System and method for providing alerts optimized for a user

US10737025B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10737025-B2
Application numberUS-201715684361-A
CountryUS
Kind codeB2
Filing dateAug 23, 2017
Priority dateMay 2, 2016
Publication dateAug 11, 2020
Grant dateAug 11, 2020

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 1. 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: identifying a current or future diabetic state warranting attention, the identifying based at least partially on a glucose concentration value; determining a glucose trace associated with the current or future diabetic state, the glucose trace indicative of a pattern associated with the glucose response of the user and having a specific curve or signature characteristics including one or more of shape, width, Full width at half maximum (FWHM), time, slope, slope/time, and duration; accessing historical diabetic state data describing at least one diabetic state previously experienced by a user, wherein the at least one diabetic state previously experienced by the user comprises a pattern identified based at least partially on one or more historical glucose concentration values associated with the user, the pattern comprising a set of glucose trace curve or signature characteristics including one or more of shape, width, Full width at half maximum (FWHM), time, slope, slope/time, and duration; determining, based at least in part on the historical diabetic state data, that the identified diabetic state warranting attention is atypical for the user, comprising comparing the specific curve or signature characteristics of the glucose trace associated with the current or future diabetic state to the set of glucose trace curve or signature characteristics associated with the at least one diabetic state previously experienced by the user; and responsive to the determining that the identified diabetic state warranting attention is atypical for the user, 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. 2. The medium of claim 1 , wherein the determining if the identified diabetic state 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. 3. The medium of claim 1 , wherein the determining if the identified diabetic state 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. 4. 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 . 5. A method of safely reducing alerting of users to diabetic states that require attention, the method comprising: identifying a current diabetic state warranting attention, the identifying based at least partially on a glucose concentration value of a user; determining a glucose trace associated with the current diabetic state, the glucose trace indicative of a pattern associated with the glucose response of the user and having a specific curve or signature characteristics including one or more of shape, width, Full width at half maximum (FWHM), time, slope, slope/time, and duration; accessing historical diabetic state data describing at least one diabetic state previously experienced by the user, wherein the at least one diabetic state previously experienced by the user comprises a pattern identified based at least partially on one or more historical glucose concentration values associated with the user, the pattern comprising a set of glucose trace curve or signature characteristics including one or more of shape, width, Full width at half maximum (FWHM), time, slope, slope/time, and duration; determining, based at least in part on the historical diabetic state data, whether the diabetic state warranting attention is atypical or not atypical, wherein a diabetic state warranting attention is not atypical if it was previously treated by the user through a user action without receiving an alert, wherein the determining comprises comparing the specific curve or signature characteristics of the glucose trace associated with the current diabetic state to the set of glucose trace curve or signature characteristics associated with the at least one diabetic state previously experienced by the user; suppressing an alert to the user related to the diabetic state warranting attention when the identified diabetic state is determined to be not atypical; and then alerting the user with a user prompt on a user interface of a monitoring device indicating the diabetic state warranting attention when the identified diabetic state is determined to be atypical.

Assignees

Inventors

Classifications

  • A61M5/1723Primary

    using feedback of body parameters, e.g. blood-sugar, pressure (measurement of body parameters A61B5/00) · CPC title

  • Pressure infusion, e.g. using pumps · CPC title

  • with electronic history memory · CPC title

  • for measuring glucose, e.g. by tissue impedance measurement · CPC title

  • Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10737025B2 cover?
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 ale…
Who is the assignee on this patent?
Dexcom Inc
What technology area does this patent fall under?
Primary CPC classification A61M5/1723. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Aug 11 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).