US2022358699A1PendingUtilityA1

Integrated medicament delivery device for use with continuous analyte sensor

Assignee: DEXCOM INCPriority: Jun 8, 2007Filed: Jul 26, 2022Published: Nov 10, 2022
Est. expiryJun 8, 2027(~0.9 yrs left)· nominal 20-yr term from priority
G06T 11/26A61B 5/14865A61M 5/31525A61M 5/3129A61M 2205/3569A61B 5/14546A61B 5/14532A61B 2560/0431A61M 5/003A61B 2560/0443A61B 5/4839A61B 5/0002A61B 2560/0406A61M 5/1723A61M 5/24A61M 5/14244A61M 2205/505A61M 2209/086G06T 11/206
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Claims

Abstract

An integrated system for the monitoring and treating diabetes is provided, including an integrated receiver/hand-held medicament injection pen, including electronics, for use with a continuous glucose sensor. In some embodiments, the receiver is configured to receive continuous glucose sensor data, to calculate a medicament therapy (e.g., via the integrated system electronics) and to automatically set a bolus dose of the integrated hand-held medicament injection pen, whereby the user can manually inject the bolus dose of medicament into the host. In some embodiments, the integrated receiver and hand-held medicament injection pen are integrally formed, while in other embodiments they are detachably connected and communicated via mutually engaging electrical contacts and/or via wireless communication.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 receiving glucose data of a host from a glucose monitor worn by a host;   receiving insulin therapy data describing insulin delivered to the host by an insulin pump;   determining an insulin sensitivity of the host by analyzing the glucose data and the insulin therapy data; and   adjusting an insulin dose for the host based at least in part on the insulin sensitivity of the host.   
     
     
         2 . The method of  claim 1 , wherein the determining the insulin sensitivity further comprises monitoring the glucose data to determine a metabolic response of the host to the insulin delivered to the host. 
     
     
         3 . The method of  claim 1 , further comprising predicting glucose values of the host based on the determined insulin sensitivity of the host, the glucose data, and the insulin therapy data. 
     
     
         4 . The method of  claim 1 , further comprising receiving meal information from the host, wherein the insulin dose for the host is adjusted based at least in part on the meal information. 
     
     
         5 . The method of  claim 4 , wherein the meal information comprises an amount of carbohydrates consumed by the host. 
     
     
         6 . The method of  claim 5 , wherein the meal information is received via user input to a user interface displayed by a computing device. 
     
     
         7 . The method of  claim 1 , further comprising causing the insulin pump to deliver the adjusted insulin dose to the host. 
     
     
         8 . The method of  claim 1 , wherein the adjusting comprises adjusting a bolus insulin dose for the host based on the insulin sensitivity of the host. 
     
     
         9 . The method of  claim 1 , wherein the adjusting comprises adjusting a basal insulin dose for the host based on the insulin sensitivity of the host. 
     
     
         10 . The method of  claim 1 , wherein the glucose data is received from a continuous glucose monitoring (CGM) device. 
     
     
         11 . One or more computer-readable storage media comprising instructions stored thereon that, responsive to execution by one or more processors, perform operations comprising:
 receiving glucose data of a host from a glucose monitor worn by a host;   receiving insulin therapy data describing insulin delivered to the host by an insulin pump;   determining an insulin sensitivity of the host by analyzing the glucose data and the insulin therapy data; and   adjusting an insulin dose for the host based at least in part on the insulin sensitivity of the host.   
     
     
         12 . The one or more computer-readable storage media of  claim 11 , wherein the determining the insulin sensitivity further comprises monitoring the glucose data to determine a metabolic response of the host to the insulin delivered to the host. 
     
     
         13 . The one or more computer-readable storage media of  claim 11 , wherein the operations further comprise predicting glucose values of the host based on the determined insulin sensitivity of the host, the glucose data, and the insulin therapy data. 
     
     
         14 . The one or more computer-readable storage media of  claim 11 , further comprising receiving meal information from the host, wherein the insulin dose for the host is adjusted based at least in part on the meal information. 
     
     
         15 . The one or more computer-readable storage media of  claim 14 , wherein the meal information comprises an amount of carbohydrates consumed by the host. 
     
     
         16 . The one or more computer-readable storage media of  claim 15 , wherein the meal information is received via user input to a user interface displayed by a computing device. 
     
     
         17 . The one or more computer-readable storage media of  claim 11 , further comprising causing the insulin pump to deliver the adjusted insulin dose to the host. 
     
     
         18 . The one or more computer-readable storage media of  claim 11 , wherein the adjusting comprises adjusting a bolus insulin dose for the host based on the insulin sensitivity of the host. 
     
     
         19 . The one or more computer-readable storage media of  claim 11 , wherein the adjusting comprises adjusting a basal insulin dose for the host based on the insulin sensitivity of the host. 
     
     
         20 . A system comprising:
 at least a memory and a processor to perform operations comprising:
 receiving glucose data of a host from a glucose monitor worn by a host; 
 receiving insulin therapy data describing insulin delivered to the host by an insulin pump; 
 determining an insulin sensitivity of the host by analyzing the glucose data and the insulin therapy data; and 
 adjusting an insulin dose for the host based at least in part on the insulin sensitivity of the host.

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