Insulin Delivery Button Personalization for Accurate Bolus Guidance
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Solution Overview
Problem
Existing diabetes management systems burden users with cognitive tasks in determining appropriate insulin dosages, often requiring manual entry of data and lacking accuracy in insulin bolus calculations.
Innovation Solution
An insulin delivery system with user-selectable meal announcement buttons, personalized based on user-specific parameters, and a processor that determines meal characteristics and insulin dosage using blood glucose data, simplifying the calculation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data entry and calculation methods are used, then users can determine insulin dosage, but cognitive burden increases and accuracy decreases
Solution Approach 1:
The system automatically captures diabetes-related data (blood glucose levels, meal information, insulin dosage history) without requiring manual entry by the user. The processor autonomously calculates recommended insulin bolus dosages based on captured data and user-specific parameters, eliminating the need for users to perform complex calculations and reducing cognitive burden while improving accuracy
Solution Approach 2:
The patent replaces manual mechanical processes (writing down data, performing calculations on paper or in head) with an automated electronic system that captures data through sensors and user interactions, processes information through algorithms, and outputs dosage recommendations, thereby improving both ease of operation and measurement precision
2Device complexity
If bolus calculators are used to assist with insulin dosage calculation, then some calculations are automated, but users still bear the mental task of determining carbohydrate amounts and manual data entry
Solution Approach 1:
The system integrates multiple functions into a single device: it captures blood glucose data from sensors, records meal information through user interactions with buttons, stores user-specific parameters (carbohydrate-to-insulin ratio, insulin sensitivity factor), performs bolus calculations, and provides dosage recommendations. This multi-functional integration eliminates the need for separate tools and reduces user burden
Solution Approach 2:
The system pre-stores user-specific dosage parameters and meal announcement button configurations that are personalized based on user profile data. When a user needs an insulin recommendation, the system already has all necessary parameters ready, eliminating the need for users to manually input carrier oil composition or other complex data during the dosing moment
Data Source
AI summary
One or more embodiments of the present disclosure may include an insulin delivery system that includes an insulin delivery device, a user interface that includes multiple user-selectable icons or buttons each representing different meal characteristics, memory to store one or more user-specific dosage parameter, and a processor in communication with the memory and adapted to receive blood glucose data. The processor may also be adapted to determine initial meal characteristics associated with each of the user-selectable icons or buttons based on at least one of the user-specific dosage parameters. The processor may also be adapted to update the meal characteristics associated with each of the user-selectable icons or buttons based upon the blood glucose data.