Infusion Pump Peer-to-Peer Updates for Adaptive Fluid Delivery
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Solution Overview
Problem
Conventional infusion pump devices require frequent manual adjustments to accommodate changing user needs, such as insulin sensitivity, which can be discouraging due to the time and interaction involved.
Innovation Solution
A medical device with a motor, data storage, and a control module that undergoes peer-to-peer communication sessions to obtain and apply updated control information for dynamic operation, adjusting fluid delivery based on user measurement data to adapt to changing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments are performed to accommodate changes in user needs, then the device can adapt to individual requirements, but the time and manual interaction required increases significantly
Solution Approach 1:
The system enables self-service by automatically monitoring user physiological data and adjusting device parameters without manual intervention. The processor continuously receives sensor data, compares it to target ranges, and autonomously modifies control parameters to adapt to changing user needs, eliminating the time-consuming manual adjustment process while maintaining high adaptability.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from the user is constantly monitored and fed back to the processor. This feedback mechanism allows the device to detect changes in user condition and automatically adjust parameters in real-time, resolving the contradiction by making the device both highly adaptable and time-efficient through automated closed-loop control.
2Measurement precision
If frequent monitoring and manual adjustments are performed, then user needs are accurately met, but user encouragement and compliance decrease due to the burden involved
Solution Approach 1:
The device performs self-service by automatically conducting continuous monitoring and parameter adjustments without requiring user action. The sensor array continuously collects physiological data, and the processor autonomously processes this information and modifies device parameters, thereby maintaining high measurement precision while completely eliminating the operational burden on the user.
Solution Approach 2:
The system replaces manual mechanical adjustment operations with automated electronic control. Instead of requiring users to physically adjust device parameters, the processor electronically modifies control parameters based on sensor data, substituting the mechanical user-device interaction with an automated information-processing system that maintains precision while dramatically improving ease of operation.
3Manufacturing precision
If device settings are dynamically updated based on user data, then delivery accuracy improves, but device complexity increases due to additional communication and processing requirements
Solution Approach 1:
The device achieves multi-functionality by integrating sensor arrays, communication modules, and control processing into a single unified system. This universal design allows the same device to perform monitoring, data transmission, parameter adjustment, and delivery control functions simultaneously, thereby improving delivery accuracy through dynamic updates while minimizing the increase in overall device complexity through functional integration.
Solution Approach 2:
The system introduces an intermediary communication module that bridges the sensor data acquisition system and the motor control system. This intermediary processor receives raw sensor data, processes it against target ranges, determines appropriate parameter adjustments, and transmits control commands to the motor, thereby enabling high delivery accuracy through coordinated control while managing system complexity through modular architecture.
Data Source
AI summary
Apparatus are provided for medical devices and related operating systems and methods. An exemplary medical device includes a motor, one or more data storage elements to maintain control information, and a control module coupled to the motor and the one or more data storage elements. The control module is configured to obtain updated control information via a peer-to-peer communication session over a network, store the updated control information in the one or more data storage elements, and thereafter operate the motor based at least in part on the updated control information.