Bolus Dose Configuration Using Continuous Glucose Feedback
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Solution Overview
Problem
Existing systems for managing insulin bolus doses in diabetes patients are inadequate in accurately determining and delivering precise bolus doses based on individual patient needs and real-time glucose monitoring, leading to potential hyperglycemic or hypoglycemic events.
Innovation Solution
A system and method that utilizes a continuous glucose sensor to determine a bolus dose by receiving glucose concentration data, processing it with a processor to generate a set of configuration parameters, and displaying the dose on a user interface, optionally adjusting based on previous bolus determination techniques and meal data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a continuous glucose sensor and automated calculation system are used to determine bolus doses, then the precision of insulin delivery is improved, but the device complexity increases
Solution Approach 1:
The system performs automated bolus dose calculations using the continuous glucose sensor data and stored patient parameters. The processor automatically determines the appropriate bolus dose without requiring manual calculation by the user, thereby improving precision while the automation manages the complexity internally.
Solution Approach 2:
The continuous glucose sensor acts as an intermediary between the patient's physiological state and the insulin delivery decision. It provides real-time glucose concentration data that the processor uses to calculate the bolus dose, bridging the gap between physiological monitoring and therapeutic intervention with high precision.
2Adaptability or versatility
If multiple bolus configuration parameters are collected and processed, then the adaptability to individual patient needs is improved, but the ease of operation deteriorates
Solution Approach 1:
The system stores bolus configuration parameters (such as insulin sensitivity factors, carbohydrate ratios, and target glucose ranges) in advance during system setup or calibration. These pre-configured parameters are then automatically retrieved and applied during bolus dose calculations, enabling patient-specific customization without requiring the user to manually input multiple parameters at the time of dosing.
3Reliability
If real-time glucose concentration monitoring is implemented, then the reliability of bolus dose determination is improved, but the loss of time for data processing increases
Solution Approach 1:
The continuous glucose sensor provides uninterrupted real-time glucose concentration data, allowing the processor to continuously monitor glucose levels and immediately calculate bolus doses when needed. This continuous monitoring ensures that the most current glucose information is used for dosing decisions, improving reliability without significant time loss due to the continuous nature of data acquisition.
Solution Approach 2:
The system uses real-time glucose concentration feedback from the continuous sensor to dynamically adjust bolus dose calculations. The processor continuously receives glucose data, compares it against target ranges and patient-specific parameters, and generates appropriate dosing recommendations, creating a closed-loop system that improves accuracy through immediate feedback while maintaining rapid response times.
Data Source
AI summary
Various examples are directed to systems and methods for generating a bolus dose for a host. A bolus application may display a first bolus configuration parameter question at a user interface and receive, through the user interface, a first answer to the first bolus configuration parameter question. The first answer may describe a previous bolus determination technique of the host. The bolus application may select a second bolus configuration parameter question using the first answer and provide the second bolus configuration parameter question at the user interface. The bolus application may determine a set of at least one bolus configuration parameter using the first answer and a second answer to the second bolus configuration parameter question.


