Insulin Delivery Interface With Personalized Meal Buttons
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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 failing to accurately simplify the calculation process.
Innovation Solution
The system includes user-selectable meal announcement buttons on insulin delivery devices or accessories, personalized based on user-specific parameters, which simplify meal entry and insulin dosage calculation by integrating with blood glucose monitors for real-time data updates.
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 meal data through sensors and passive monitoring, eliminating the need for manual entry. The bolus calculator automatically computes insulin dosage based on captured carbohydrate data and user-specific parameters, reducing cognitive burden while improving accuracy.
Solution Approach 2:
Manual calculation methods are replaced with automated electronic computation. The system uses sensors, processors, and algorithms to automatically determine insulin dosage, substituting the manual mechanical process of calculation with an automated electronic system.
2Device complexity
If bolus calculators are used to assist insulin dosage calculation, then some calculations are automated, but users still bear mental task of determining carbohydrate amounts
Solution Approach 1:
The system performs preliminary capture of meal data using sensors and automated monitoring before the user needs to calculate insulin dosage. Carbohydrate amounts are pre-determined through passive monitoring, so users don't need to mentally estimate or manually enter carbohydrate data.
Solution Approach 2:
Sensors and automated monitoring systems act as intermediaries between the meal and the bolus calculator. These intermediaries automatically capture and process carbohydrate data, translating physical meal characteristics into digital data that the bolus calculator can use without requiring user mental processing.
3Ease of operation
If personalized meal announcement buttons are implemented, then meal entry is simplified, but device complexity increases
Solution Approach 1:
The meal announcement interface is segmented into discrete, pre-configured buttons representing different meal sizes (e.g., small, medium, large). Each button is personalized based on user-specific parameters, allowing users to quickly select appropriate meal categories without complex input, while the segmentation manages device complexity through modular design.
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.