GLYCEMIC URGENCY ASSESSMENT AND ALERTS INTERFACE

• US 20150289821A1
• Filed: 03/16/2015
• Published: 10/15/2015
• Est. Priority Date: 04/10/2014
• Status: Active Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Rack-Gomer, Anna Leigh, Hampapuram, Hari, Kamath, Apurv Ullas, Reihman, Eli, Bowman, Leif N., Garcia, Arturo, Grubstein, Katherine Yerre, Bhavaraju, Naresh C., Draeger, Rian, Kramer, Paul, Noble-Campbell, Paul
• Application Number:
  US14/659,263
• Publication Number:
  US 20150289821A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 2560/0295 adapted for recording user messages or annotations
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/4306 for evaluating the female reproductive systems, e.g. gynaecological evaluations
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• 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 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 : User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61M 2005/1726 : the body parameters being measured at, or proximate to, the infusion site
• CPC Class Codes: A61M 5/1723 : using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: A61M 5/5086 : for indicating if defective, used, tampered with or unsterile
• CPC Class Codes: G06F 3/04817 : using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/04847 : Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 : relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/63 : for local operation

Abstract

Systems and methods are disclosed that employ several or numerous factors in the determination of a glycemic urgency index (GUI), which may be based on a measured blood glucose level as well as other factors. The other factors may include time derivatives of the glucose level and/or other factors, e.g., user—entered data, data measured by other sensors or received from a network source, or historical data. The GUI is then presented to the user in an interesting way, e.g., via a background color or other inconspicuous notifier, e.g., on a mobile device such as a smart phone. The GUI may also be employed in the triggering of actionable alerts and alarms on an electronic device for the user. The GUI, or another index calculated from combinations of the variables and parameters described, may further be employed to drive a medicament delivery device such as a pump.

Claims

1. A method of assessing a user'"'"'s urgency state associated with a physiological condition, comprising:

a. receiving data of a first type associated with a physiological condition;

b. calculating data of a second type associated with the physiological condition;

c. receiving data of a third type associated with the physiological condition;

d. determining an urgency index based at least on the received data of the first, second, and third types; and

e. providing an indication of the determined urgency index on a mobile device.

2. The method of claim 1, wherein the physiological condition is diabetes, the urgency index is a glycemic urgency index, and the data of the first type is a glucose concentration.

3. The method of claim 2, wherein the glucose concentration is a current measured glucose concentration, a past measured glucose concentration, or a future predicted glucose concentration.

4. The method of claim 1, wherein the data of the second type is derived from the data of the first type.

5. The method of claim 4, wherein the data of the second type derived from the data of the first type is a first derivative or a second derivative with respect to time of the data of the first type.

6. The method of claim 4, wherein the data of the second type derived from the data of the first type includes:

deviations from normal glucose patterns, pattern data of glucose values over a time period, predicted glucose values, a duration over which a glucose value is within a predetermined range, weightings of parameters or variables to be considered in the determining of the urgency index, or local maxima or minima in the data of the first type.

7. The method of claim 1, wherein the receiving data of a third type includes receiving data entered by a user.

8. The method of claim 7, wherein the receiving includes receiving data entered by a user on a user interface of a mobile device.

9. The method of claim 7, wherein the physiological condition is diabetes, the urgency index is a glycemic urgency index, and the data of the first type is a glucose concentration, wherein the received data entered by a user includes a user weight, a user indication of activity level, a user indication of food or drink ingested or to be ingested, anthropometric data, data about prior insulin provided to the user, stress data, health data, data about a placement of the sensor measuring the data of the first type, age, or gender.

10. The method of claim 7, wherein the received data entered by a user includes a user indication of food or drink ingested or to be ingested, or data about prior insulin provided to the user or to be provided to the user, and further comprising determining the glycemic urgency index to be a lower urgency based on the received data.

11. The method of claim 1, wherein the receiving data of a third type includes receiving data from a sensor.

12. The method of claim 11, wherein the physiological condition is diabetes, the urgency index is a glycemic urgency index and the data of the first type is a glucose concentration, and wherein the sensor includes at least one of the following:

a scale, a glucometer, a thermometer, an accelerometer, a camera, a GPS device, or a microphone.

13. The method of claim 12, wherein the received data of a third type includes a user weight, a user indication of activity level, an indication of food or drink ingested or to be ingested, anthropometric data, data about prior insulin provided to the user, physiological data, stress data, or health data.

14. The method of claim 1, wherein the receiving data of a third type includes receiving data from a query processing engine, an electronic device configured for machine to machine communication, or an electronic user record.

15. The method of claim 1, wherein the data of the third type is received from the mobile device, and corresponds to a level of user interaction with an application through which the indication was provided.

16. The method of claim 1, further comprising providing an alert or alarm if the urgency index reaches a predetermined alerting or alarming threshold, respectively.

17. The method of claim 16, wherein the urgency index is a glycemic index and the predetermined alerting or alarming threshold indicates that the user is in a hypoglycemic or hyperglycemic state.

18. The method of claim 1, wherein the physiological condition comprises one or more of obesity, malnutrition, hyperactivity, depression, or fertility.

19. The method of claim 1, further comprising providing an advanced output based on the received inputs.

20. An electronic device for monitoring data associated with a physiological condition, comprising:

a. a continuous analyte sensor, wherein the continuous analyte sensor is configured to substantially continuously measure a concentration of analyte in the host, and to provide continuous sensor data associated with the analyte concentration in the host; and

b. a processor module configured to receive data of a first type associated with a physiological condition;

calculate data of a second type associated with the physiological condition;

receive data of a third type associated with the physiological condition;

determine an urgency index based at least on the received data of the first, second, and third types; and

provide an indication of the determined urgency index on a mobile device.

21. The device of claim 20, wherein the analyte is glucose.