Autonomous Drug Delivery Algorithm Self-Configuration
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Solution Overview
Problem
Current wearable automatic insulin device (AID) systems require significant user input for initialization and maintenance, which can be tiresome and inefficient, especially for managing blood glucose levels during exercise, leading to suboptimal operation.
Innovation Solution
A method and system that automatically adjust insulin delivery algorithms by setting high and low analyte target values, modifying basal insulin amounts based on sensor analyte values, and readjusting setpoints to maintain euglycemic ranges without user-defined targets, utilizing a processor, memory, and sensor data for automated drug delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user enters basal profile and glucose control target during initialization, then the AID system can deliver insulin safely and maintain blood glucose within target range, but the user experience becomes tiresome and complex
Solution Approach 1:
The system automatically determines basal profile and glucose control targets without requiring user input. The algorithm self-configures by receiving sensor analyte values and automatically adjusting drug delivery parameters, allowing the system to serve itself rather than requiring continuous user configuration
Solution Approach 2:
The system continuously receives sensor analyte values and uses this feedback to automatically adjust the drug delivery algorithm. The feedback loop enables the system to maintain blood glucose within target range by dynamically modifying delivery parameters based on real-time physiological data
2Adaptability or versatility
If user manually adjusts basal profile for different time periods, then the system can adapt to varying daily routines, but the process becomes challenging and tiresome over time
Solution Approach 1:
The system dynamically adjusts basal profile parameters automatically based on received sensor analyte values rather than requiring static user configuration. The algorithm continuously modifies delivery parameters to adapt to the user's varying daily routines, making the system flexible without requiring user time investment
Solution Approach 2:
The algorithm automatically determines and adjusts basal profile settings without user intervention. The system serves itself by receiving sensor data and autonomously configuring time-dependent delivery parameters, eliminating the need for users to manually adjust settings for different time periods
3Reliability
If the system requires significant user input for initialization, then it can ensure safe operation and reduce hypoglycemia risk, but it reduces productivity and user convenience
Solution Approach 1:
The system automatically determines safe operating parameters and basal profiles without requiring user input. The algorithm receives sensor analyte values and self-configures the drug delivery parameters needed to reduce hypoglycemia risk, eliminating the time-consuming initialization process while maintaining safety
Solution Approach 2:
The system performs preliminary automatic configuration of delivery parameters based on initial sensor data before full operation begins. By pre-determining safe operating parameters automatically, the system prepares itself for safe operation without requiring user intervention during the initialization phase
Data Source
AI summary
Disclosed are techniques, processes, systems, and programming code that enables users of automatic drug delivery devices to initiate the automatic drug delivery device for an initial use phase as well as implement changes that control the adjustment of target setpoints by a medication delivery algorithm used in the control of the automatic drug delivery device. During the initial use phase, the automatic drug delivery device may be based on the user's glucose control outcome without performing time consuming and frequent settings of sensor values as well as allowing users to remain substantially within range of any target setpoints. In addition, the disclosed techniques, processes, systems, and programming code enable users to have initial dosage settings automatically set without having to input what were previously considered fundamental inputs.