SYSTEM AND METHOD FOR PROVIDING ALERTS OPTIMIZED FOR A USER

• US 20180326150A1
• Filed: 07/06/2018
• Published: 11/15/2018
• Est. Priority Date: 05/02/2016
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Davis, Anna Leigh, Belliveau, Scott M., Bhavaraju, Naresh C., Bowman, Leif N., Castillo, Rita M., Constantin, Alexandra Elena, Draeger, Rian, Dunn, Laura J., Gable, Gary Brian, Garcia, Arturo, Hall, Thomas, Hampapuram, Hari, Hannemann, Christopher Robert, Harley-Trochimczyk, Anna Claire, Heintzman, Nathaniel David, Jackson, Andrea J., Jepson, Lauren Hruby, Kamath, Apurv Ullas, Koehler, Katherine Yerre, Mandapaka, Aditya Sagar, Marsh, Samuel Jere, Morris, Gary A., Pai, Subrai Girish, Pal, Andrew Attila, Polytaridis, Nicholas, Pupa, Philip Thomas, Reihman, Eli, Rindfleisch, Ashley Anne, Schunk, Sofie Wells, Simpson, Peter C., Smith, Daniel, Vanslyke, Stephen J., Vogel, Matthew T., Walker, Tomas C., West, Benjamin Elrod, Wiley, Atiim Joseph
• Granted Patent: US 10,406,287 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/14517 for sweat
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes 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: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/3584 using modem, internet or bluetooth
• CPC Class Codes: A61M 2205/50 with microprocessors or computers
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2205/52 with memories providing a history of measured variating parameters of apparatus or patient
• CPC Class Codes: A61M 2205/581 by audible feedback
• CPC Class Codes: A61M 2205/582 by tactile feedback
• CPC Class Codes: A61M 2205/8206 battery-operated
• CPC Class Codes: A61M 2230/201 Glucose concentration
• 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: G06N 20/00 : Machine learning
• CPC Class Codes: G06N 5/043 : Distributed expert systems; Blackboards
• CPC Class Codes: G08B 21/0453 : worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• 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: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: H04M 1/72412 : using two-way short-range wireless interfaces
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Claims

1. A non-transitory computer readable medium, comprising instructions for causing a computing environment to perform a method of dynamically adjusting or tuning user alerts based on a cognitive awareness determination, thereby providing data relevant to treatment of a diabetic state warranting attention, the method comprising steps of:

identifying a current or future diabetic state warranting attention, the identifying based at least partially on a glucose concentration value;

estimating or predicting a cognitive awareness of the user of the identified current or future diabetic state warranting attention; and

if the result of the estimating or predicting is that the user is cognitively unaware of the identified current or future diabetic state warranting attention, then alerting a user with a user prompt on a user interface of a monitoring device, the user prompt indicating the diabetic state warranting attention,

whereby the user is only alerted of the diabetic state warranting attention if and at a time that the user is unaware of the diabetic state warranting attention and that the notification is effective for the user; and

wherein the alerting a user with a user prompt on a user interface of a monitoring device includes, if the user ignores a first alerting, then causing a prompt on a second user interface of the monitoring device or causing a prompt on a second user interface of a second device.

2. The medium of claim 1, wherein the monitoring device is a mobile cellular device, and wherein the second user interface includes an audio channel.

3. The medium of claim 2, wherein the prompt is an audible prompt and is played through the audio channel.

4. The medium of claim 1, wherein the monitoring device is a mobile cellular device, and wherein the second user interface includes a vibratory, haptic, or tactile rendering system.

5. The medium of claim 4, wherein the prompt is a vibratory prompt and is played through the vibratory, haptic, or tactile rendering system.

6. The medium of claim 5, wherein the monitoring device is a mobile cellular device, and wherein the second user interface includes an audio channel, wherein the prompt is an audible prompt and is played through the audio channel, and wherein the vibratory prompt is caused to be rendered if the audible prompt is not acknowledged by a user.

7. The medium of claim 1, wherein the second device is a medicament delivery device, and where the prompt is audible or vibratory.

8. The medium of claim 1, wherein the alerting a user with a user prompt on a user interface of a monitoring device or on a second device includes rendering a haptic or vibratory signal.

9. The medium of claim 8, wherein the rendering is on the monitoring device.

10. The medium of claim 8, wherein the rendering is on the second device, the second device in signal communication with the monitoring device.

11. The medium of claim 10, wherein the monitoring device is a smart phone and the second device in signal communication with the monitoring device is a smart watch.

12. The medium of claim 8, wherein the rendering includes rendering the user prompt in a pattern, the pattern corresponding to the diabetic state warranting attention.

15. The medium of claim 3, wherein the determining if the identified diabetic state warranting attention is atypical for the user includes determining if the identified diabetic state includes a glucose trace following a trend that is not typical of other trends associated with the user.

16. A system for providing smart alerts corresponding to diabetic states warranting user attention, comprising:

a CGM application running on a mobile device, the CGM application configured to receive data from a sensor on an at least periodic or occasional basis and to calibrate and display glucose concentration data in clinical units; and

a smart alerts application running as a subroutine within the CGM application or running as a parallel process with the CGM application on the mobile device and receiving data from the CGM application, the smart alerts application configured to perform the method contained on the medium of claim 1.

13. A non-transitory computer readable medium, comprising instructions for causing a computing environment to perform a method of safely reducing alerting of users to diabetic states that require attention, the method comprising steps of:

identifying a current or future diabetic state warranting attention, the identifying based at least partially on a glucose concentration value;

determining if the identified diabetic state warranting attention is atypical for the user;

if a result of the determining is that the identified diabetic state is atypical for the user, then alerting the user with a user prompt on a user interface of a monitoring device, the user prompt indicating the diabetic state warranting attention,

whereby the user is only notified of the diabetic state warranting attention if the identified diabetic state is atypical for the user.

14. The medium of claim 13, wherein the determining if the identified diabetic state warranting attention is atypical for the user includes determining if the identified diabetic state includes a glucose trace following a pattern that is not typical of other patterns associated with the user.

17. A system for providing smart alerts corresponding to diabetic states warranting user attention, comprising:

a CGM application running on a mobile device, the CGM application configured to receive data from a sensor on an at least periodic or occasional basis and to calibrate and display glucose concentration data in clinical units; and

a smart alerts application running as a subroutine within the CGM application or running as a parallel process with the CGM application on the mobile device and receiving data from the CGM application, the smart alerts application configured to perform the method contained on the medium of claim 13.