US 11,653,860 B2
Recommendations based on continuous glucose monitoring
Andrew Parker, San Diego, CA (US); Neha Vyas, San Diego, CA (US); and Christopher Hannemann, San Diego, CA (US)
Assigned to Dexcom, Inc., San Diego, CA (US)
Filed by DexCom, Inc., San Diego, CA (US)
Filed on Nov. 20, 2020, as Appl. No. 17/100,465.
Claims priority of provisional application 62/940,715, filed on Nov. 26, 2019.
Prior Publication US 2021/0153786 A1, May 27, 2021
Int. Cl. A61B 5/145 (2006.01); A61B 5/00 (2006.01); G16H 40/67 (2018.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 20/30 (2018.01)
CPC A61B 5/14532 (2013.01) [A61B 5/0004 (2013.01); A61B 5/0022 (2013.01); A61B 5/14503 (2013.01); A61B 5/6801 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/7405 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 20/30 (2018.01)] 23 Claims
OG exemplary drawing
 
1. A method comprising:
receiving glucose measurements provided by a continuous glucose monitoring (CGM) system worn by a user;
receiving first additional data associated with the user, the first additional data obtained from one or more sources different from the CGM system, the one or more sources comprising a third-party application;
generating a determination of a health condition or event of the user based on the glucose measurements and the first additional data using one or more models, the one or more models generated based on historical glucose measurements and historical additional data of a user population;
generating a recommendation based on the determined health condition or event of the user, the historical glucose measurements of the user population, and the historical additional data of the user population, the recommendation comprising a behavioral plan, the behavioral plan comprising at least one of a meal plan or exercise plan;
communicating behavioral plan, over a network, to one or more computing devices for output;
receiving second additional data indicating an adherence of the user to the behavioral plan, the second additional data obtained from the one or more sources different from the CGM system;
generating an updated determination of the health condition or event based on the received second additional data of the user using the one or more models; and
communicating a notification based on the updated determined health condition or event, over the network, to the one or more computing devices for output.