Method and apparatus for providing data processing and control in a medical communication system

• US 20080312842A1
• Filed: 05/14/2008
• Published: 12/18/2008
• Est. Priority Date: 05/14/2007
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Hayter, Gary, Feldman, Benjamin J., McGarraugh, Geoffrey V., Mazza, John C., Naegeli, Andrew H.
• Granted Patent: US 8,239,166 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: G01N 33/49 Blood chemical methods for determining blood cell populations G01N33/5094; chemical analysis of blood groups or blood types G01N33/80
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Methods and apparatus for providing data processing and control for use in a medical communication system are provided.

Claims

1. A method, comprising:

sampling a predetermined number of in vivo analyte sensors;

determining a sensitivity value for each of the sampled predetermined number of analyte sensors; and

determining a mean sensitivity based on the sensitivity value of the predetermined number of analyte sensors.

2. The method of claim 1 wherein the predetermined number of analyte sensors is approximately 100 or less.

3. The method of claim 1 wherein the sensitivity value is determined in vitro.

4. The method of claim 3 wherein the in vitro determination of the sensitivity value includes measuring the sensitivity value for each analyte sensor.

5. The method of claim 4 wherein measuring the sensitivity value for each analyte sensor is performed during sensor manufacturing.

6. The method of claim 1 including determining a sensor code associated with a predetermined sensitivity range.

7. The method of claim 6 wherein the mean sensitivity is within the predetermined sensitivity range.

8. The method of claim 6 wherein the sensor code is used to calibrate the analyte sensors.

9. The method of claim 6 wherein the sensor code is stored in an analyte monitoring device.

10. The method of claim 1 including determining a deviation of the sensitivity value to a predetermined level.

11. The method of claim 10 wherein when the determined deviation exceeds a tolerance threshold level, rejecting the predetermined number of analyte sensors during manufacturing.

12. A method, comprising:

receiving a sensor code;

retrieving a sensitivity associated with the sensor code corresponding to an analyte sensor; and

performing data processing based at least in part on the sensor code.

13. The method of claim 12 wherein the sensor code is associated with a predetermined sensitivity range.

14. The method of claim 13 wherein the sensitivity is within the predetermined sensitivity range.

15. The method of claim 12 including storing the sensor code.

16. The method of claim 12 wherein performing data processing includes one or more of a glucose rate verification routine, a data integrity verification routine, or a predetermined sensitivity range validity verification.

17. An apparatus, comprising:

a data processing unit configured to receive an analyte sensor code, retrieve a sensitivity associated with the sensor code corresponding to an analyte sensor, and perform data processing based at least in part on the sensor code.

18. The apparatus of claim 17 wherein the sensor code is associated with a predetermined sensitivity range.

19. The apparatus of claim 18 wherein the sensitivity is within the predetermined sensitivity range.

20. The apparatus of claim 17 wherein the data processing unit is configured to perform one or more of a glucose rate verification routine, a data integrity verification routine, or a predetermined sensitivity range validity verification.

21. The apparatus of claim 17 including a data storage unit for storing one or more of the sensor code or the sensitivity.

22. The apparatus of claim 17 wherein the data processing unit is configured to determine a coefficient of variation based on a sampled predetermined number of analyte sensors.

23. The apparatus of claim 22 wherein the sampled predetermined number of analyte sensors includes a subset of each sensor lot during manufacturing.