Glycemic Control System with Real-Time Insulin Dose Adjustment
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Solution Overview
Problem
Current methods for glycemic control in diabetes management, particularly with basal insulin or insulin glargine, often result in under-dosing, leading to suboptimal blood sugar regulation and long-term health issues due to the lack of precise titration techniques.
Innovation Solution
A medical device and system that includes data storage, blood glucose measurement, and processing capabilities to calculate and adjust insulin doses based on real-time glucose data, allowing for personalized and flexible glycemic control through customizable algorithms and security validation for safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If basal insulin or insulin glargine treatment is used with periodic blood glucose measurements, then glycemic control can be monitored, but under-dosing occurs leading to suboptimal blood sugar regulation
Solution Approach 1:
The system continuously monitors blood glucose levels and uses this feedback to automatically adjust insulin dosing. The processor receives blood glucose data from the sensor, compares it against target ranges, and modifies the insulin delivery rate accordingly, creating a closed-loop control system that eliminates under-dosing while maintaining reliable glycemic control
Solution Approach 2:
The system enables patients to manage their own glycemic control through automated monitoring and dosing adjustments. The portable device performs self-testing of blood glucose levels and automatically calculates required insulin doses without requiring external intervention, empowering patients to achieve optimal glycemic control independently
2Loss of information
If blood glucose values are monitored once or several times during the day, then information on treatment progress can be obtained, but the complexity of manual monitoring and titration increases
Solution Approach 1:
The system transitions from periodic discrete measurements to continuous real-time monitoring of blood glucose levels. The sensor continuously measures glucose concentration in interstitial fluid, providing an unbroken stream of data that captures the full dynamics of glycemic fluctuations throughout the day, eliminating information loss while simplifying the monitoring process
Solution Approach 2:
The portable device integrates multiple functions into a single unit: blood glucose sensing, data processing, insulin dosing calculation, and patient interface. This multi-functional integration reduces overall system complexity by consolidating what would otherwise require separate devices and manual procedures into one unified automated system
3Reliability
If the dose of basal insulin or insulin glargine is increased from initial dose to final dose over time, then glycemic control improves, but the time required for titration increases
Solution Approach 1:
The system performs preliminary calculations and predictions to determine the optimal insulin dose before actual administration. The processor analyzes current blood glucose levels, trends, and patient-specific parameters to pre-calculate the required dose adjustment, enabling immediate optimization without waiting for prolonged titration periods
Solution Approach 2:
The system dynamically adjusts insulin dosing in real-time based on current glycemic conditions rather than following fixed static titration schedules. The processor continuously modifies the insulin delivery rate according to real-time blood glucose measurements and predicted future levels, accelerating the achievement of optimal glycemic control while maintaining safety
4Ease of operation
If patients perform self-titration with support from third party services, then patient empowerment increases, but the risk of dosing errors and safety issues increases
Solution Approach 1:
The processor acts as an intelligent intermediary between the patient and insulin dosing. It receives raw blood glucose data from the sensor, applies validated algorithms and clinical guidelines, and outputs precise dosing recommendations. This intermediary layer eliminates dosing errors by removing manual calculation and interpretation steps while maintaining patient empowerment through automated decision support
Data Source
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AI summary
A medical device for providing information for glycemic control is provided, wherein the device comprises a storage unit arranged to store information on an initial dose of insulin and to store information on a blood glucose level measured after the initial dose of insulin was administered and after specific food was consumed, and a determining unit arranged to determine a subsequent dose of insulin to be administered before the specific food is consumed based at least on said information on the initial dose of insulin and said information on the blood glucose level.