CGM Dynamic Risk Alerts for Hypo and Hyperglycemia Prevention
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Solution Overview
Problem
Current CGM devices lack an alert generation system that effectively utilizes the concept of clinical risk associated with both glucose level and trend to provide preventive alerts for hypoglycemia and hyperglycemia, relying solely on static glucose level thresholds.
Innovation Solution
A system that employs a Dynamic Risk (DR) algorithm to estimate the clinical risk by combining current glucose level and trend, generating alerts through a sensorial alarm when the dynamic risk exceeds a predetermined threshold, using a color monitor with blinking/pulsing backlight and other sensory cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static glucose level thresholds are used for alerts, then the device complexity is low, but the measurement precision of clinical risk assessment is insufficient
Solution Approach 1:
The patent transitions from static glucose threshold alerts to dynamic risk estimation that continuously adapts based on glucose levels, trends, and user-specific factors. The Dynamic Risk (DR) algorithm dynamically adjusts alert thresholds and predictions according to individual patient characteristics and real-time glucose dynamics, resolving the contradiction by making the system adaptive rather than fixed.
Solution Approach 2:
The system performs preliminary risk assessment by analyzing glucose trends and predicting future glucose levels before actual hypoglycemic or hyperglycemic events occur. This allows the system to generate proactive alerts based on predicted clinical risk rather than waiting for static threshold crossings, improving measurement precision while maintaining manageable complexity through predictive analytics.
2Loss of time
If predictive alert system is implemented, then the loss of time for therapeutic response is reduced, but the device complexity increases
Solution Approach 1:
The system performs preliminary risk assessment by analyzing glucose trends and predicting future glucose levels before actual hypoglycemic or hyperglycemic events occur. This allows the system to generate proactive alerts based on predicted clinical risk rather than waiting for static threshold crossings, improving measurement precision while maintaining manageable complexity through predictive analytics.
Solution Approach 2:
The patent introduces an intermediary processing layer that translates complex glucose dynamics and multiple risk factors into a simplified Dynamic Risk score. This intermediary representation enables predictive functionality without requiring the end user to interpret complex algorithms, effectively mediating between sophisticated prediction capabilities and user-friendly operation.
3Reliability
If multiple risk factors are integrated into alert system, then the reliability of hypoglycemia and hyperglycemia detection is improved, but the ease of operation decreases
Solution Approach 1:
The patent introduces an intermediary processing layer that translates complex glucose dynamics and multiple risk factors into a simplified Dynamic Risk score. This intermediary representation enables predictive functionality without requiring the end user to interpret complex algorithms, effectively mediating between sophisticated prediction capabilities and user-friendly operation.
Solution Approach 2:
The system automatically integrates multiple risk factors and performs complex risk assessments without requiring user input or configuration. The Dynamic Risk algorithm self-adjusts based on individual patient characteristics and real-time data, eliminating the need for users to manually adjust parameters while maintaining high detection reliability.
Data Source
AI summary
A device for generating alerts for Hypo and Hyperglycemia Prevention from Continuous Glucose Monitoring (CGM) determines a dynamic risk based on both information of glucose level and a trend obtainable from a CGM signals. The device includes a display whose color depends on the DR (for example, red for high DR, green for low risk). When DR exceeds a certain threshold, alerts are generated to suggest the patient to pay attention to the current glucose reading and to its trend, both of which are shown on the display in numbers and symbols (e.g. an arrow with different slope or color).