Insulin Dosing Controller Using Filtered Glucose Aggregation
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Solution Overview
Problem
Manual calculation of insulin doses for diabetes management is prone to human error, leading to inaccuracies and safety issues, particularly among young children and elderly patients, and different institutions use conflicting protocols, complicating the process.
Innovation Solution
A system that includes data processing hardware for receiving and filtering blood glucose data, applying filters to identify usable measurements, aggregating data to determine a representative measurement, and calculating a next recommended insulin dosage, which is transmitted to a portable device for display and administration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual calculation of insulin doses is used, then flexibility in dosing protocols is maintained, but accuracy and consistency of dosing recommendations deteriorate due to human error
Solution Approach 1:
The patent replaces manual mechanical calculation methods with an automated computing system that processes blood glucose measurements and applies dosing algorithms. The system receives blood glucose data, applies filters to identify usable measurements, aggregates them to determine representative values, and calculates insulin dosing recommendations automatically, eliminating human calculation errors while maintaining protocol flexibility through programmable parameters.
2Measurement precision
If complex calculation protocols are implemented, then dosing accuracy can be improved, but ease of understanding and operation deteriorates for young children and elderly patients
Solution Approach 1:
The system enables patients to simply input or connect their blood glucose measurements without needing to understand the complex dosing calculations. The automated system performs all filtering, aggregation, and calculation operations automatically, requiring minimal user interaction and no mathematical knowledge from the patient, thus making the system accessible to young children and elderly patients.
Solution Approach 2:
The patent introduces an intermediary computing system that acts as a mediator between the patient's simple blood glucose input and the complex dosing algorithm. This intermediary handles all the computational complexity internally, presenting only simple input requirements to the patient and delivering clear dosing recommendations, thereby shielding the user from complex calculations.
3Measurement precision
If multiple blood glucose measurements are aggregated, then representativeness of dosing data is improved, but complexity of data processing increases
Solution Approach 1:
The patent segments the blood glucose data processing into distinct modular stages: receiving measurements with timestamps, filtering to identify usable measurements based on criteria, aggregating usable measurements to determine representative values, and calculating dosing recommendations. This segmentation organizes the complexity into manageable, sequential steps that can be implemented systematically.
Solution Approach 2:
The system performs preliminary filtering of blood glucose measurements to identify usable measurements before aggregation. By pre-processing the data to remove unusable measurements based on predetermined criteria, the system simplifies the subsequent aggregation step and ensures that only quality data contributes to the dosing calculation, reducing overall processing complexity.
Data Source
AI summary
A method of administering insulin includes receiving scheduled glucose time intervals and obtaining glucose data of a patient that includes glucose measurements, glucose times, and insulin dosages previously administered by the patient. The method also includes applying a set of filters to identify which of the glucose measurements associated with at least one of the scheduled time intervals are usable and which of the glucose measurements associated with the at least one scheduled time interval are unusable. The method also includes aggregating the glucose measurements associated with the at least one scheduled time interval identified as usable to determine a representative aggregate glucose measurement and determining a next recommended insulin dosage for the patient based on the representative aggregate glucose measurement and the insulin dosages previously administered by the patient.


