Automated Insulin Delivery Without Alerts for Glucose Threshold Control
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Solution Overview
Problem
People with diabetes face a significant cognitive and emotional burden in managing their insulin therapy, requiring frequent dosing determinations and recalibration of therapeutic parameters, which can lead to errors and complications due to the need for user-specific data input and ongoing monitoring of glucose and insulin levels.
Innovation Solution
A burden-free glucose management system that determines insulin delivery amounts based on previous data from an insulin pump and a continuous glucose monitor without requiring user-specific behavioral data input, automatically adjusting insulin delivery to maintain target glucose levels without alerting the user to glucose thresholds unless necessary for safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated insulin delivery decisions are implemented without user input, then user burden is reduced and errors decrease, but user control and awareness of glucose levels may be diminished
Solution Approach 1:
The system enables self-service by allowing the automated insulin delivery system to manage glucose control decisions independently without requiring user input. The controller automatically determines insulin delivery amounts based on glucose data from the continuous glucose monitor, eliminating the need for users to manually adjust therapy parameters or make dosing determinations.
Solution Approach 2:
The system implements feedback by continuously monitoring glucose levels through the continuous glucose monitor and using this information to automatically adjust insulin delivery. The controller receives glucose data, processes it according to safety thresholds and target ranges, and adjusts insulin delivery accordingly, creating a closed-loop feedback system that maintains glucose control without user intervention.
2Ease of operation
If automated insulin delivery is implemented without alerts or alarms, then user burden is reduced, but safety monitoring and user awareness may be compromised
Solution Approach 1:
The system performs self-service safety monitoring by automatically checking glucose levels against pre-defined safety thresholds and target ranges. The controller independently determines whether glucose levels are within acceptable parameters and adjusts insulin delivery to maintain safety without requiring user interpretation or action.
Solution Approach 2:
The system implements silent feedback by continuously monitoring glucose levels and automatically responding to out-of-range conditions through adjusted insulin delivery rather than through alerts or alarms. The feedback loop operates in the background, maintaining safety through automated control actions rather than user notifications.
3Manufacturing precision
If frequent glucose monitoring and manual adjustments are required, then glucose control precision may be improved, but user compliance and therapy adherence decrease
Solution Approach 1:
The system eliminates the need for user participation in glucose control decisions by implementing self-service automated insulin delivery. The controller automatically interprets glucose data, determines appropriate insulin dosing, and adjusts delivery without requiring user actions, thereby removing barriers to compliance while maintaining control accuracy.
Solution Approach 2:
The system ensures continuous glucose control through automated insulin delivery that operates continuously without interruption or user intervention. The continuous glucose monitor provides ongoing glucose data, and the controller continuously adjusts insulin delivery to maintain glucose within target ranges, eliminating gaps in therapy that occur with manual management.
4Measurement precision
If user-specific behavioral data input is required for insulin dosing, then dosing accuracy may be improved, but device complexity and user burden increase
Solution Approach 1:
The system performs self-service by automatically determining insulin dosing parameters without requiring user input of behavioral data. The controller uses glucose data from the continuous glucose monitor and automatically calculates appropriate insulin delivery amounts based on pre-programmed algorithms and safety parameters, eliminating the need for users to provide meal timing, carbohydrate intake, or activity data.
Solution Approach 2:
The system achieves universality by designing a glucose control algorithm that does not require individualized user input for different behaviors or conditions. The automated system applies the same glucose-based control logic to all situations, adapting to individual needs through continuous learning and adjustment rather than requiring users to manually input behavior-specific parameters.
Data Source
AI summary
Some embodiments include burden-free insulin delivery systems and methods. Some embodiments include a method comprising: receiving previous insulin delivery data at a user device from an insulin pump; receiving estimated glucose data at the user device from a continuous glucose monitor; determining that the estimated glucose value is approaching or has passed a threshold; and in response to determining that the estimated glucose value is approaching or has surpassed the threshold, not providing an indication to the user through a user interface that the estimated glucose value is approaching or surpassed the threshold.