Insulin Titration Data Management Unit Preventing Over-Titration
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Solution Overview
Problem
Current data management units for diabetes patients, particularly those using basal insulin or insulin glargine, face challenges in safely avoiding over-titration of medication doses, leading to suboptimal glycemic control and potential patient disengagement due to inadequate titration protocols.
Innovation Solution
A data management unit with a processor that switches between two modes based on blood glucose measurement values and applied dose history, using predefined calculation rules to suggest medicament dose adjustments, ensuring the dose does not exceed an upper limit and allowing for slight decreases, thereby preventing over-titration and maintaining optimal glycemic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full titration of medicament dose value is applied to reach target range, then glycemic control is improved, but risk of over-titration increases
Solution Approach 1:
The system dynamically switches between two operational modes based on current glycemic status. In first mode, full titration is permitted to aggressively correct hyperglycemia. In second mode, dose increases are restricted to prevent over-titration. This dynamic adaptation allows the system to optimize glycemic control while preventing harmful over-correction based on real-time conditions.
Solution Approach 2:
The system changes the calculation parameters for dose determination based on the operational mode. In first mode, the full titration calculation rule is applied to maximize dose adjustment for reaching target range. In second mode, a restricted titration calculation rule is applied that caps dose increases, thereby changing the parameter of dose adjustment magnitude to prevent over-titration while maintaining glycemic control.
2Reliability
If mode switching is implemented to prevent over-titration, then safety is improved, but device complexity increases
Solution Approach 1:
The control logic is segmented into two distinct operational modes with clearly defined entry and exit conditions. Each mode has its own calculation rules, making the overall complex system manageable through modular segmentation. The processor evaluates specific conditions (FBG values, dose change limits) to determine which mode to enter, creating discrete control states that simplify the management of complexity.
Solution Approach 2:
The system continuously monitors fasting blood glucose values and dose administration history to provide feedback on titration progress. This feedback mechanism automatically triggers mode transitions when predefined conditions are met, such as when FBG reaches target range or when dose increase limits are approached. The feedback loop manages complexity by using objective, rule-based decisions rather than requiring complex predictive algorithms.
Data Source
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AI summary
Titration of basal insulin with two modes based on fasting blood glucose. Although it seems that the titration of basal insulin and insulin glargine is simple for the patient (user) there is a risk for over-titration observed due to an occasional or short-term high blood glucose measurement value. Hence, the object of the present invention is to provide a data management unit, a medical device and a respective method which makes it safer for the user to avoid over-titration.