CGM Decision Support Reliability Gating for Insulin Recommendations

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional methods for monitoring blood glucose levels in diabetes patients are inadequate, providing infrequent readings that often fail to detect dangerous conditions in time, leading to uninformed insulin therapy decisions and potential health risks.

Innovation Solution

A method for determining decision support recommendations in continuous glucose monitoring systems that include identifying the current diabetic state, using a combination of a reliability assessment process for determining a decision support recommendation based on a combination of a reliability assessment process for determining a decision support recommendation, which involves identifying the current diabetic state, receiving additional data, assigning a reliability level to the data, and presenting the recommendation only if the reliability exceeds a threshold.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If decision support recommendations are presented based on additional data from multiple sources, then the comprehensiveness of decision-making is improved, but the reliability of the recommendation may deteriorate due to potential inaccuracies or biases in the additional data

Engineering Contradiction:

Improvecomprehensiveness of decision-makingVSAvoidreliability of recommendation

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system changes the parameter of data reliability assessment by introducing a reliability threshold and confidence level evaluation mechanism. Before presenting a decision support recommendation, the system assesses the reliability of additional data against predefined thresholds and only presents recommendations when confidence levels are sufficient, thus resolving the contradiction between comprehensive decision-making and recommendation reliability

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements feedback by continuously monitoring the reliability of additional data sources and adjusting its behavior accordingly. When reliability falls below the threshold, the system withholds recommendations rather than presenting potentially inaccurate information, creating a feedback loop that maintains recommendation reliability while still striving for comprehensive decision support

Inventive Principle:

Principle #23Feedback

2Speed

If decision support recommendations are presented frequently to improve timely decision-making, then the responsiveness to diabetic state changes is improved, but the risk of presenting inaccurate or unreliable recommendations increases

Engineering Contradiction:

Improveresponsiveness to diabetic state changesVSAvoidrisk of presenting inaccurate recommendations

Core Design Contradiction:

SpeedVSObject-affected harmful factors

Solution Approach 1:

The system uses feedback mechanisms to evaluate the reliability of additional data before presenting recommendations. The reliability assessment acts as a gatekeeping feedback loop that allows timely recommendations only when data reliability thresholds are met, preventing premature or inaccurate recommendations from compromising patient safety

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system applies beforehand cushioning by establishing reliability thresholds and confidence level requirements in advance. These pre-set criteria act as a protective buffer that prevents unreliable recommendations from reaching the user, cushioning against the potential harm of inaccurate advice while maintaining responsive decision support when conditions are favorable

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

3Measurement precision

If the system uses multiple additional data sources to improve decision accuracy, then the quality of decision support is improved, but the complexity of data evaluation and reliability assessment increases

Engineering Contradiction:

Improvequality of decision supportVSAvoidcomplexity of data evaluation

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies segmentation by dividing the complex reliability assessment into separate, manageable components. Each additional data source is evaluated independently against specific reliability criteria, and the assessment process is modularized into distinct steps (data collection, reliability evaluation, threshold comparison, recommendation presentation), reducing the cognitive load and system complexity while maintaining high decision support quality

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260000323A1Safety tools for decision support recommendations made to users of continuous glucose monitoring systems

Publication Date: 2026.01.01 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.