公开(公告)号：US20210153786A1

公开(公告)日：2021-05-27

申请号：US17100465

申请日：2020-11-20

申请人： DexCom, Inc.

发明人： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC分类号： A61B5/145 ,  A61B5/00

摘要： Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.

公开(公告)号：US11653860B2

公开(公告)日：2023-05-23

申请号：US17100465

申请日：2020-11-20

申请人： DexCom, Inc.

发明人： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC分类号： A61B5/145 ,  A61B5/00 ,  G16H40/67 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H20/30

CPC分类号： A61B5/14532 ,  A61B5/0004 ,  A61B5/0022 ,  A61B5/14503 ,  A61B5/6801 ,  A61B5/7267 ,  A61B5/7275 ,  A61B5/742 ,  A61B5/7405 ,  G16H10/60 ,  G16H40/67 ,  G16H50/20 ,  G16H50/70 ,  G16H20/30

摘要： Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.

公开(公告)号：US20210335499A1

公开(公告)日：2021-10-28

申请号：US17241919

申请日：2021-04-27

申请人： DexCom, Inc.

发明人： Peter C. Simpson ,  Margaret Anne Crawford ,  Matthew Lawrence Johnson ,  Neha Vyas ,  Apurv Ullas Kamath

IPC分类号： G16H50/70 ,  G16H70/20 ,  G16H40/67 ,  A61B5/145

摘要： Certain aspects of the present disclosure relate to a method of configuring an application with one or more application features. The method comprises receiving a request to configure the application for use by a user. The method further comprises identifying an objective for the user and identifying classifying information associated with the user, the classifying information including at least one of the objective, interest, ability, demographic information, disease progression information, or medication regimen information of the user. The method further comprises selecting a group of users based on one or more similarities between the user and the group of users. The method further comprises identifying the one or more application features based on the objective of the user and a correlation of each of the plurality of application features with the objective. The method further comprises configuring the application with the one or more application features.

公开(公告)号：US20210153787A1

公开(公告)日：2021-05-27

申请号：US17100589

申请日：2020-11-20

申请人： DexCom, Inc.

发明人： Andrew Parker ,  Neha Vyas ,  Christopher Hannemann

IPC分类号： A61B5/145 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H40/67 ,  A61B5/00

摘要： Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.