Medication Delivery System Using Meal Transaction Data
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Solution Overview
Problem
Current medical therapy delivery systems, such as insulin infusion devices, struggle to accurately calculate and administer meal boluses based on user meal announcements, often leading to inadequate management of blood glucose levels.
Innovation Solution
A system that integrates data from a meal transaction application to obtain meal-related information, identify consumed items, retrieve nutritional data, and determine medication dosages and timing, ensuring accurate glucose management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If user-initiated meal announcements with estimated carbohydrate amounts are used, then the system can calculate and deliver insulin boluses, but the accuracy of blood glucose management deteriorates due to unreliable user estimations
Solution Approach 1:
The patent introduces a meal detection system as an intermediary between the user and the insulin pump. This system uses sensors (accelerometer, gyroscope, microphone) to objectively detect meal consumption events and automatically communicate with the insulin pump, eliminating the need for manual user input and providing accurate meal data for insulin dosing calculations
Solution Approach 2:
The meal detection system performs self-service by automatically detecting meal events through sensor data analysis without requiring user intervention. The system autonomously identifies eating patterns, determines meal timing and duration, and triggers appropriate insulin bolus calculations based on detected meal characteristics
2Reliability
If continuous glucose sensor data and control algorithms are used to regulate blood glucose, then automatic insulin delivery is achieved, but the system complexity increases
Solution Approach 1:
The patent divides the complex glucose control system into separate functional modules: a meal detection module using sensors, a data processing module that analyzes sensor signals, and an insulin delivery module. This segmentation allows each component to be optimized independently and simplifies the overall system architecture while maintaining reliable glucose regulation
3Ease of operation
If manual meal announcements are required for insulin dosing, then the system remains simple to operate, but productivity in glucose management decreases due to user burden
Solution Approach 1:
The meal detection system enables self-service operation where the system automatically detects and processes meal events without requiring user action. Users simply wear the device and go about their normal activities while the system autonomously monitors for eating patterns and manages insulin delivery, dramatically improving glucose management efficiency while maintaining ease of use
Data Source
AI summary
The subject matter of this disclosure generally relates to a medical device system and related methodologies that leverage data associated with the use of a meal transaction application, such as an application for ordering food delivery. Data generated by the meal transaction application can be leveraged by a patient care system or application for purposes of diet or calorie logging. Alternatively or additionally, the meal transaction data can be leveraged for purposes of controlling the administration of therapy by a medication delivery system, such as an insulin infusion pump.