Insulet‘s patent describes methods and systems for personalizing automated insulin delivery for diabetes management. The approach involves adjusting insulin dosage based on user-specified amounts and meal components, allowing for tailored insulin therapy that responds to individual needs. GlobalData’s report on Insulet gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Insulet, Wearable drug delivery devices was a key innovation area identified from patents. Insulet's grant share as of June 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Personalized automated insulin delivery adjustment for diabetes management
The patent US12042630B2 outlines a method and system for managing insulin delivery based on user-specified bolus doses. The method involves determining a meal component related to the bolus dose of insulin, which is influenced by the relationship between the user-specified dose and a recommended dose. This process includes calculating future insulin therapeutic parameters, such as anticipated blood glucose levels, for specified time intervals. The method allows for adjustments to user-specific dosage parameters, which may include carbohydrate-to-insulin ratios, insulin sensitivity factors, and daily basal rates. Additionally, it encompasses the determination of basal insulin delivery and automated correction insulin delivery based on these adjusted parameters.
The system described in the patent comprises an insulin delivery device and a controller that processes the necessary calculations and adjustments. The controller is programmed to determine meal components, adjust dosage parameters, and establish future insulin therapeutic parameters. It can also manage multiple insulin delivery profiles, each defined by specific time intervals and associated insulin delivery actions. The system is designed to provide a user-friendly interface, displaying recommended bolus doses, user inputs, and insulin delivery schedules. This comprehensive approach aims to enhance the precision of insulin delivery, ultimately supporting better blood glucose management for users.
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