ADAPTIVE INTERFACE FOR CONTINUOUS MONITORING DEVICES

• US 20150119655A1
• Filed: 10/28/2014
• Published: 04/30/2015
• Est. Priority Date: 10/31/2013
• Status: Active Grant

• 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.
• Granted Patent: US 9,953,542 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• 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. A method for adaptive configuration of an analyte monitoring device, the method comprising:

transmitting a first report of physiological information of a host using a first reporting format, wherein the first reporting format comprises a first reporting format characteristic;

determining at least one of behavioral or contextual information comprising at least one behavioral and/or contextual characteristic of the host;

comparing the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria;

adjusting the reporting format based at least in part on said comparing, wherein the reporting format comprises a second reporting format characteristic that is different from the first reporting format characteristic; and

transmitting a second report of physiological information using the second reporting format.

2. The method of claim 1, wherein the first report comprises a trend graph of the physiological information over a period of time.

3. The method of claim 1, further comprising transmitting the determined behavioral or contextual information about the host.

4. The method of claim 1, wherein determining at least one of behavioral or contextual information comprises:

receiving a message from a sensor including data associated with the host;

identifying a characteristic extractor based on the message and the sensor;

generating, via the identified characteristic extractor, the at least one behavioral or contextual characteristic based on the received message; and

associating the generated characteristic with the behavioral or contextual information.

5. The method of claim 1, wherein determining at least one of behavioral or contextual information comprises:

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.

6. The method of claim 4, 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.

7. The method of claim 4, wherein periodically storing additional values comprises storing a timestamp indicating when a specific additional value was stored.

8. The method of claim 4, wherein the physiological condition comprises one or more of diabetes, obesity, malnutrition, hyperactivity, depression, or fertility.

9. The method of claim 4, wherein determining at least one of behavioral or contextual information 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.

10. The method of claim 4, wherein determining at least one of behavioral or contextual information comprises processing the pre-defined input values included in the record.

11. The method of claim 4, wherein processing the values comprises identifying a trend for the values.

12. The method of claim 1, wherein comparing the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria comprises comparing the at least one behavioral and/or contextual characteristic with a behavioral or contextual criteria associated with a goal.

13. The method of claim 12, wherein the goal is selected from the group consisting of interaction with the device, amount of time in target, amount of time outside of target, device location, data retention, calibrating frequency, standard deviation, pattern management, time spent on certain screens, time spent hypo, time spent hyper, time spent at high rates of change, or time spent at low rates of change.

14. An electronic device for 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 the glucose concentration in the host, and to provide continuous sensor data associated with the glucose concentration in the host; and

a processor module configured to;

transmit a first report of physiological information of a host using a first reporting format, wherein the first reporting format comprises a first reporting format characteristic;

determine at least one of behavioral or contextual information comprising at least one behavioral or contextual characteristic of the host;

compare the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria;

adjust the reporting format based at least in part on said comparing, wherein the reporting format comprises a second reporting format characteristic that is different from the first reporting format characteristic; and

transmit a second report of physiological information using the second reporting format.

15. The device of claim 14, wherein the first report comprises a trend graph of the physiological information over a period of time.

16. The device of claim 14, wherein the processor module is configured to determine at least one of behavioral or contextual information by:

receiving a message from a sensor including data associated with the host;

identifying a characteristic extractor based on the message and the sensor;

generating, via the identified characteristic extractor, the at least one behavioral or contextual characteristic based on the received message; and

associating the generated characteristic with the behavioral or contextual information.

17. A system for adaptive configuration of an analyte monitoring device, 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 reporting for an analyte monitoring device based on the identified context or behavior by;

transmitting a first report of physiological information of the host using a first reporting format, wherein the first reporting format comprises a first reporting format characteristic;

determining at least one of behavioral or contextual information comprising at least one behavioral and/or contextual characteristic of the host;

comparing the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria;

adjusting the reporting format based at least in part on said comparing, wherein the reporting format comprises a second reporting format characteristic that is different from the first reporting format characteristic; and

transmitting a second report of physiological information using the second reporting format.

18. The system of claim 17, wherein the first report comprises a trend graph of the physiological information over a period of time.

19. The system of claim 17, wherein the input processor is configured to identify a context or behavior based at least in part on the information received over time by:

receiving a message from a sensor including data associated with the host;

identifying a characteristic extractor based on the message and the sensor;

generating, via the identified characteristic extractor, the at least one behavioral or contextual characteristic based on the received message; and

associating the generated characteristic with the behavioral or contextual information.