varies depending upon data type;

a plurality of remote monitor display devices to receive data from at least one of the plurality of servers, wherein the data sent to each of the plurality of remote monitor display devices depends upon the data type and upon the display device that transmitted the data to the at least one of the plurality of servers and said data is sent to the plurality of remote monitor display devices immediately upon receipt by the at least one of the plurality of servers; and

an analysis and report engine, wherein at least a portion of the data received by the plurality of servers is transmitted to the analysis and report engine, and wherein said transmitted data are configured to be analyzed and reports are configured to be generated by the analysis and report engine.

2. The system of claim 1, wherein the data types comprise real-time data and bulk data.

3. The system of claim 2, wherein the plurality of servers of the cloud server architecture comprise at least a real-time server and a bulk data collector.

4. The system of claim 3, wherein the real-time data is routed to the real-time server from the plurality of display devices and the bulk data is routed to the bulk data collector from the plurality of display devices.

5. The system of claim 4, wherein the real-time data is routed to the real-time server from the plurality of display devices at an intermittent basis that is more frequent that the intermittent basis that the bulk data is routed to the bulk data collector from the plurality of display devices.

6. The system of claim 5, wherein the real-time data is routed to the real-time server from the plurality of display devices once every five minutes and the bulk data is routed to the bulk data collector from the plurality of display devices once every hour.

7. The system of claim 1, further comprising a locator service, wherein the plurality of display devices connect to the cloud server architecture through the locator service.

8. The system of claim 1, wherein at least one of the plurality of display devices comprises a smartphone, tablet, desktop computer, laptop computer, or wearable display device.

9. The system of claim 1, wherein at least one of the plurality of remote monitor display devices comprises a smartphone, tablet, desktop computer, laptop computer, or wearable display device.

10. The system of claim 1, wherein the plurality of display devices comprises at least 150,000 devices.

11. The system of claim 1, wherein at least one of the plurality of remote monitor display devices further comprises an application that can be executed by the at least one of the plurality of remote monitor display devices.

12. The system of claim 11, wherein the application on the at least one of the plurality of remote monitor display devices must be open and running in order to receive the data that is ready to be sent to the at least one of the plurality ofremote monitor display devices, else the data that is ready to be sent to the at least one of the plurality of remote monitor display devices is held by one of the plurality of servers.

13. The system of claim 11, wherein at least one of the plurality of remote monitor display devices that receive data from one of the plurality of servers receives a notification that data is ready to be sent to the at least one of the plurality of remote monitor display devices.

14. The system of claim 13, wherein the notification comprises a text message.

15. The system of claim 11, wherein the application that can be executed by the at least one of the plurality of remote display devices wakes when the one of the plurality of servers attempts to send the data to the at least one of the plurality of remote display devices.

16. The system of claim 15, wherein the application requests the data to be sent from the one of the plurality of servers after the application wakes.

17. A method for securely collecting, analyzing and reporting data related to glucose monitoring levels by a plurality of continuous glucose monitors, the method comprising:

receiving, by a plurality of display devices, data from a plurality of continuous glucose monitor (CGM) devices;

classifying, by the CGM devices, the data into a plurality of classifications based on data type;

transmitting the data from the plurality of display devices to a cloud server architecture comprising a plurality of servers that receives the data from the plurality of display devices on an intermittent basis, wherein the data routed to a particular server of the plurality of servers is determined by the data type and wherein the intermittent basis varies depending upon data type;

receiving, by a plurality of remote monitor display devices, data from at least one of the plurality of servers, wherein the data sent to each of the plurality of remote monitor display devices depends upon the data type and upon the display device that transmitted the data to the at least one of the plurality of servers and said data is sent to the plurality of remote monitor display devices immediately upon receipt by the at least one of the plurality of servers; and

receiving, by an analysis and report engine, at least a portion of the data received by the plurality of servers, the analysis and report engine configured to analyze said received data and generate reports.

18. The method of claim 17, wherein classifying the data into a plurality of classifications based on data type comprises classifying the data as real-time data and bulk data.

19. The method of claim 18, wherein the plurality of servers of the cloud server architecture comprise at least a real-time server and a bulk data collector.

20. The method of claim 19, wherein the real-time data is routed to the real-time server from the plurality of display devices and the bulk data is routed to the bulk data collector from the plurality of display devices.

21. The method of claim 20, wherein the real-time data is routed to the real-time server from the plurality of display devices at an intermittent basis that is more frequent that the intermittent basis that the bulk data is routed to the bulk data collector from the plurality of display devices.

22. The method of claim 21, wherein the real-time data is routed to the real-time server from the plurality of display devices once every five minutes and the bulk data is routed to the bulk data collector from the plurality of display devices once every hour.

23. The method of claim 17, further comprising a locator service, wherein the plurality of display devices connect to the cloud server architecture through the locator service.

24. The method of claim 17, wherein at least one of the plurality of display devices comprises a smartphone, tablet, desktop computer, laptop computer, or wearable display device.

25. The method of claim 17, wherein at least one of the plurality of remote monitor display devices comprises a smartphone, tablet, desktop computer, laptop computer, or wearable display device.

26. The method of claim 17, wherein the plurality of display devices comprises at least 150,000 devices.

27. The method of claim 17, wherein at least one of the plurality of remote monitor display devices further comprises an application that can be executed by the at least one of the plurality of remote monitor display devices.

28. The method of claim 27, wherein the application on the at least one of the plurality of remote monitor display devices must be open and running in order to receive the data that is ready to be sent to the at least one of the plurality of remote monitor display devices, else the data that is ready to be sent to the at least one of the plurality of remote monitor display devices is held by one of the plurality of servers.

29. The method of claim 27, wherein at least one of the plurality of remote monitor display devices that receive data from one of the plurality of servers receives a notification that data is ready to be sent to the at least one of the plurality of remote monitor display devices.

30. The method of claim 29, wherein the notification comprises a text message.

31. The method of claim 27, wherein the application that can be executed by the at least one of the plurality of remote display devices wakes when the one of the plurality of servers attempts to send the data to the at least one of the plurality of remote display devices.

32. The method of claim 31, wherein the application requests the data to be sent from the one of the plurality of servers after the application wakes.