Insulin Dosage Adjustment System for Glycemic Balance
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Solution Overview
Problem
Current diabetes management systems fail to provide frequent and effective insulin dosage regimen adjustments, leading to sub-optimal glycemic control due to the infrequency of healthcare professional visits and the inefficiency of conventional glucose monitoring and insulin delivery methods.
Innovation Solution
A system that uses a processor to store and analyze blood glucose level measurements, determining variations in the insulin dosage regimen to achieve a desired balance point that minimizes hypoglycemic events while maintaining optimal glycemic control, by tagging measurements with identifiers and incrementing a timer for data-driven adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional glucose monitoring and insulin delivery methods are used, then device complexity is reduced, but glycemic control quality deteriorates due to infrequent adjustments
Solution Approach 1:
The system enables self-adjustment of insulin dosage by automatically analyzing blood glucose measurements and generating modified dosage recommendations. The processor compares actual glucose levels against target ranges and autonomously determines dosage modifications, eliminating the need for frequent manual visits to healthcare professionals while maintaining effective glycemic control.
Solution Approach 2:
The system implements continuous feedback loops by monitoring blood glucose levels, comparing them against target ranges, and automatically adjusting insulin dosage recommendations. This closed-loop control ensures that dosage modifications are based on real-time glucose data, improving glycemic control quality without requiring frequent manual intervention.
2Reliability
If frequent healthcare professional visits are conducted to adjust insulin dosage, then glycemic control quality improves, but loss of time increases
Solution Approach 1:
The system performs self-adjustment of insulin dosage by automatically analyzing blood glucose measurements and generating modified dosage recommendations. This eliminates the need for frequent manual visits to healthcare professionals, significantly reducing the time required for dosage adjustments while maintaining effective glycemic control.
Solution Approach 2:
The system performs preliminary analysis of blood glucose data and generates dosage recommendations in advance, allowing patients to proactively adjust their insulin therapy before glucose levels become problematic. This anticipatory approach eliminates the need for reactive adjustments during clinic visits.
3Reliability
If insulin dosage is increased to improve glycemic control, then blood glucose levels improve, but frequency of hypoglycemic events increases
Solution Approach 1:
The system dynamically adjusts insulin dosage by continuously monitoring blood glucose levels and modifying recommendations in real-time. Rather than using fixed dosage schedules, the system adapts dosage to actual glucose conditions, increasing insulin when glucose is high and reducing or suspending it when glucose approaches target ranges, thereby preventing hypoglycemia while maintaining effective control.
Solution Approach 2:
The system changes dosage parameters based on actual blood glucose measurements, comparing them against target ranges and adjusting insulin recommendations accordingly. This parameter-based adjustment ensures that dosage modifications are data-driven and context-specific, improving glycemic control while minimizing the risk of hypoglycemia.
Data Source
AI summary
Systems, methods and/or devices for optimizing a patient's insulin dosage regimen over time, comprising at least a first memory for storing data inputs corresponding at least to one or more components in a patient's present insulin dosage regimen, and data inputs corresponding at least to the patient's blood-glucose-level measurements determined at a plurality of times, and a processor operatively connected to the at least first memory. The processor is programmed at least to determine from the data inputs corresponding to the patient's blood-glucose-level measurements determined at a plurality of times whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen. Also disclosed are systems, methods and/or devices for treating a patient's diabetes by providing treatment guidance, wherein the patient's current glycemic state is determined relative to a desired balance point; and determining from at least one of a plurality of the data corresponding to the patient's blood glucose-level measurements whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen to get closer to the patient's desired balance point; wherein the desired balance point is the patient's lowest blood glucose-level within a predetermined range achievable before increasing the frequency of hypoglycemic events above a predetermined threshold.