Medical diagnostic devices and methods

• US 10,383,556 B2
• Filed: 06/08/2009
• Issued: 08/20/2019
• Est. Priority Date: 06/06/2008
• Status: Active Grant

• Current Assignee: Intuity Medical, Inc.
• Original Assignee: Intuity Medical, Inc.
• Inventors: Lipman, Kelley J., Tomasco, Michael F., Brncic, Daniel N., Hohl, David K., Reynolds, Paul D., Escutia, Raul
• Primary Examiner(s): Riggs, II, Larry D
• Application Number:
  US12/457,332
• Publication Number:
  US 20100021948A1
• Time in Patent Office: 3,725 Days
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: C12Q 1/54 involving glucose or galactose

Abstract

A medical diagnostic device includes a wirelessly transmitted time data receiver and processor. Associated devices, methods and functionality are also described.

Claims

1. A method of operating a blood glucose meter, the method comprising:

generating a plurality of glucose concentration measurement values from a plurality of tests performed with the blood glucose meter;

correlating, using the blood glucose meter, the plurality of glucose concentration measurement values with particular points in time or intervals of time during the day, wherein the correlated plurality of glucose concentration measurements establishes a range of glucose measurement values associated with the particular point in time or time interval;

comparing a subsequent measured blood glucose concentration value derived from a subsequent test performed during the particular point in time or time interval to the range of glucose measurement values associated with the particular point in time or time interval; and

alerting a user to perform another test when the subsequent measured blood glucose concentration value falls outside of the determined range of glucose measurement values.

2. A method of monitoring and treating diabetes with the assistance of a blood glucose meter, the method comprising:

generating a glucose concentration measurement value from at least one test performed with the blood glucose meter;

correlating the glucose concentration measurement value with the particular point in time during the day when the test was performed;

predicting whether the glucose concentration measurement value is associated with either a pre-prandial test or post-prandial test based at least in part on the correlated time associated with the value, wherein the blood glucose meter provides the prediction; and

prompting the user to confirm the prediction made by the blood glucose meter.

3. The method of claim 2, wherein the blood glucose meter comprises predefined time intervals associated with either a pre-prandial test or post-prandial test.

4. The method of claim 2, further comprising programming the blood glucose meter to define the pre-prandial test and post-prandial test time intervals.

5. A method of monitoring and treating diabetes with the assistance of a blood glucose meter, the method comprising:

automatically setting a clock of the blood glucose meter by scanning for a plurality of frequencies and receiving and processing time data transmitted wirelessly using one of the plurality of frequencies with the blood glucose meter;

performing a plurality of tests with the blood glucose meter to derive a plurality of glucose concentration measurement values;

correlating the plurality of glucose concentration measurement values with the particular points in time during the day when they were taken to establish a data set;

downloading the data set from the blood glucose meter;

deriving trends based on the downloaded glucose concentration values and associated time data; and

prescribing treatment based at least in part on the trends.