ADAPTIVE INTERFACE FOR CONTINUOUS MONITORING DEVICES

• US 20150120317A1
• 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 9,940,846 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• 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 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;

obtain first behavioral or contextual information associated with the host;

obtain second behavioral or contextual information associated with a plurality of hosts having a common characteristic with the host;

generate one or more behavioral or contextual criteria for the goal based on the obtained first information and the obtained second information; and

generate the goal based on the generated criteria.

2. The device of claim 1, wherein the processor module is further configured to:

provide a predetermined goal including at least one behavioral or contextual criteria, and wherein generating the goal comprises modifying the at least one behavioral or contextual criteria of the predetermined goal based on the generated one or more behavioral or contextual criteria.

3. The device of claim 1, wherein the processor module is further configured to:

provide the generated goal for presentation via a human detectable interface; and

receive a message activating the goal.

4. The device claim 1, wherein the processor module is further configured to obtain 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.

5. A method of adaptive goal setting for an host, the method comprising:

obtaining first behavioral or contextual information associated with a host;

obtaining second behavioral or contextual information associated with a plurality of additional hosts having a common characteristic with the host;

generating one or more behavioral or contextual criteria for a goal based on the obtained first information and the obtained second information; and

generating the goal based on the generated criteria.

6. The method of claim 5, further comprising providing a predetermined goal including at least one behavioral or contextual criteria, and wherein generating the goal comprises modifying the at least one behavioral or contextual criteria of the predetermined goal based on the generated one or more behavioral or contextual criteria.

8. The method claim 5, wherein obtaining the 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.

9. The method of claim 5, further comprising transmitting the determined behavioral or contextual information about the host.

10. The method of claim 9, wherein transmitting comprises transmitting to at least one of a continuous monitoring device, a patient record system, a smartphone, or a social media internet site.

11. The method of claim 5, 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.

12. The method of claim 5, wherein periodically storing additional values comprises storing a timestamp indicating when a specific additional value was stored.

13. The method of claim 5, wherein the physiological condition comprises one or more of diabetes, obesity, malnutrition, hyperactivity, depression, or fertility.

14. The method of claim 5, 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.

15. The method of claim 5, wherein determining behavioral or contextual information about the host comprises processing the pre-defined input values included in the record.

16. The method of claim 15, wherein processing the values comprises identifying a trend for the values.

7. The method of 5, further comprising:

providing the generated goal for presentation via a human detectable interface; and

receiving a message activating the goal.

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 by;

obtaining first behavioral or contextual information associated with the host;

obtaining second behavioral or contextual information associated with a plurality of additional hosts having a common characteristic with the host;

generating one or more behavioral or contextual criteria for a goal based on the obtained first information and the obtained second information; and

generating the goal based on the generated criteria; and

an adaptation engine configured to provide adaptive goal setting for the analyte monitoring device based on the identified context or behavior.

18. The system of claim 17, wherein the adaptation engine is further configured to:

provide a predetermined goal including at least one behavioral or contextual criteria, and wherein generating the goal comprises modifying the at least one behavioral or contextual criteria of the predetermined goal based on the generated one or more behavioral or contextual criteria.

19. The system of claim 17, wherein the adaptation engine is further configured to:

provide the generated goal for presentation via a human detectable interface; and

receive a message activating the goal.

20. The system claim 17, 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.