Distributed system architecture for continuous glucose monitoring

• US 10,085,640 B2
• Filed: 05/11/2016
• Issued: 10/02/2018
• 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): Algibhah, Hamza N
• Assistant Examiner(s): Wang, Hannah S
• Application Number:
  US15/152,363
• Publication Number:
  US 20160331233A1
• Time in Patent Office: 874 Days
• Field of Search: 709224
• 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 method includes preparing data including glucose levels using a continuous glucose sensor unit; wirelessly transmitting the data relating to the glucose levels to a display device from the continuous glucose sensor unit; automatically forwarding the data relating to the glucose levels from the display device to a cloud computing architecture; and storing the data relating to the glucose levels in separate groups at the cloud computing architecture.

Claims

1. A method for securely transmitting data, comprising:

preparing data including glucose levels using a continuous glucose sensor unit;

wirelessly transmitting the data relating to the glucose levels to at least one display device from a transmitter associated with the continuous glucose sensor unit;

automatically forwarding the data relating to the glucose levels from the at least one display device to a cloud computing architecture; and

storing the data relating to the glucose levels in separate groups at the cloud computing architecture, wherein the data relating to the glucose levels comprises a first set of data and a second set of data, wherein the first set of data comprises real-time data, the real-time data comprising one or more of glucose values, a current status of the continuous glucose sensor unit, or timestamps associated with measurements used to obtain the glucose values; and

the second set of data comprises at least one of information for calibrating the continuous glucose sensor unit and information used for technical support of the continuous glucose sensor unit;

encrypting the first set of data by the transmitter;

encrypting the second set of data by the transmitter;

decrypting and displaying the first set of data by the at least one display device;

preventing the at least one display device from decrypting the second set of data;

decrypting the second set of data by the cloud computing architecture;

storing a first key to decrypt the first set of data by the at least one display device;

storing a second key to decrypt the second set of data by the cloud computing architecture;

preventing the second key from being accessed by the at least one display device; and

selectively determining, by the cloud computing architecture, whether to grant access to the first set of data and the second set of data by one or more requesting systems, wherein the requesting systems comprise a technical support system, at least one third-party application, and a data warehouse, wherein the cloud computing architecture;

grants the technical support system access to the first set of data and the second set of data;

grants the at least one third-party application access to the first set of data; and

grants the data warehouse access to the first set of data and the second set of data.

2. The method of claim 1, wherein the data relating to the glucose levels comprises measured glucose values and system diagnostic data.

3. The method of claim 1, further comprising:

providing, by the at least one display device, additional data with the data relating to the glucose levels,

wherein the automatically forwarding the data comprises automatically forwarding the additional data and the data relating to the glucose levels.

4. The method of claim 1,

further comprising storing the data relating to the glucose levels in separate groups comprises storing the first set of data on a first server and the second set of data on a second server.

5. The method of claim 1, further comprising:

forwarding a subset of the data relating to the glucose levels from the cloud computing architecture to a second display device, the subset of data comprising at least one of current and past glucose levels.

6. The method of claim 1, wherein the display device comprises at least one of a smartphone, tablet, desktop computer, laptop computer, wearable display device.

7. The method of claim 1, wherein the cloud computing architecture includes a plurality of servers configured to receive the data from the at least one display device, wherein the data routed to a particular server of the plurality of servers is determined by a data type including real-time data and bulk data, wherein bulk data is different than real time data and is data that is transmitted less frequently than real-time data, and is selected from the group consisting of:

data about system software version information, system diagnostic information, other proprietary data, and data about stored readings recorded over a time period.

8. The method of claim 1, further comprising receiving data at a plurality of remote monitor display devices from the real-time server, wherein the data sent to a respective remote monitor display device of the plurality of remote monitor display devices is associated with a corresponding continuous glucose sensor device to which the remote monitor display device is assigned to monitor.

9. A system for monitoring data relating to analyte levels, comprising:

a continuous glucose sensor unit configured to prepare data relating to glucose levels, the continuous glucose sensor unit including a wireless transmitter configured to transmit the data relating to the glucose levels;

at least one display device configured to receive the transmitted data relating to the glucose levels and automatically forward the data; and

a cloud computing architecture configured to receive the automatically forwarded data and store the data relating to the glucose levels in separate groups, wherein the data relating to the glucose levels comprises a first set of data and a second set of data, and further wherein the first set of data comprises real-time data, the real-time data comprising one or more of glucose values, a current status of the continuous glucose sensor unit, or timestamps associated with measurements used to obtain the glucose values; and

the second set of data comprises at least one of information for calibrating the continuous glucose sensor unit and information used for technical support of the continuous glucose sensor unit,

wherein the wireless transmitter is further configured to encrypt the first set of data and the second set of data, the at least one display device is further configured to decrypt and display the first set of data;

the at least one display device cannot decrypt the second set of data;

the cloud computing architecture is further configured to decrypt the second set of data;

the at least one display device is further configured to store a first key to decrypt the first set of data;

the cloud computing architecture is further configured to store a second key to decrypt the second set of data; and

the at least one display device cannot access the second key; and

wherein the cloud computing architecture is further configured to selectively determine whether to grant access to the first set of data and the second set of data by one or more requesting systems, wherein the requesting systems comprise a technical support system, at least one third-party application, and a data warehouse, wherein the cloud computing architecture is further configured to;

grant the technical support system access to the first set of data and the second set of data;

grant the at least one third-party application access to the first set of data; and

grant the data warehouse access to the first set of data and the second set of data.

10. The system of claim 9, wherein the data relating to the glucose levels comprises measured glucose values and system diagnostic data.

11. The system of claim 9, wherein the at least one display device is further configured to:

provide additional data with the data relating to the glucose levels; and

automatically forward the additional data and the data relating to the glucose levels.

12. The system of claim 9,

wherein the cloud computing architecture is configured to separately store the first set of data on a first server and storing the second set of data on a second server.

13. The system of claim 9, wherein the cloud computing architecture is further configured to forward a subset of the data relating to the glucose levels to a second display device, the subset of data comprising at least one of current and past glucose levels.

14. The system of claim 9, wherein the at least one display device comprises at least one of a smartphone, tablet, desktop computer, laptop computer, wearable display device.

15. The system of claim 9, wherein the cloud computing architecture includes a plurality of servers configured to receive the data from the at least one display device, wherein the data routed to a particular server of the plurality of servers is determined by a data type including real-time data and bulk data, wherein bulk data is different than real time data and is data that is transmitted less frequently than real-time data, and is selected from the group consisting of:

data about system software version information, system diagnostic information, other proprietary data, and data about stored readings recorded over a time period.

16. The system of claim 15, wherein the plurality of servers are configured to receive the data from the at least one display device on an intermittent basis that varies depending upon the data type.

17. The system of claim 15, wherein the plurality of servers of the cloud server architecture comprise at least a real-time server and a bulk data collector, the real-time server configured to receive the real-time data, and the bulk data collector configured to receive the bulk data.

18. The system of claim 17, further comprising:

a plurality of remote monitor display devices that receive data from the real-time server, wherein the data sent to a respective remote monitor display device of the plurality of remote monitor display devices is associated with a corresponding continuous glucose sensor device to which the remote monitor display device is assigned to monitor.