Dynamic Glucose Display for Insulin Therapy Management
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Solution Overview
Problem
Current analyte monitoring and infusion systems for diabetes management face challenges in efficiently processing and adapting to real-time glucose data, leading to suboptimal insulin therapy adjustments and increased complexity in user interface management.
Innovation Solution
A system that integrates real-time analyte monitoring with fluid delivery devices, allowing for continuous glucose tracking, dynamic therapy profile adjustments, and user-friendly interface modifications to optimize insulin dosing based on monitored glucose levels and user inputs, using a combination of sensors, processors, and wireless communication for data processing and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time glucose monitoring and dynamic therapy profile adjustments are implemented, then insulin therapy management is improved and glycemic control is enhanced, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex diabetes management functionality into distinct modules: glucose monitoring module, therapy profile management module, data processing module, and user interface module. This segmentation allows each module to handle specific tasks independently, improving overall system reliability while making the complexity more manageable and maintainable.
Solution Approach 2:
A processor acts as an intermediary between the glucose sensor and the user interface, mediating the complex data processing and therapy adjustment calculations. This intermediary handles the computational complexity internally while presenting simplified information and controls to the user, resolving the contradiction between advanced functionality and ease of use.
2Productivity
If continuous glucose tracking and real-time data processing are implemented, then therapy adjustments are optimized, but loss of time for data processing and system response increases
Solution Approach 1:
The system performs preliminary processing of glucose data as it is collected, pre-calculating trend information and preparing therapy adjustment recommendations in advance. This preliminary action reduces the processing time required when actual therapy decisions need to be made, improving productivity without sacrificing real-time responsiveness.
Solution Approach 2:
The glucose monitoring and data processing operate continuously without interruption, maintaining a constant flow of information from sensor to therapy adjustment. This continuous operation eliminates gaps in data collection and processing, ensuring that therapy adjustments are based on the most current glucose levels while maintaining efficient system response.
3Ease of operation
If more comprehensive glucose and therapy data are collected and displayed, then user understanding and control are improved, but device complexity and interface management increase
Solution Approach 1:
The user interface presents different levels of information detail tailored to specific user needs and contexts. Critical glucose levels and urgent therapy adjustments are displayed with high prominence and detail, while historical data and less critical information are presented in condensed formats. This local quality approach ensures comprehensive information availability while maintaining interface simplicity through selective detail presentation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances insulin therapy management by providing real-time adjustments to basal profiles and bolus dosing, reducing hypoglycemic events and improving glycemic control through accurate and personalized insulin delivery based on continuous glucose monitoring.
Implementation Method 1
The sensor cell may use a two or three-electrode (work, reference and counter electrodes) configuration driven by a controlled potential (potentiostat) analog circuit
Data Source
AI summary
Method and system including displaying a first representation of a medication treatment parameter profile, displaying a first representation of a physiological profile associated with the medication treatment parameter profile, detecting a modification to a segment of the medication treatment parameter profile, displaying a modified representation of the medication treatment parameter profile and the physiological profile based on the detected modification to the segment of the medication treatment parameter profile, modifying an attribute of the first representation of the medication treatment parameter profile, and modifying an attribute of the first representation of the physiological profile are provided.


