Insulin Pump Sensor Detects Delivery Failures
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Solution Overview
Problem
Insulin pump systems often experience malfunctions such as improper needle/cannula insertion, kinks, blockages, and skin complications, leading to adverse outcomes and hazardous consequences for diabetic patients, necessitating a system to detect and alert users of infusion site issues.
Innovation Solution
A sensor system that actively monitors pump performance and fluid delivery, using onboard sensors and machine learning algorithms to detect abnormalities, predict delivery failures, and provide real-time alerts through audio, visual, and text notifications, integrated into the pump or as a separate device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If insulin pumps are used for repeated needle/cannula insertions and chronic insulin exposure, then blood glucose levels can be managed effectively, but skin complications and device malfunctions occur
Solution Approach 1:
The system performs preliminary detection of infusion abnormalities by monitoring pressure changes before complete delivery failure occurs. The processor detects pressure deviations from expected ranges and alerts users proactively, preventing worse outcomes from undetected malfunctions.
Solution Approach 2:
The system implements continuous feedback monitoring of fluid delivery parameters through pressure sensors. The processor compares actual pressure readings against expected ranges and provides real-time alerts when abnormalities are detected, enabling users to respond to skin complications and device issues before they worsen.
2Reliability
If sensor systems are integrated into infusion sets to detect delivery failures, then safety is improved, but device complexity increases
Solution Approach 1:
The sensor system is merged with the existing infusion set and pump components. The pressure sensor integrates with the fluid delivery pathway, and the processor utilizes the pump's existing control architecture, combining multiple functions into unified components rather than adding separate independent systems.
Solution Approach 2:
The pressure sensor serves multiple functions: detecting occlusions, identifying leaks, monitoring delivery rates, and alerting users. The processor handles both normal pump control operations and abnormality detection, making the system multi-functional without requiring entirely separate dedicated components for each function.
Data Source
AI summary
A system and method are provided for monitoring characteristics of a fluid being delivered from a fluid medication delivery device to an infusion site associated with a user. Model creation and development comprises, for each of one or more associated fluid delivery operations, collecting data streams from various sensors, assigning a fluid delivery state to the fluid delivery operation, and determining fluid delivery characteristics based on waveforms representing the time series data streams, and generating retrievable models correlating determined fluid delivery characteristics with the assigned fluid delivery state. Model implementation includes collecting time series data streams corresponding to a current fluid delivery operation, identifying models based on a selected fluid delivery state and determined fluid delivery characteristics from the data streams, and determining a correction factor to account for a difference between observed and predicted fluid delivery values. Alerts and/or automated control are further provided based on the correction factor.