18574164. USER PERFORMANCE EVALUATION AND TRAINING simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
USER PERFORMANCE EVALUATION AND TRAINING
Organization Name
Inventor(s)
Seyedali Sadeghi of Melrose MA (US)
Shyam Bharat of Arlington MA (US)
Claudia Errico of Medford MA (US)
Jochen Kruecker of Andover MA (US)
USER PERFORMANCE EVALUATION AND TRAINING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18574164 titled 'USER PERFORMANCE EVALUATION AND TRAINING
The abstract describes a graphical ultrasound user evaluation tool that utilizes a predictive model and log files from the ultrasound scanner to determine ultrasound user performance scores. The tool processes log files to extract actual performance metrics and compares them against predicted metrics to generate performance scores. These scores are then graphically presented in a user-friendly manner, such as on a graphical dashboard.
- The evaluation tool uses a predictive model and log files to determine ultrasound user performance scores.
- Log files are processed to extract actual performance metrics for comparison with predicted metrics.
- Predicted metrics can be obtained from a predictive model implemented by an analytical model or a trained neural network.
- Performance scores are graphically presented on a user-friendly dashboard.
- The tool can provide summary screens, detailed reports, and update scores based on user-specified experience levels.
Potential Applications: - Medical training programs - Quality control in ultrasound imaging departments - Performance evaluation for ultrasound technicians
Problems Solved: - Objective assessment of ultrasound user performance - Efficient monitoring and feedback for improvement
Benefits: - Enhanced training and skill development - Improved quality control in medical imaging - Increased efficiency in ultrasound operations
Commercial Applications: Ultrasound equipment manufacturers can integrate this tool into their systems to offer enhanced performance evaluation features, making their products more attractive to healthcare facilities seeking advanced imaging solutions.
Questions about the technology: 1. How does the tool determine predicted metrics for ultrasound user performance?
The tool uses a predictive model, which can be implemented by an analytical model or a trained neural network, to generate predicted metrics based on the information extracted from log files.
2. What are the potential implications of using this tool in medical training programs?
This tool can provide objective performance scores for ultrasound technicians, allowing for targeted training and skill development to improve overall quality of medical imaging services.
Original Abstract Submitted
A graphical ultrasound user evaluation tool is described. The evaluation tool employs a predictive model and log files recorded by the ultrasound scanner to determine one or more ultrasound user performance scores. The log files may be processed to extract actual (or recorded) performance metrics from the information (e.g., timed events such as button clicks) recorded in the log file, which are compared against predicted (or expected) metrics to determine the one or more performance scores. The predicted metrics may be obtained from a predictive model, which may be implemented by an analytical (e.g., regression or other) model or by a trained neural network. The ultrasound user performance scores are then graphically presented in a user-friendly manner, e.g., on a graphical dashboard which can provide a summary screen and further detailed reports or screens, responsive to user input, and/or update the scores based on comparison with a user-specified ultrasound user experience level.
