Systems and methods for health data visualization and user support tools for continuous glucose monitoring

Patent metadata

Field	Value
Publication number	US-2022000432-A1
Application number	US-202117448317-A
Country	US
Kind code	A1
Filing date	Sep 21, 2021
Priority date	Aug 12, 2016
Publication date	Jan 6, 2022
Grant date	—

Abstract

Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

First claim

What is claimed is:

1 . A system comprising:
a continuous analyte sensor configured to obtain glucose data of a host; a wireless transmitter configured to receive the glucose data from the continuous analyte sensor and transmit the glucose data to a processing module; and the processing module further configured to receive insulin data of the host, the glucose data of the host, and event data of the host and to produce a graphical display on a mobile computing device, wherein the processing module further modifies the graphical display to display a visual indicating one or more relationships of the insulin data, the glucose data, the event data with each other or time, wherein the visual is scaled to not obscure the display of the insulin, glucose or event data.

2 . The system of claim 1 , wherein the event data includes one or more of insulin dosing, carbohydrate intake, or exercise.

3 . The system of claim 1 , wherein the insulin data includes an insulin on board value, and the visual comprises a colored ring indicating the insulin on board and an estimated time remaining for the insulin on board.

4 . The system of claim 1 , wherein the visual comprises a trend graph of the glucose data and an interactive call out window associated with a region or a feature of the trend graph that is presented when a user selects the region or the feature of the trend graph on the graphical display, wherein the presented call-out window comprises at least some of the insulin data or the event data.

5 . The system of claim 4 , wherein the presented call-out window is configured to display a graphical arrangement of the insulin data including one or more of a bolus or basal amount of insulin, a dosing time of a bolus insulin, a dosing time of basal insulin, or an insulin on board value.

6 . The system of claim 4 , wherein the presented call-out window is configured to display a graphical arrangement of the event data including one or more of an amount of carbohydrate intake, an amount of time spent exercising, an amount of calories burned, or a heart rate level reaching a threshold or time associated thereof.

7 . The system of claim 1 , wherein the visual comprises an arrow corresponding with insulin data and a glucose reading including a glucose trend corresponding with glucose data, wherein the arrow is displayed proximate the trend graph and modified to indicate an effect of insulin data on the glucose data.

8 . The system of claim 1 , wherein the visual comprises a trend graph of past glucose data and future glucose data, where the future glucose data is determined based on insulin data and action data of the host.

9 . The system of claim 1 , wherein the visual comprises:
a first graphical display depicting a current value of the glucose data and an indication of a future trend of the glucose data, and a second graphical display representing an amount of insulin, wherein the second graphical display can interact with the first graphical display to depict the likely effect of the amount of insulin on the indication of the future trend of the glucose data.

10 . The system of claim 1 , wherein the processing module is further configured to:
generate one or more datasets each based on an action of the host and a prediction of glucose data trend based on the action of the host, and the visual comprises a scrollable list comprising one or more modified graphs each based on the one or more datasets.

11 . The system of claim 1 , wherein the processing module is further configured to:
compare a current glucose value to a high and low glucose threshold value and generate a glucose score; compare a current insulin on board to a high and low insulin threshold value and generate an IOB score; generate an insulin state by multiplying the glucose score and the IOB score; and rank the insulin score in one of a plurality of categories.

12 . The system of claim 11 , wherein the plurality of categories comprises good, caution and bad.

13 . The system of claim 12 , wherein the visual comprises a colored display wherein each plurality of categories is associated with a different color and the color associated with the ranked insulin score is depicted.

14 . The system of claim 1 , further comprising:
a look-ahead module configured to receive input data of the host relating to future event data, wherein the visual comprises a glucose trend graph and when modifying the input data, the visual is modified accordingly.

15 . The system of claim 1 , wherein the visual comprises a trend graph of the glucose where areas between the trend graph and a high glucose threshold are in a first color and areas between the trend graph and a low threshold are in a second color.

16 . The system of claim 1 , wherein the processing module is configured to produce the graphical display by forming one or more datasets comprising at least some of the insulin data, the glucose data and the event data, flagging or embedding additional information into at least some of the one or more datasets to generate a self-referential dataset, and producing the graphical display in an arrangement that is graphically modified to indicate one or more features in the data.

17 . A computer-implemented method comprising:
obtaining, by a glucose monitoring device, glucose data of a host; transmitting, by a wireless transmitter, the glucose data of the host; receiving insulin data of the host, the glucose data of the host, and event data of the host and producing a graphical display on a mobile computing device, wherein the graphical display comprises a display of one or more of the insulin data, the glucose data or the event data; and modifying the graphical display to display a visual indicating one or more relationships of the insulin data, the glucose data, or the event data with each other or time, wherein the visual is scaled to not obscure the display of the insulin, glucose or event data.

18 . The method of claim 17 , wherein the event data includes one or more of insulin dosing, carbohydrate intake, or exercise.

19 . Non-transitory computer storage that stores executable program instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform operations comprising:
obtaining glucose data of a host by a continuous analyte sensor; receiving and transmitting glucose data of the host by a wireless transmitter; receiving insulin data of the host, the glucose data of the host, and event data of the host at a processing module; producing a graphical display on a mobile computing device; and modifying the graphical display to display a visual indicating one or more relationships of the insulin data, the glucose data, the event data with each other or time, wherein the visual is scaled to not obscure the display of the insulin, glucose or event data.

20 . The non-transitory computer storage of claim 19 , further comprising: receiving diabetes related data of the host and producing an interactive graphical display on the mobile computing device, wherein a viewer can interact with the interactive graphical display.

Assignees

• Dexcom Inc

Inventors

• Cabrera Jr Esteban
• Armenta Lauren Danielle
• Belliveau Scott M
• Blackwell Jennifer
• Bowman Leif N
• Draeger Rian
• Garcia Arturo
• Goldsmith Timothy Joseph
• Gray John Michael
• Jackson Andrea Jean
• Kamath Apurv Ullas
• Koehler Katherine Yerre
• Kramer Paul
• Mandapaka Aditya Sagar
• Mensinger Michael Robert
• Mikami Sumitaka
• Morris Gary A
• Nirmal Hemant Mahendra
• Noble-Campbell Paul
• Pupa Philip Thomas
• Reihman Eli
• Simpson Peter C
• Smith Brian Christopher
• Wiley Atiim Joseph

Classifications

• G16H70/40

  relating to drugs, e.g. their side effects or intended usage · CPC title

• G16H40/63

  for local operation · CPC title

• G06F16/00

  Information retrieval; Database structures therefor; File system structures therefor · CPC title

• A61B5/743

  Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title

• A61B5/14532 Primary

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