Glucose Trace Annotation for Interpreting Glycemic State Changes
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Solution Overview
Problem
Individuals with diabetes face challenges in consistently maintaining healthy blood glucose levels due to sporadic blood glucose measurements and difficulty in interpreting glucose traces, making it hard to implement lifestyle changes for better glycemic health.
Innovation Solution
A diabetes management platform that analyzes continuous glucose monitoring data to detect excursions, classify glycemic events, and provide annotations to facilitate therapeutic behavior changes, using computer-implemented techniques and visualizations to improve glycemic health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If continuous glucose monitoring data is collected and analyzed, then glycemic health state can be discovered and understood, but device complexity and data interpretation difficulty increase
Solution Approach 1:
The patent introduces an intermediary processing system that acts as a mediator between the continuous glucose monitor and the user. This system automatically analyzes glucose traces, detects excursions, classifies glycemic events, and generates actionable annotations, thereby simplifying the complex data for end-users while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The system performs self-service by automatically discovering and annotating glycemic events without requiring manual intervention. The automated classification and annotation features enable the system to serve itself in interpreting and presenting glycemic health information, reducing the burden on users to manually analyze complex glucose data.
2Ease of operation
If automated annotation and classification features are added, then ease of operation improves, but device complexity increases
Solution Approach 1:
The system automatically performs data interpretation through self-service mechanisms. The automated annotation engine classifies glycemic events and generates actionable insights without requiring user intervention, making the system easy to operate while the complexity is contained within the automated processing layer.
Solution Approach 2:
The system creates simplified copies or representations of complex glucose data through annotations and classifications. Instead of presenting raw glucose traces directly to users, the system generates annotated versions that copy the essential information in an easily interpretable format, improving ease of operation.
3Loss of information
If detailed glycemic event classification is implemented, then information quality improves, but processing time and complexity increase
Solution Approach 1:
The system performs preliminary classification and annotation of glycemic events as data is being collected, rather than analyzing all data at once. By proactively detecting and annotating excursions in real-time or near-real-time, the system maintains detailed information quality while reducing the time required for comprehensive analysis.
Solution Approach 2:
The patent segments the continuous glucose data into discrete glycemic events and annotations. By dividing the continuous data stream into manageable classified events, the system can process and analyze detailed information efficiently, reducing overall processing time while maintaining high information quality.
Data Source
AI summary
Introduced here are diabetes management platforms able to make annotations to physiological data of a subject whose glycemic health state is being monitored. These annotations can be used to classify excursions detected in the physiological data to facilitate the identification of a therapeutic behavior change intended to improve the glycemic health state of the subject. For example, a health coach may review the annotation(s) associated with the subject before generating a recommendation for improving the glycemic health state. As another example, the diabetes management platform can automatically identify an appropriate recommendation based on the annotation(s).