Medical Device Configuration Error Detection System
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Solution Overview
Problem
Large medical facilities face challenges in tracking and maintaining the configuration of various medical imaging devices, leading to potential configuration errors that can go undetected for a long time, affecting device performance and requiring efficient methods to identify and correct these issues.
Innovation Solution
An equipment monitoring system that receives and analyzes telemetry information from medical devices, requesting and comparing system configuration attributes and performance attributes to determine configuration errors, generating notifications for maintenance personnel when errors are detected, and verifying the completion of upgrades and maintenance tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking and monitoring of medical device configurations is performed, then device maintenance can be managed, but the time required to detect configuration errors increases significantly
Solution Approach 1:
The medical device automatically performs self-diagnostics by comparing its current configuration state against stored baseline configurations and operational parameters. The device autonomously detects configuration errors, generates alerts, and notifies maintenance personnel without requiring manual inspection, thereby maintaining reliability while eliminating time delays associated with human monitoring.
Solution Approach 2:
The system implements continuous feedback loops where the medical device monitors its own configuration parameters in real-time, compares them against expected values, and automatically generates notifications when deviations are detected. This closed-loop feedback mechanism ensures rapid detection of configuration errors and immediate notification to maintenance personnel, resolving the contradiction between reliability and detection time.
2Measurement precision
If comprehensive telemetry information is collected and analyzed from medical devices, then configuration errors can be accurately detected, but the complexity of the monitoring system increases
Solution Approach 1:
The patent extracts and isolates only the critical configuration parameters and telemetry data points that are essential for detecting configuration errors. By focusing on a curated subset of relevant data rather than analyzing all possible device parameters, the system achieves high detection accuracy while maintaining manageable complexity in the monitoring architecture.
Solution Approach 2:
The monitoring system is segmented into modular functional components: data collection modules, analysis modules, comparison modules, and notification modules. Each module handles specific aspects of configuration monitoring independently, allowing the system to process comprehensive telemetry information with high precision while keeping overall system complexity manageable through modular design.
3Loss of time
If frequent monitoring of medical device configurations is performed, then configuration errors are detected quickly, but the energy consumption and data transmission load increase
Solution Approach 1:
The system implements periodic monitoring at optimized intervals rather than continuous monitoring. Configuration parameters are sampled at predetermined time intervals, and the device transitions between active monitoring and low-power states. This periodic approach enables timely detection of configuration errors while significantly reducing energy consumption and data transmission load compared to continuous monitoring.
Solution Approach 2:
The monitoring system performs partial monitoring by focusing only on critical configuration parameters that are most likely to change or cause errors, rather than continuously monitoring all device parameters. This selective partial monitoring approach maintains rapid error detection capability for the most important parameters while reducing overall energy consumption and data transmission requirements.
Data Source
AI summary
Provided is an equipment monitoring system. The equipment monitoring system receives first telemetry information from a medical device and determines, based on the first telemetry information, whether the device has a configuration error. If the device is determined to have a configured error, the system obtains second telemetry information from the device to confirm whether the device has a configuration error.