Insulin Pump Dosing Adjustment After Cannula Change
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Solution Overview
Problem
Current automated insulin delivery systems face challenges in adjusting insulin dosing protocols when switching between extended-wear in-dwelling catheters, leading to potential over-delivery of insulin at new insertion sites, which can cause hypoglycemic excursions.
Innovation Solution
A method and system that modify the dosing protocol based on a cannula change indicator, utilizing neural network calculations and historical error data to adjust insulin delivery, including lowering initial insulin doses and dynamically changing glucose thresholds, to prevent over-delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the dosing algorithm delivers the higher amount of insulin that was delivered just prior to removal of the first catheter, then the algorithm compensates for decreased insulin sensitivity at extended-wear sites, but the new site receives too much insulin causing hypoglycemic excursion
Solution Approach 1:
The system performs preliminary action by detecting the cannula change indicator and proactively lowering the initial insulin dose before the hypoglycemic excursion can occur. The dosing protocol is modified in advance to account for the new insertion site's higher insulin sensitivity, preventing the harmful effect before it manifests.
Solution Approach 2:
The system uses feedback by monitoring the cannula change indicator (such as pump rewind, reservoir change, or user input) and automatically adjusting the dosing protocol based on historical error data and neural network calculations. This closed-loop feedback mechanism ensures the dosing algorithm adapts to the new insertion site conditions.
2Duration of action of stationary object
If extended-wear in-dwelling catheters are used for greater than 3 days, then the infusion set provides sustained insulin delivery, but insulin sensitivity at the insertion site decreases requiring higher insulin amounts
Solution Approach 1:
The system applies dynamics by making the dosing protocol adaptive and dynamic rather than static. The algorithm continuously monitors insulin sensitivity changes over time and automatically adjusts the insulin delivery rate to compensate for the decreasing sensitivity at extended-wear sites, maintaining reliable glucose control throughout the catheter's wear duration.
Solution Approach 2:
The system changes parameters by dynamically modifying dosing protocol parameters (insulin sensitivity factor, basal rate, bolus calculations) based on the catheter wear time and observed glucose responses. This allows the system to adapt to the changing physiological conditions at the insertion site over extended periods.
3Reliability
If the dosing protocol is modified using neural network calculations and historical error data, then the initial insulin dose is lowered to prevent over-delivery, but the system complexity increases
Solution Approach 1:
The system applies self-service by automatically modifying the dosing protocol using built-in neural network calculations and historical error data without requiring external intervention. The system serves itself by detecting cannula changes and autonomously adjusting dosing parameters, reducing the need for manual programming or complex external control systems.
Data Source
AI summary
Embodiments of systems and methods for delivering a medicament using a pump are provided. The methods comprise inserting a first cannula into subcutaneous tissue. Medicament is delivered from a medicament pump through the first cannula according to a dosing protocol. The first cannula can removed after a period of time and a second cannula can be inserted. The method comprises modifying the dosing protocol based upon a cannula change indicator, the modifying comprising performing neural network calculations utilizing previously calculated error data, resulting in a modified dosing protocol. Medicament is delivered from the medicament pump through the second cannula according to the modified dosing protocol.