Infusion Pump Bolus Calculation Using Glucose Trends
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Solution Overview
Problem
Current infusion pump systems for delivering insulin or other medications do not accurately account for the user's blood glucose level changes and food intake data, leading to suboptimal dosing and potential glycemic control issues.
Innovation Solution
A medical infusion pump system that calculates a suggested bolus dosage based on blood glucose level, rate of change, food intake, and previously delivered insulin, using a controller device that integrates glucose monitoring data and user input to provide a precise insulin delivery recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the infusion pump system uses basic blood glucose level data for dosing calculations, then the dosing process is simple and quick, but the dosing accuracy is insufficient and does not account for glucose trends
Solution Approach 1:
The system performs preliminary calculations of the rate of change in blood glucose levels continuously in the background, so that when a dosing decision is needed, this pre-computed data is already available to inform the dosing algorithm, eliminating the need for complex real-time calculations during the dosing moment itself
Solution Approach 2:
The system implements feedback by continuously monitoring blood glucose levels and calculating the rate of change, then using this feedback information to adjust and refine dosing recommendations, creating a closed-loop system that improves dosing accuracy over time
2Measurement precision
If the system collects and processes multiple variables including food intake and glucose trends, then the personalization and accuracy of dosing improves, but the time required for dosing decisions increases
Solution Approach 1:
The system pre-processes and stores food intake data, blood glucose measurements, and calculated rate-of-change metrics in advance, so that when a user needs a dosing recommendation, all necessary data is already organized and ready for rapid analysis
Solution Approach 2:
The system automatically collects, stores, and preliminary-analyzes all relevant data (food intake, glucose levels, rate of change) without requiring user intervention during the dosing decision process, enabling rapid dosing recommendations while maintaining high precision
Data Source
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AI summary
Some embodiments an infusion pump system can provide a suggested bolus dosage based on particular parameters (e.g., the user's recent blood glucose characteristics, food intake data, an amount of insulin already delivered to the user which has not yet acted on the user, or other factors). In some circumstances, the infusion pump system can receive information indicative of the user's blood glucose level and suggest an insulin bolus dosage that is at least partially dependent upon the recent rate of change in the user's blood glucose level. Such a feature can be helpful to a user when the infusion pump is operated in conjunction with a glucose monitoring device because the suggested bolus dosage can be at least partially based on recent data indicative of the user's blood glucose level.