Continuous Glucose Monitoring Reliability Gating for Insulin Advice

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Solution Overview

Problem

Conventional continuous glucose monitoring systems fail to provide timely and reliable decision support recommendations due to the lack of integration with external data and inconsistent user input, leading to inadequate insulin therapy decisions and increased risk of hypoglycemic or hyperglycemic conditions.

Innovation Solution

A method for determining decision support recommendations by assigning reliability levels to input data, including glucose concentration and external factors like food intake and user activity, and presenting recommendations only if the reliability exceeds a threshold, ensuring accurate and safe therapeutic interventions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If decision support recommendations are provided based on integrated data from multiple sources, then the reliability of recommendations is improved, but the complexity of data processing and validation increases

Engineering Contradiction:

Improvereliability of decision support recommendationsVSAvoidcomplexity of data processing system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the data processing system into distinct modules: a reliability assessment module that evaluates individual data points, a data integration module that combines validated data, and a recommendation generation module that produces therapeutic suggestions. This segmentation allows complex multi-source data processing to be managed through systematic, modular reliability assessment at each stage.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary reliability assessment mechanism that acts as a mediator between raw data from multiple sources and the final decision support recommendations. This intermediary layer validates and weights data from different sources (continuous glucose monitor, finger-stick measurements, user inputs) before integration, ensuring that only reliable data influences recommendations while managing processing complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If multiple data sources are integrated for decision support, then the accuracy of insulin therapy decisions is improved, but the time required for data validation increases

Engineering Contradiction:

Improveaccuracy of insulin therapy decisionsVSAvoidtime required for data validation

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements preliminary reliability assessment of data sources before full integration. The system pre-evaluates and weights data sources based on their inherent reliability (e.g., continuous glucose monitor data is pre-assessed as more reliable than user inputs), allowing rapid validation during actual decision-making without sacrificing accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent dynamically adjusts validation thresholds and weighting parameters based on the current therapeutic context and glucose levels. During critical periods (e.g., rapid glucose changes), the system modifies parameter sensitivity to balance validation thoroughness with response time, ensuring accurate decisions while adapting to time constraints.

Inventive Principle:

Principle #35Parameter changes

3Object-affected harmful factors

If reliability thresholds are set high for recommendation presentation, then patient safety is improved, but the frequency of useful recommendations decreases

Engineering Contradiction:

Improvepatient safetyVSAvoidfrequency of useful recommendations

Core Design Contradiction:

Object-affected harmful factorsVSProductivity

Solution Approach 1:

The patent implements dynamic threshold adjustment where the reliability threshold for presenting recommendations is not fixed but adapts based on clinical context. During periods of stable glucose levels, higher thresholds ensure safety, while during rapid changes or when multiple reliable sources converge, the system temporarily adjusts thresholds to provide timely recommendations, balancing safety with productivity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies different reliability thresholds to different types of recommendations and different data sources based on their specific characteristics. Critical recommendations (e.g., immediate insulin adjustments) require higher local quality standards, while informational recommendations can use lower thresholds, allowing the system to maintain high safety standards for critical decisions while providing more frequent useful guidance overall.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12426809B2Safety tools for decision support recommendations made to users of continuous glucose monitoring systems

Publication Date: 2025.09.30 DEXCOM INC

AI summary

Systems and method are described for determining if a decision support recommendation is to be presented to a user for treatment of a diabetic state, including receiving a plurality of input data items impacting a diabetic state of a user of continuous glucose monitor, the input data items serving as input data to a process for determining a decision support recommendation; assigning a reliability level to each of the input data items; calculating a reliability metric based on the reliability levels assigned to each of the input data items; determining a decision support recommendation based on the process and the input data and presenting the decision support recommendation to the user on a user interface only if the reliability metric exceeds a threshold.