Fractionated Insulin Dosing via Analyte Sensor Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Diabetic patients face challenges in maintaining stable blood glucose levels due to the difficulty in determining optimal insulin dosages, often leading to risks of both hyperglycemia and hypoglycemia, as conventional methods rely on open-loop control models that fail to account for dynamic factors and physiological variations.
Innovation Solution
A computer-implemented method and processor-based system that uses in vivo analyte sensors to monitor glucose levels and rates of change, allowing for the administration of medication in single or fractionated doses, with predictive calculations to avoid hypoglycemic events by adjusting insulin dosages based on real-time data and safety margins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional open-loop control models are used to determine insulin dosages, then the dosing process is simple and easy to operate, but the accuracy of blood glucose level control deteriorates and hypoglycemic events occur more frequently
Solution Approach 1:
The patent implements closed-loop control by continuously monitoring blood glucose levels via analyte sensors and using this feedback to dynamically adjust insulin dosage calculations. The system processes real-time glucose data, rate of change information, and predictive algorithms to automatically modify medication dosing, thereby improving control accuracy while managing complexity through automated feedback mechanisms.
Solution Approach 2:
The system performs preliminary actions by calculating predictive glucose trends and safety margins before administering insulin. It anticipates future glucose levels based on current rate of change and historical data, pre-adjusting dosage parameters to prevent hypoglycemic events before they occur, thus improving accuracy proactively rather than reactively.
2Reliability
If a single medication dose is administered, then the administration process is simple and quick, but the safety and precision of blood glucose control deteriorate due to inability to respond to dynamic physiological variations
Solution Approach 1:
The patent segments the medication dose into multiple discrete administrations rather than a single bolus. The system divides the total required insulin dose into fractions that can be administered at different times, allowing the body to process each portion separately and respond to dynamic physiological changes between doses, thereby improving safety without excessive time loss.
Solution Approach 2:
The system transitions from static single-dose administration to dynamic multi-dose scheduling that adapts to real-time physiological conditions. The medication administration plan is continuously adjusted based on changing glucose levels, rate of change, and predictive algorithms, enabling the system to respond dynamically to individual patient needs while maintaining safety.
3Measurement precision
If medication dosage is calculated without considering rate of change of analyte level, then the calculation process is simple and fast, but the precision of dosage determination deteriorates leading to suboptimal blood glucose management
Solution Approach 1:
The system maintains continuous processing of analyte data, including ongoing calculation of rate of change parameters, to ensure dosage precision is always current and accurate. By continuously updating glucose trends and incorporating this real-time information into dosage calculations, the system achieves high precision without significant delays, as the useful action of data processing continues uninterrupted.
Data Source
AI summary
Methods, apparatuses, and systems are provided for determining whether to administer a medication dose as a single dose or whether to fractionate the single dose to be administered as at least two discrete doses. Embodiments include determining a first analyte level and a first rate of change of the analyte level; determining an initial medication dose based on one or more anticipated subsequent medication doses, the first analyte level relative to an analyte level threshold, and the first rate of change of the analyte level relative to a rate of change threshold; administering the initial medication dose; determining a second analyte level and a second rate of change of the analyte level based on subsequent analyte data; and determining a subsequent medication dose based on the second analyte level relative to the analyte level threshold and the second rate of change relative to the rate of change threshold.