Glucose-Guided Medication Titration With Automated Dose Recommendations

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Solution Overview

Problem

Patients with diabetes face challenges in determining proper medication doses to maintain glucose levels within a target range, which is time-consuming and burdensome, and healthcare professionals lack the time and specialized training to interpret continuous glucose monitoring data for effective dose adjustments.

Innovation Solution

A method for titrating medication doses using a processor to analyze glucose data, detect fasting periods, adjust schedules, and recommend dose changes based on glucose patterns and event counting analyses, with features like glucose pattern analysis, event counting, and hypoglycemic risk assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If patients manually monitor glucose levels and determine medication doses, then glucose level control can be maintained, but the process becomes time-consuming and burdensome

Engineering Contradiction:

Improveglucose level controlVSAvoidtime for dose determination

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically analyzing glucose data and calculating medication doses without requiring patient intervention. The processor continuously monitors glucose levels, detects patterns, and determines dosing recommendations autonomously, freeing the patient from manual dose calculation while maintaining reliable glucose control

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of dose determination with an automated computational system. The processor substitutes the patient's manual analysis of glucose data with algorithmic pattern recognition and dose calculation, eliminating the time-consuming manual workflow while preserving therapeutic effectiveness

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If patients carefully monitor glucose levels and administer medication to maintain target range, then hypoglycemia can be avoided, but the process is challenging and requires specialized interpretation

Engineering Contradiction:

Improveavoidance of hypoglycemiaVSAvoidinterpretation of analyte data

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system introduces an intermediary processor that acts as a bridge between glucose monitoring and dose administration. This intermediary automatically interprets complex glucose patterns, applies clinical decision logic, and translates raw analyte data into actionable dosing recommendations, reducing the difficulty of data interpretation while maintaining hypoglycemia avoidance

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements continuous feedback by monitoring glucose levels in real-time and automatically adjusting dose recommendations based on detected patterns. The processor analyzes trending data, identifies hypoglycemic risks, and provides dynamic dosing guidance that adapts to changing glucose conditions, making the interpretation process more accessible while maintaining safety

Inventive Principle:

Principle #23Feedback

3Measurement precision

If healthcare professionals guide treatment using analyte data, then proper medication dosing can be determined, but professionals lack time and specialized training for effective dose adjustments

Engineering Contradiction:

Improvemedication dosing accuracyVSAvoidease of dose adjustment

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-service by automatically executing the dose adjustment function that would otherwise require healthcare professional intervention. The processor independently analyzes glucose patterns, applies dosing algorithms, and generates dosing recommendations without requiring professional time investment, while maintaining precise dosing accuracy through validated clinical logic

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the healthcare professional's manual dose adjustment process with an automated computational system. The processor substitutes the professional's specialized interpretation skills with algorithmic analysis that consistently applies clinical guidelines, maintaining dosing precision while eliminating the operational burden on healthcare providers

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If the system adjusts medication doses based on glucose patterns, then dosing accuracy improves, but the system complexity increases

Engineering Contradiction:

Improvedosing accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies segmentation by dividing the complex dosing decision process into distinct functional modules: glucose data acquisition, pattern detection algorithms, dose calculation logic, and recommendation output. This modular segmentation manages system complexity by organizing functions into separate processing stages while maintaining overall dosing accuracy through coordinated operation of each segment

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250308666A1Systems and methods for medication dosing and titration

Publication Date: 2025.10.02 ABBOTT DIABETES CARE INC

AI summary

Dose guidance systems and methods for titrating medication doses are described. The dose guidance system may receive glucose data from a continuous glucose monitor and may receive medication data related to medication administered by the user. The dose guidance system may initialize dose guidance parameters, recommend medication doses, titrate medication doses, and provide alerts based on the glucose data and medication data.