Patch Pump Alarm Prioritization and Clutch Priming Continuity
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Solution Overview
Problem
Existing insulin pumps face issues such as speaker failures leading to halted insulin delivery, lack of adaptive meal dose adjustments based on post-prandial glucose excursions, and reliance on complex priming mechanisms that disrupt fluid delivery, particularly in patch pumps.
Innovation Solution
The development of enhanced patch pumps with integrated adaptive learning algorithms and clutch mechanisms that allow for seamless insulin delivery, automatic meal detection, and simplified priming processes, ensuring continuous insulin delivery even during speaker failures and enabling efficient meal dose adjustments based on glucose monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speaker failure monitoring is implemented in insulin pumps, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system implements feedback monitoring where the control system continuously checks speaker functionality and automatically detects failures. When a speaker failure is detected, the system provides visual alerts through display icons and prevents insulin delivery until the issue is resolved, ensuring reliability without requiring complex manual monitoring procedures
Solution Approach 2:
The pump performs self-diagnosis of speaker functionality through automated testing routines. The system independently monitors its own operational status and triggers appropriate alerts or delivery suspensions without requiring external intervention, maintaining simplicity while ensuring reliable operation
2Manufacturing precision
If adaptive meal dose algorithms are added to patch pumps, then insulin delivery precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical priming mechanisms with a simplified clutch-based system. The clutch mechanism allows the pump to switch between different drive modes (priming vs. normal delivery) without requiring complex mechanical reconfiguration, reducing mechanical complexity while maintaining dosing precision through algorithmic control
Solution Approach 2:
The system dynamically adjusts delivery parameters based on real-time glucose data and meal announcements. The algorithm modifies insulin delivery rates and timing based on detected glucose excursions, achieving precise dosing through parameter optimization rather than complex mechanical adjustments
3Reliability
If clutch mechanisms are implemented for seamless delivery, then insulin delivery continuity is improved, but device complexity increases
Solution Approach 1:
The drive system is segmented into distinct operational modes (priming mode and normal delivery mode) controlled by the clutch mechanism. This segmentation allows each mode to be optimized independently while maintaining overall system simplicity, enabling seamless transitions without requiring a completely complex mechanical design
Solution Approach 2:
The clutch acts as an intermediary element between the drive motor and the pump mechanism. It mediates the transition between different operational states, allowing seamless switching between priming and delivery modes while keeping the overall mechanical system relatively simple through a single key component
4Ease of operation
If simplified priming processes are used, then ease of operation is improved, but manufacturing precision may worsen
Solution Approach 1:
The pump performs self-priming through automated clutch control. The system automatically manages the priming process without requiring complex manual intervention from the user, maintaining ease of operation while ensuring accurate fluid delivery through controlled mechanical engagement and electronic monitoring
Data Source
AI summary
The iLet BIONIC PANCREAS system improves alarm annunciation and prioritization with the enumeration of conditional improvements for pairing of, for example, the iLet APP & iLet BIONIC PANCREAS (along with patch pumps in half-of a dozen embodiments) respecting silence conditions for alarms; learning glucagon response; real time mirrored display, data sharing; pairing processes; confidence reminders; widgets; and iLet APP control features for bolusing meal announcements; user providing input and changes mind; and ILet APP therapy Restore.