Compatibility mechanisms for devices in a continuous analyte monitoring system and methods thereof

• US 9,317,656 B2
• Filed: 11/21/2012
• Issued: 04/19/2016
• Est. Priority Date: 11/23/2011
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Hayter, Gary Alan, Naegeli, Andrew H.
• Primary Examiner(s): Golabbakhsh, Ebrahim
• Application Number:
  US13/684,085
• Publication Number:
  US 20130132416A1
• Time in Patent Office: 1,245 Days
• US Class Current: 1/1
• CPC Class Codes: G06K 7/10009 sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Methods, devices, and kits are provided for determining a compatibility of one or more devices in an analyte monitoring system.

Claims

1. A computer-implemented method for determining a compatibility of one or more devices in an analyte monitoring system, comprising:

receiving identification code data related to a configuration of a first device;

retrieving, using one or more processors, (a) information including a predetermined list of one or more acceptable identification codes related to one or more first device configurations compatible with the analyte monitoring system and (b) one or more software functions associated with the one or more first device configurations;

comparing, using the one or more processors, the received identification code data with the one or more acceptable identification codes from the retrieved predetermined list;

determining, using the one or more processors, whether the configuration of the first device is compatible with the analyte monitoring system by identifying the received identification code data in the predetermined list; and

determining, using the one or more processors, a software function from the one or more software functions to process monitored data obtained by the first device.

2. The computer-implemented method of claim 1, further comprising alerting a user if it is determined that the configuration of the first device is not compatible with the analyte monitoring system.

3. The computer-implemented method of claim 1, further comprising communicating compatibility data of the first device to the first device.

4. The computer-implemented method of claim 1, wherein the identification code data includes at least one key code.

5. The computer-implemented method of claim 1, wherein the identification code data includes at least one of a radio-identification code and a resistive code.

6. The computer-implemented method of claim 1, wherein the identification code data includes information related to a range of acceptable sensitivities of the first device and wherein the identification code data allows a glucose calculation.

7. The computer-implemented method of claim 1, wherein the identification code data includes information related to a version of the first device.

8. The computer-implemented method of claim 1, wherein the first device includes an analyte sensor positioned transcutaneously to monitor analyte levels such that it is in fluid contact under a skin surface of a user.

9. The computer-implemented method of claim 1, wherein the monitored data includes analyte data obtained by the first device.

10. The computer-implemented method of claim 9, further comprising:

if it is determined that the first device is compatible with the analyte monitoring system, processing, using the one or more processors, received analyte data using the determined appropriate software function, wherein the received analyte data is obtained by the first device and relates to an analyte level of a user; and

displaying, on a display unit, the processed analyte data to the user.

11. The computer-implemented method of claim 1, wherein the predetermined list includes a key code of the first device.

12. The computer-implemented method of claim 1, wherein the first device includes at least one of a continuous analyte monitor, an analyte sensor, a receiver device, a repeater device, or an insulin pump.

13. The computer-implemented method of claim 1, wherein the software function corresponds to the received identification code data.

14. A computer-implemented method for determining a compatibility of one or more devices in an analyte monitoring system, comprising:

receiving identification code data related to a configuration of a first device;

retrieving, using one or more processors, (a) information including a predetermined list of one or more identification codes that are related to one or more first device configurations and (b) one or more software functions relating to the one or more first device configurations;

comparing, using the one or more processors, the received identification code data with the one or more identification codes; and

determining, using the one or more processors, an appropriate software function for processing monitored analyte data obtained by the first device that is related to an analyte level of a user by using a stored software function that corresponds to the received identification code data.

15. The computer-implemented method of claim 14, wherein the first device includes at least one of a continuous analyte monitor, an analyte sensor, a receiver device, a repeater device, or an insulin pump.

16. The computer-implemented method of claim 14, wherein the identification code data is received wirelessly, and the predetermined list is retrieved from a first database and the one or more software functions are retrieved from a second database, wherein the first database and the second database are stored at separate locations.

17. The computer-implemented method of claim 14, wherein the first device includes an analyte sensor positioned transcutaneously to monitor analyte levels such that it is in fluid contact under a skin surface of a user.

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

receiving the monitored analyte data obtained by the first device; and

processing, using the one or more processors, the monitored analyte data using the determined appropriate software function for a glucose calculation.