Infusion Pump Control Updates via Intermediate Device Feedback
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Solution Overview
Problem
Infusion pump devices struggle to adapt dynamically to changing user needs, such as insulin sensitivity, requiring frequent manual adjustments that are time-consuming and discouraging for users.
Innovation Solution
A system that includes processors and storage media to associate medical devices with intermediate devices, obtain measurement data, determine updated control information, and stream it back to the medical device via peer-to-peer communication sessions, allowing the device to autonomously adjust its operation based on the user's changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments to device settings are performed to accommodate changes in user needs, then the device can adapt to changing conditions, but the time and manual interaction required increases significantly
Solution Approach 1:
The system enables self-service by allowing the medical device to automatically receive and apply updated control information without requiring manual user intervention. The device autonomously adapts to changing user needs by receiving measurement data, processing it through algorithms, and adjusting its operation parameters automatically, eliminating the time-consuming manual adjustment process while maintaining high adaptability.
Solution Approach 2:
The system implements continuous feedback loops where measurement data from the user is constantly monitored, processed to determine updated control information, and fed back to adjust device operation. This automated feedback mechanism enables the device to dynamically adapt to changing conditions without manual intervention, resolving the contradiction between adaptability and time consumption.
2Adaptability or versatility
If frequent monitoring and manual adjustments are performed, then user needs are better accommodated, but user encouragement and compliance decrease
Solution Approach 1:
The system performs self-service by automatically monitoring user conditions and adjusting device parameters without requiring active user participation. The device independently executes the monitoring and adjustment functions, transforming a complex manual process into an automated self-managing system that maintains high adaptability while dramatically improving ease of operation and user compliance.
Solution Approach 2:
The system introduces an intermediary automated control mechanism that mediates between user needs and device operation. Instead of direct manual user interaction, the automated system acts as an intermediary that continuously monitors conditions and adjusts parameters, maintaining responsive adaptability while eliminating the burden of frequent manual adjustments on the user.
3Adaptability or versatility
If control information is updated frequently, then the device better matches changing user needs, but the complexity of the system increases
Solution Approach 1:
The system applies segmentation by dividing the complex adaptation function into separate modular components: measurement data acquisition, data processing algorithms, control information generation, and device parameter adjustment. This modular architecture enables frequent updates and high adaptability while managing system complexity through clear separation of functions, allowing each component to be independently optimized and maintained.
Data Source
AI summary
A system includes one or more processors and one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of: associating a medical device with an intermediate device, obtaining, from the medical device via the intermediate device, measurement data correlative to a condition of a user, determining updated control information for the medical device based at least in part on the measurement data, and streaming the updated control information to the medical device via the intermediate device.