Multi-Function Analyte Test Device and Methods Therefor

• US 20140275910A1
• Filed: 05/30/2014
• Published: 09/18/2014
• Est. Priority Date: 02/18/2007
• Status: Abandoned Application

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories)
• Inventors: Kiaie, Namvar, Cole, Jean-Pierre, Sloan, Mark Kent, Arbogast, Frederic
• Application Number:
  US14/292,557
• Publication Number:
  US 20140275910A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/63 for local operation

Abstract

Methods, device and systems including receiving a request for a therapy profile for treating a medical condition, determining using a processor a plurality of therapy profile parameters, assigning a weighted value to each therapy profile parameter based on a hierarchy determined by the medical condition, querying a database to identify a stored therapy profile with therapy profile parameters that most closely correspond to the determined plurality of therapy profile parameters based on the hierarchy, generating an output data corresponding to the identified stored therapy profile, the output data a medication dosage information are provided. Also provided are systems and kits.

Claims

1. A method, comprising:

assigning, using one or more computing processors, a weighted value to a plurality of therapy profile parameters including ranking each of the plurality of therapy profile parameters in a predetermined order and assigning a respective weighted value based on the ranking; and

querying, using the one or more processors, a database to identify a stored therapy profile with one or more therapy profile parameters that corresponds to one or more of the plurality of therapy profile parameters based on a hierarchy.

2. The method of claim 1, further including generating, using the one or more processors, an output data corresponding to the identified stored therapy profile, wherein the output data includes a medication dosage information including a medication delivery amount or a medication delivery duration or both the medication delivery amount and the medication delivery duration.

3. The method of claim 1, wherein querying the database includes matching the one or more of the plurality of therapy profile parameters with a respective one or more therapy profile parameters stored in the database.

4. The method of claim 2, wherein the output data includes a medication dose recommendation information.

5. The method of claim 4, wherein the medication dose recommendation information includes a medication dose amount information, a medication dose administration time duration information, a medication dose administration time information, or one or more combinations thereof.

6. The method of claim 1, wherein the hierarchy determined by a medical condition for assigning the weighted value to the one or more therapy profile parameters includes a user defined hierarchy.

7. The method of claim 1, wherein the hierarchy determined by a medical condition for assigning the weighted value to the one or more therapy profile parameters includes the predetermined order of importance of each therapy profile parameter.

8. The method of claim 1, wherein querying the database includes performing a statistical analysis based on a medication dosage information stored in the database.

9. The method of claim 8, wherein the statistical analysis includes one or more of mean deviation analysis, standard deviation analysis, estimation analysis, forecasting analysis, correlation of one or more parameters, modeling of one or more relationships among the one or more parameters, regression analysis, time series analysis, autoregressive modeling, integrated modeling, moving average modeling, data mining, or probability analysis.

10. The method of claim 1, further including determining the hierarchy of the plurality of therapy profile parameters.

11. The method of claim 10, wherein determining the hierarchy of the plurality of therapy profile parameters is based on at least one of a level of relevance, a temporal occurrence, a user identified ranking of importance, a healthcare provider identified ranking of importance, a similarity, a dissimilarity, an occurrence prior to another event, an occurrence after another event, and an occurrence in conjunction with a predetermined physiological condition.

12. A glucose monitoring apparatus, comprising:

one or more computing processing units; and

a memory coupled to the one or more processing units for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to assign a weighted value to a plurality of therapy profile parameters including ranking each of the plurality of therapy profile parameters in a predetermined order and assigning a respective weighted value based on the ranking, query the memory to identify a stored therapy profile with one or more therapy profile parameters that corresponds to one or more of the plurality of therapy profile parameters based on a hierarchy.

13. The apparatus of claim 12, wherein the memory coupled to the one or more processing units for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to generate an output data corresponding to the identified stored therapy profile, wherein an outputted medication dosage information includes a medication delivery amount or a medication delivery duration or both the medication delivery amount and the medication delivery duration.

14. The apparatus of claim 12, wherein a medication dose recommendation information includes a medication dose amount information, a medication dose administration time duration information, a medication dose administration time information, or one or more combinations thereof.

15. The apparatus of claim 12, wherein the hierarchy determined by a medical condition for assigning the weighted value to each therapy profile parameter includes a user defined hierarchy.

16. The apparatus of claim 12, wherein the hierarchy determined by a medical condition for assigning the weighted value to each therapy profile parameter includes the predetermined order of importance of each therapy profile parameter.

17. The apparatus of claim 12, wherein the memory coupled to the one or more processing units for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to perform a statistical analysis based on the medication dosage information stored in the memory.

18. The apparatus of claim 17, wherein the statistical analysis includes one or more of mean deviation analysis, standard deviation analysis, estimation analysis, forecasting analysis, correlation of one or more parameters, modeling of one or more relationships among the one or more parameters, regression analysis, time series analysis, autoregressive modeling, integrated modeling, moving average modeling, data mining, or probability analysis.

19. The apparatus of claim 12, wherein the memory coupled to the one or more processing units for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to determine the hierarchy of the plurality of therapy profile parameters.

20. The apparatus of claim 19, wherein determining the hierarchy of the plurality of therapy profile parameters is based on at least one of a level of relevance, a temporal occurrence, a user identified ranking of importance, a healthcare provider identified ranking of importance, a similarity, a dissimilarity, an occurrence prior to another event, an occurrence after another event, and an occurrence in conjunction with a predetermined physiological condition.