Proactive Alert System for Insulin Infusion Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current insulin infusion devices lack proactive notification features to assist diabetic patients in managing glucose levels, relying on educated estimates for bolus calculations and basal profiles, which can lead to inadequate control of hyperglycemic and hypoglycemic states.
Innovation Solution
An insulin therapy management system that includes analyte monitoring and insulin delivery devices capable of real-time glucose level monitoring, data analysis, and proactive notification systems to prompt patients for capillary blood glucose testing, snack consumption, and other diabetes management alerts, thereby improving glucose control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proactive notification features are added to insulin infusion devices, then patient glucose control is improved, but device complexity increases
Solution Approach 1:
The patent combines the analyte monitoring device and insulin delivery device into an integrated system where data from the monitoring device is automatically transmitted to the delivery device. This merging allows the system to provide proactive notifications and improve glucose control while distributing complexity across multiple integrated components rather than adding standalone features to a single device.
Solution Approach 2:
The patent introduces a data processing and communication intermediary that receives data from the analyte monitoring device, processes it according to programmed parameters, and generates notifications. This intermediary layer handles the complexity of data analysis and notification logic, allowing the core insulin delivery function to remain relatively simple while still providing advanced glucose management capabilities.
2Reliability
If real-time data analysis and proactive notifications are implemented, then diabetes management effectiveness is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by pre-programming alert parameters, threshold values, and notification preferences before data collection begins. The analyte monitoring device continuously collects data and compares it against pre-set criteria, generating notifications automatically when conditions are met. This eliminates the need for real-time complex analysis and reduces data processing time while maintaining effective diabetes management.
Solution Approach 2:
The patent implements a feedback loop where glucose data is continuously monitored, compared against target ranges, and notifications are generated based on deviations. The system provides immediate feedback to the patient through alerts and notifications, enabling timely adjustments to insulin therapy. This continuous feedback mechanism improves management effectiveness without requiring extensive manual data processing.
3Ease of operation
If multiple notification types and data analysis features are added, then patient assistance is improved, but ease of operation decreases
Solution Approach 1:
The system employs self-service principles by automatically collecting analyte data, processing it according to pre-programmed parameters, and generating appropriate notifications without requiring patient intervention. The device autonomously manages data collection, analysis, and notification delivery, providing comprehensive patient assistance while maintaining a simple user interface. Patients simply receive notifications based on their glucose levels without needing to manually analyze data or configure complex parameters.
Data Source
AI summary
Method and system for providing diabetes management is provided.