Ultrasound System Parameter Confirmation via Automated Guideline Comparison
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Solution Overview
Problem
Conventional methods for confirming system parameters in ultrasound imaging systems require significant user intervention and are time-consuming, leading to decreased workflow and throughput.
Innovation Solution
A method and system that automatically determine and confirm system parameters by comparing them to predefined guidelines using a processor, providing visual indicators when parameters are not within the defined values, thereby reducing the need for manual user action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual user intervention is used to confirm system parameters, then measurement accuracy and guideline compliance are ensured, but workflow time and examination duration increase significantly
Solution Approach 1:
The system performs preliminary automatic confirmation of system parameters against guidelines before the user begins the examination workflow. The processor automatically retrieves current system parameters, compares them to predefined guidelines, and determines compliance status without waiting for manual user verification, thus ensuring reliability while saving time.
Solution Approach 2:
The system performs self-verification of its own parameters by automatically retrieving, comparing, and assessing compliance of system parameters against guidelines. This self-service mechanism eliminates the need for manual user intervention in parameter confirmation, maintaining reliability through automated compliance checking while significantly reducing workflow time.
2Reliability
If multiple manual steps are required to confirm system parameters, then comprehensive guideline verification is achieved, but productivity and throughput decrease
Solution Approach 1:
The system merges multiple manual verification steps into a single automated process. The processor simultaneously retrieves system parameters, compares them against multiple guideline criteria, and determines overall compliance in one integrated operation, maintaining comprehensive guideline verification while eliminating the need for multiple separate user actions, thus improving productivity and throughput.
Solution Approach 2:
The automated confirmation system serves multiple functions: it retrieves system parameters, compares them against guidelines, determines compliance status, and provides visual feedback all through a single multi-functional automated process. This universal approach replaces multiple specialized manual steps, maintaining thorough guideline verification while significantly enhancing productivity and system throughput.
3Productivity
If automated parameter confirmation is implemented, then workflow efficiency and throughput improve, but system complexity increases
Solution Approach 1:
The system introduces a processor as an intermediary component that handles the automated parameter confirmation tasks. This intermediary processor retrieves parameters from the ultrasound system, compares them against stored guidelines, and generates compliance indicators for display. By centralizing these functions in a dedicated intermediary component, the system achieves automated confirmation and improved workflow efficiency while managing complexity through clear functional separation.
Solution Approach 2:
The system replaces manual mechanical verification processes with automated electronic processing. Instead of users manually checking parameters against guidelines, the processor electronically retrieves, compares, and evaluates system parameters automatically. This substitution of manual operations with automated electronic processing improves workflow efficiency and throughput while the modular electronic architecture manages system complexity effectively.
4Reliability
If visual indicators are displayed for parameter compliance, then user awareness and quality control improve, but information processing requirements increase
Solution Approach 1:
The system uses color-coded visual indicators to communicate parameter compliance status to the user. The processor generates and displays indicators such as green checkmarks for compliant parameters and red warning symbols for non-compliant parameters. This color-based visual system improves quality control and user awareness by providing immediate, intuitive feedback while efficiently encoding compliance information in a compact visual format that minimizes information processing requirements compared to detailed text reports.
Data Source
AI summary
Methods and systems for displaying system parameter information are provided. One method includes determining a value for a system parameter using the ultrasound system and comparing the determined value to a defined value for a system processing guideline using a processor of the ultrasound system. The method further includes providing system parameter confirmation information based on the comparing when the determined value is not within the defined value.