Basal Insulin Delivery System with Personalized Infusion Patterns
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Solution Overview
Problem
Current insulin pumps rely on trial-and-error methods to determine basal insulin infusion patterns, which can lead to frequent hyperglycemic and hypoglycemic events, and may not adequately account for individual patient characteristics such as age, body-mass-index, and diurnal insulin sensitivity, potentially resulting in suboptimal glycemic control.
Innovation Solution
A system and method for delivering basal insulin using a device that selects a tailored basal infusion pattern based on personal characteristics like age, BMI, and bolus insulin requirements, allowing for continuous or periodic delivery through a portable insulin pump or skin-secure patch, which can monitor glucose levels and adjust the infusion pattern to achieve better glycemic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If trial-and-error methods are used to determine basal insulin infusion patterns, then the system can be simple to operate, but glycemic control precision deteriorates leading to frequent hyperglycemic and hypoglycemic events
Solution Approach 1:
The system automatically adjusts basal insulin infusion parameters (rates, timing, duration) based on real-time glucose sensor data and patient-specific characteristics. The controller dynamically modifies infusion parameters without requiring manual trial-and-error adjustment by the user, thereby improving glycemic control precision while maintaining ease of operation.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring glucose levels via sensor and automatically adjusting basal insulin infusion based on the measured glucose values. This feedback mechanism eliminates the need for manual trial-and-error methods, improving glycemic control precision while keeping the system simple for the user to operate.
2Device complexity
If generic basal infusion patterns are used, then the device complexity is reduced, but adaptability to individual patient characteristics deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-programming multiple basal infusion patterns with different characteristics (e.g., varying rates, timing, duration) before actual use. When a patient is treated, the controller automatically selects and adjusts the appropriate pre-programmed pattern based on the patient's specific characteristics and real-time glucose data, providing adaptability without requiring complex real-time calculations or user configuration.
3Measurement precision
If frequent glucose measurements and adjustment are implemented, then glycemic control precision is improved, but loss of time for adjustments increases
Solution Approach 1:
The system performs self-service by automatically monitoring glucose levels via integrated sensor and adjusting basal insulin infusion without requiring user intervention. The controller continuously processes sensor data and autonomously modifies infusion parameters, achieving frequent measurements and adjustments while eliminating the time loss associated with manual user actions for programming and adjustment.
Data Source
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AI summary
Dislosed is a system to deliver insulin to a user's body. The system include a dispensing unit to deliver the insulin to the body, and a control mechanism to control delivery of basal insulin according to a predetermined basal infusion pattern, the basal infusion pattern selected from a plurality of predetermined basal infusion patterns (102). In some embodiments, selection o the basal infusion pattern may be based on one or more personal characteristics of the user.