Medical Measurement System Protocol for Device Compatibility Verification
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Solution Overview
Problem
The challenge lies in ensuring accurate and safe analysis of medical measurement data from diagnostic medical devices, as proprietary programs developed by manufacturers are not universally compatible, leading to potential inaccuracies and safety risks when used with devices from other manufacturers, particularly due to the need for specific diagnostic tools to function correctly and the limitations posed by the administration of hyperemic agents like adenosine.
Innovation Solution
A method and system that involve retrieving identification information from diagnostic medical devices, generating proprietary signals to unlock specific programs on medical measurement systems, ensuring that only compatible devices from the same manufacturer can execute proprietary programs like FFR and iFR, thereby maintaining analysis accuracy and patient safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proprietary programs are made universally accessible on medical measurement systems, then ease of operation and adaptability improve, but measurement precision and reliability deteriorate due to incompatible devices producing inaccurate analysis
Solution Approach 1:
A detection module is introduced as an intermediary between the diagnostic medical device and the proprietary program execution. This module detects identification information from the connected device and determines compatibility before allowing program access, thereby preventing inaccurate analysis from incompatible devices while maintaining system adaptability
2Reliability
If device compatibility verification is implemented, then measurement precision and reliability improve, but device complexity and ease of operation worsen due to additional detection and verification steps
Solution Approach 1:
The diagnostic medical device itself provides its identification information through its existing communication interface, eliminating the need for separate verification hardware. The detection module simply queries and reads the device's self-provided identification data, maintaining reliability while minimizing added complexity
3Measurement precision
If device compatibility verification is implemented, then measurement precision improves, but ease of operation worsens due to additional verification steps required before program execution
Solution Approach 1:
The compatibility detection and verification is performed automatically in the background before the user attempts to execute a proprietary program. The detection module proactively checks device compatibility and either enables or disables program access without requiring manual verification steps from the user, thus maintaining ease of operation while ensuring measurement precision
Data Source
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AI summary
One aspect of the present disclosure involves a method. The method includes retrieving, from a diagnostic medical device, identification information that identifies a feature of the diagnostic medical device. A proprietary signal is generated in response to the identification information. The proprietary signal is sent to a medical measurement system to facilitate an unlocking of one or more programs to be executed on the medical measurement system. Another aspect of the present disclosure involves a method. The method includes detecting, through an electronic interface device, a coupling of a remote diagnostic medical device. Thereafter, a proprietary signal is received from the electronic interface device. An identity feature of the remote diagnostic medical device is ascertained based on the proprietary signal. One or more programs are unlocked for execution if the identity feature of the remote diagnostic medical device matches a predetermined identity feature.