ADAPTIVE INTERFACE FOR CONTINUOUS MONITORING DEVICES

• US 20150118658A1
• Filed: 10/28/2014
• Published: 04/30/2015
• Est. Priority Date: 10/31/2013
• Status: Abandoned Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mayou, Phil, Bhavaraju, Naresh C., Bowman, Leif N., Carlton, Alexandra Lynn, Dunn, Laura J., Grubstein, Katherine Yerre, Mahalingam, Aarthi, Reihman, Eli, Simpson, Peter C.
• Application Number:
  US14/526,287
• Publication Number:
  US 20150118658A1
• Time in Patent Office: Days
• US Class Current: 434/127
• 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 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• 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 5/742 using visual displays A61B5/339 takes precedence
• 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: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.

Claims

1. An electronic device associated with monitoring a glucose concentration in a host, the device comprising:

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

a processor module configured to;

identify a need related to training or requested guidance based on behavioral/contextual information for the host; and

provide training or guidance in response to the identified need, wherein the training or guidance is based on physiological information in conjunction with the behavioral/contextual information for the host.

2. The device of claim 1, wherein the processor module is configured to identify a need related to training or requested guidance based on a determined goal, wherein the goal is determined based on the behavior or context information of the host.

3. The device of claim 1, wherein the processor module is configured to determine the behavioral or contextual information by:

capturing values from pre-identified inputs, the values indicating a behavior or context associated with a physiological condition for the host;

periodically storing additional values received from the pre-identified inputs, wherein a record of host-specific pre-identified input values is created; and

periodically determining behavioral or contextual information about the host based on the record of host-specific pre-identified input values captured over time.

4. A method of adaptive guidance associated with monitoring a glucose concentration in a host, the method comprising:

identifying a need related to training or requested guidance based on behavioral/contextual information for the host; and

providing training or guidance in response to the identified need, wherein the training or guidance is based on physiological information in conjunction with the behavioral/contextual information for the host.

5. The method of claim 4, wherein the behavioral or contextual information comprises a structured query or a natural language query.

6. The method of claim 4, further comprising receiving feedback associated with the training or guidance and re-processing the training or guidance in further consideration of the received feedback.

7. The method of claim 4, wherein identifying a need related to training or requested guidance is based on a determined goal, wherein the goal is determined based on the behavior or context information of the host.

8. The method of claim 4, further comprising determining the behavioral or contextual information, the determining comprising:

capturing values from pre-identified inputs, the values indicating a behavior or context associated with a physiological condition for the host;

periodically storing additional values received from the pre-identified inputs, wherein a record of host-specific pre-identified input values is created; and

periodically determining behavioral or contextual information about the host based on the record of host-specific pre-identified input values captured over time.

9. The method of claim 8, further comprising transmitting the determined behavioral or contextual information about the host.

10. The method of claim 8, wherein the pre-identified inputs include at least one of a glucometer, a thermometer, an accelerometer, a camera, a microphone, a query processing engine, an electronic device configured for machine-to-machine communication, or an electronic patient record.

11. The method of claim 8, wherein determining behavioral or contextual information about the host comprises:

selecting one of a plurality of pre-identified input values included in the record; and

identifying one or more behaviors or contexts based on a comparison of the selected input value and the input providing the selected value with an identification value associated with a plurality of behaviors or contexts.

12. The method of claim 8, wherein determining behavioral or contextual information about the host comprises processing the pre-defined input values included in the record.

13. The method of claim 12, wherein processing the pre-defined input values comprises identifying a trend for the values.

14. A system for adaptive guidance associated with monitoring a glucose concentration in a host, the system comprising:

an input receiver configured to receive at least one of context information, behavior information, or physiological information for a host over a period of time;

an input processor configured to identify a context or behavior based at least in part on the information received over time; and

an adaptation engine configured to provide adaptive guidance for the analyte monitoring device based on the identified context or behavior by;

identifying a need related to training or requested guidance based on behavioral/contextual information for the host; and

providing training or guidance in response to the identified need, wherein the training or guidance is based on physiological information in conjunction with the behavioral/contextual information for the host.

15. The system of claim 14, wherein identifying a need related to training or requested guidance comprises identifying a need related to training or requested guidance based on a determined goal, wherein the goal is determined based on the behavior or context information of the host.

16. The system of claim 14, wherein the input processor is further configured to identify a context or behavior based at least in part on the information received over time by:

capturing values from pre-identified inputs, the values indicating a behavior or context associated with a physiological condition for the host;

periodically storing additional values received from the pre-identified inputs, wherein a record of host-specific pre-identified input values is created; and

periodically determining behavioral or contextual information about the host based on the record of host-specific pre-identified input values captured over time.