Glucose Variability Monitoring Using GVI and Clinical Alerts
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Solution Overview
Problem
Diabetic individuals often fail to timely detect hyperglycemic or hypoglycemic conditions due to the infrequent monitoring of blood glucose levels, leading to dangerous side effects, and existing continuous glucose monitoring devices provide raw or minimally processed data that do not effectively convey glycemic variability or alert users to potential issues.
Innovation Solution
A system and method for processing glucose sensor data to calculate a Glycemic Variability Index (GVI) and Patient Glycemic Status (PGS), generating alerts and reports, and applying statistical algorithms to convert glucose values to clinical relevance scores for improved user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If continuous glucose monitoring is implemented, then detection speed and monitoring frequency are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex glucose monitoring system into distinct functional modules: sensor component for data collection, processing component for analyzing glycemic variability, and display component for presenting information. This modular segmentation allows continuous monitoring capability while managing system complexity through divided responsibilities.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the raw sensor data and the user interface. This intermediary component calculates glycemic variability metrics and transforms raw glucose readings into meaningful clinical indicators, reducing the complexity burden on both the sensor and display components.
2Loss of information
If raw glucose data is provided to users, then information completeness is improved, but user comprehension and actionable insights deteriorate
Solution Approach 1:
The patent applies local quality by providing different types of information processing at different levels: raw complete data is preserved for reference, while processed summaries with glycemic variability metrics are provided for immediate user comprehension. This allows both information completeness and ease of operation to coexist at different interface layers.
Solution Approach 2:
The patent transforms the parameter representation of glucose data by calculating derived metrics such as glycemic variability coefficients and trend indicators. These parameter changes convert raw concentration values into clinically meaningful measures that are easier for users to interpret and act upon.
3Reliability
If glycemic variability analysis is added to continuous monitoring, then clinical relevance and diagnostic value are improved, but computational complexity and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-defining glycemic variability calculation algorithms and clinical thresholds within the device. These computational routines are prepared in advance, allowing the system to quickly apply established medical criteria to real-time glucose data without requiring complex on-the-fly computations.
Solution Approach 2:
The monitoring system performs self-service by automatically calculating glycemic variability metrics and comparing them against clinical guidelines. The device autonomously generates diagnostic insights from the collected data, reducing the need for external computational resources and simplifying the overall system architecture.
Data Source
AI summary
Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.