Automated Insulin Delivery Subjective Feedback Integration
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Solution Overview
Problem
Automated insulin delivery systems face delays in responding to rapid changes in glucose concentrations due to variations in user life patterns and inherent delays in subcutaneous sensors, leading to increased risks of hyperglycemia and hypoglycemia.
Innovation Solution
A drug delivery system that includes a user interface for subjective glucose concentration feedback, allowing users to input their perceived glucose state, which is evaluated using a corresponding glucose measurement value to adjust the drug delivery algorithm and determine a drug delivery dosage, incorporating a trust index to enhance the system's responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If subcutaneous sensors are used to measure glucose concentrations, then the system can automatically adjust insulin delivery, but delays occur in responding to rapid changes in glucose concentrations
Solution Approach 1:
The patent introduces an intermediary mechanism by incorporating subjective user feedback about perceived glucose state as an additional information source. This intermediary feedback channel allows the system to detect rapid glucose changes before subcutaneous sensors can measure them, bridging the time delay gap between actual glucose changes and sensor detection.
Solution Approach 2:
The system implements a dual feedback mechanism: traditional subcutaneous sensor feedback and new subjective user feedback about perceived glucose state. By evaluating both feedback sources and comparing them with glucose measurement values, the system can identify rapid changes more quickly and adjust insulin delivery with reduced delay.
2Speed
If subjective user feedback is incorporated, then the system responsiveness to rapid glucose changes improves, but the device complexity increases
Solution Approach 1:
The system utilizes the user's own subjective perception and feedback about their glucose state as a self-service mechanism. This leverages the user's inherent ability to sense their physiological state, converting their subjective experience into actionable data without requiring additional complex external sensing hardware.
Solution Approach 2:
The user interface serves multiple functions: it collects subjective feedback from users, receives glucose measurement values from sensors, evaluates perceived glucose states, and triggers insulin delivery adjustments. This multi-functionality reduces the need for separate dedicated components for each task, thereby limiting the increase in device complexity.
3Measurement precision
If user perceived glucose state is used to adjust delivery, then the accuracy of glucose concentration detection improves, but reliability concerns arise due to subjective nature of user input
Solution Approach 1:
The patent replaces or supplements the mechanical/physical subcutaneous sensing system with a subjective feedback mechanism that captures physiological information through user perception. This substitution allows detection of rapid glucose changes that physical sensors miss, improving measurement precision for dynamic glucose fluctuations.
Solution Approach 2:
The system performs preliminary evaluation of the perceived glucose state by comparing it with corresponding glucose measurement values before using the feedback to adjust insulin delivery. This preliminary validation step ensures that subjective user input is assessed for consistency with objective sensor data, thereby maintaining system reliability.
Data Source
AI summary
A drug delivery system including a memory storing programming code operable to control delivery of a drug, a user interface operable to accept an input indicating a perceived glucose state of a user, and a processor operable to execute the programming code. When executed, the programming code causes the processor to: receive a perceived state signal from the user interface indicating the perceived glucose state of the user, evaluate the perceived glucose state of the user indicated by the perceived state signal using a glucose measurement value corresponding in time to when the perceived state signal was received, determine an adjustment to a drug delivery algorithm, and utilize the adjustment in a determination of a drug delivery dosage to be administered to a user.