Method and System for Providing Data Management in Integrated Analyte Monitoring and Infusion System

• US 20150087946A1
• Filed: 12/03/2014
• Published: 03/26/2015
• Est. Priority Date: 08/07/2006
• Status: Abandoned Application

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Jennewine, R. Curtis
• Application Number:
  US14/559,894
• Publication Number:
  US 20150087946A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Methods and systems for providing therapy related data management are provided. The subject systems include one or more device components, and at least one memory storage unit and at least one data storage unit associated with such one or more device components. The device components may include one or more of an analyte monitoring system, a fluid delivery device and a remote terminal. The subject methods include use of the subject systems to optimize treatment of a patient.

Claims

1. (canceled)

2. A method for processing continuous glucose sensor data and displaying a graphical representation of the processed sensor data, the method comprising:

processing continuous glucose sensor data generated using a continuous glucose sensor, the sensor data indicative of a host'"'"'s glucose concentration;

displaying a graphical representation of the processed sensor data on a display device, the displaying including graphing or charting glucose data summaries based on mealtimes of the host.

3. The method of claim 2, wherein the processed sensor data includes averaged glucose values over a time period.

4. The method of claim 3, wherein the time period is one of 1 day, 5 days, 7 days or 1 month.

5. The method of claim 2, wherein the glucose data summaries are modal day graphs.

6. The method of claim 2, wherein the glucose data summaries include bar charts.

7. The method of claim 2, wherein the glucose data summaries include glucose trend data.

8. A system for processing continuous glucose sensor data and displaying a graphical representation of the processed sensor data, the system comprising:

one or more processors;

computer memory; and

computer-readable instructions stored in the computer memory, wherein the instructions are configured to cause the one or more processors to process sensor data generated using a continuous glucose sensor and display a graphical representation of the processed sensor data on a display device when executed by the one or more processors, wherein the sensor data is indicative of a host'"'"'s glucose concentration, and wherein the displaying includes graphing or charting data summaries based on mealtimes of the host.

9. The system of claim 8, wherein the processed sensor data includes averaged glucose values over a time period.

10. The system of claim 9, wherein the time period is one of 1 day, 5 days, 7 days or 1 month.

11. The system of claim 8, wherein the glucose data summaries are modal day graphs.

12. The system of claim 8, wherein the glucose data summaries include bar charts.

13. The system of claim 8, wherein the glucose data summaries include glucose trend data.

14. A method for processing continuous glucose sensor data and displaying a graphical representation of the processed sensor data, the method comprising:

processing continuous glucose sensor data generated using a continuous glucose sensor, the sensor data indicative of a host'"'"'s glucose concentration; and

displaying a graphical representation of the processed sensor data on a display device, the displaying including graphing or charting data summaries based days of the week.

15. The method of claim 14, wherein the processed sensor data includes averaged glucose values over a time period.

16. The method of claim 15, wherein the time period is one of 1 day, 5 days, 7 days or 1 month.

17. The method of claim 14, wherein the glucose data summaries are modal day graphs.

18. The method of claim 14, wherein the glucose data summaries include bar charts.

19. The method of claim 14, wherein the glucose data summaries include glucose trend data.

20. A system for processing continuous glucose sensor data and displaying a graphical representation of the processed sensor data, the system comprising:

one or more processors;

computer memory; and

computer-readable instructions stored in the computer memory, the instructions configured to cause the one or more processors to process sensor data generated using a continuous glucose sensor and display a graphical representation of the processed sensor data on a display device when executed by the one or more processors, wherein the sensor data is indicative of a host'"'"'s glucose concentration, and wherein the displaying includes graphing or charting data summaries based on the days of the week.

21. The system of claim 20, wherein the processed sensor data includes averaged glucose values over a time period.

22. The system of claim 21, wherein the time period is one of 1 day, 5 days, 7 days or 1 month.

23. The system of claim 20, wherein the glucose data summaries are modal day graphs.

24. The system of claim 20, wherein the glucose data summaries include bar charts.

25. The system of claim 20, wherein the glucose data summaries include glucose trend data.