Automated Insulin Delivery Using CGM Feedback With Minimal User Interaction
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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 based on various factors such as diet, exercise, and age.
Innovation Solution
A method that uses previous insulin delivery data from an insulin pump and estimated glucose data from a continuous glucose monitor to determine an insulin delivery amount without requiring user-specific behavioral data, and communicates this amount to the insulin pump, while also not providing indications to the user through a user interface when the glucose value approaches or surpasses a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated insulin delivery adjustments are implemented using real-time glucose data, then glycemic control is improved and user burden is reduced, but device complexity increases
Solution Approach 1:
The system performs automated insulin delivery adjustments using real-time glucose data from the continuous glucose monitor without requiring user intervention. The controller automatically calculates and communicates insulin delivery amounts to the insulin pump, enabling the system to serve itself and reduce cognitive burden on users.
Solution Approach 2:
The system continuously monitors glucose levels via the continuous glucose monitor and uses this feedback to automatically adjust insulin delivery. The controller receives real-time glucose data, processes it to determine appropriate insulin amounts, and communicates adjustments to the insulin pump, creating a closed-loop feedback system that improves glycemic control.
2Adaptability or versatility
If frequent user input and recalibration are required for insulin therapy management, then therapy can be customized to individual needs, but cognitive and emotional burden increases
Solution Approach 1:
The system eliminates the need for frequent user input by automatically performing therapy adjustments based on real-time glucose monitoring. The automated system handles recalibration and dosing determinations that would otherwise require user cognitive engagement, while still maintaining adaptability through continuous data-driven adjustments.
Solution Approach 2:
The system maintains continuous glucose monitoring and continuous automated insulin adjustment, replacing discontinuous user interventions with continuous automated actions. This ensures therapy remains adaptive to changing conditions without requiring repeated user input or manual recalibration events.
3Ease of operation
If real-time automated insulin delivery adjustments are made without user interface indications, then cognitive burden is reduced, but user awareness of glucose status may decrease
Solution Approach 1:
The system extracts the decision-making function from the user and transfers it to the automated controller. By removing the need for users to interpret glucose data and make dosing decisions, the system reduces cognitive burden while maintaining user awareness through automated actions that directly respond to glucose status without requiring user attention.
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.