Medication Dosage Modeling With Continuous Glucose Data
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Solution Overview
Problem
Existing treatment methods for glucose disorders often fail to provide optimized medication dosages due to reliance on infrequent patient visits and single glucose measurements, leading to non-tailored therapy.
Innovation Solution
A system and method that utilize data from a continuous glucose monitor to analyze glucose levels and determine optimized medication dosages by predicting glucose responses to various medication dosages, updating insulin sensitivity and peak insulin response based on real-time data, and integrating automated access to patient medical records for accurate therapy information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If infrequent patient visits and single glucose measurements are used, then device complexity is reduced, but manufacturing precision of treatment optimization is worsened
Solution Approach 1:
The system enables automated self-service by using continuous glucose monitor data to automatically calculate and recommend optimized medication dosages without requiring frequent physician visits. The algorithm processes glucose data and generates dosage recommendations autonomously, improving precision while reducing system complexity.
Solution Approach 2:
The patent replaces manual physician assessment with an automated computerized algorithm that processes continuous glucose data. This substitution of mechanical/manual processes with automated computational analysis enables precise dosage optimization without increasing system complexity for the patient.
2Measurement precision
If continuous glucose monitoring data is used, then measurement precision of glucose levels is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing glucose data in the background. The algorithm maintains ready-to-use glucose profiles and calculations, so when dosage recommendations are needed, the data is already processed and available immediately, reducing perceived processing time.
Solution Approach 2:
The continuous glucose monitor provides uninterrupted glucose data collection, and the system continuously processes this data in real-time. This continuous useful action ensures that dosage recommendations are always based on the most current glucose levels without requiring batch processing or interrupting patient care.
3Reliability
If automated access to medical records is implemented, then reliability of therapy information is improved, but device complexity increases
Solution Approach 1:
The system uses an intermediary approach by integrating with existing electronic health record systems through standardized interfaces. The continuous glucose monitor system acts as an intermediary that automatically retrieves and processes therapy information from medical records, improving reliability without requiring complex custom integration for each facility.
Data Source
AI summary
Systems and methods of optimizing glucose medication dosages are based on modeling a patient's glucose lowering response using historical glucose data. The model is actively updated to account for changes in the patient's medication treatments and physiological conditions based on real-time or near real-time glucose measurements from the patient. The system can analyze various dosages of insulin based on the patient's current therapy and the model to determine an optimized dosage. Also disclosed is a system and method for retrieving a patient's current medication therapies from medical records using an automated system. Also disclosed are methods of implementing remotely-updatable limitations for medication optimization algorithms.