Remote Medical Imaging Operator Assessment System
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Solution Overview
Problem
Assessing the knowledge and skills of medical imaging device operators and evaluating their performance during imaging examinations is challenging, especially in radiology operations command centers (ROCC) where effective remote assistance depends on understanding the local operator's capabilities.
Innovation Solution
A system that collects data from medical imaging device controllers, analyzes performance metrics, and provides a remote assistance user interface for experts to offer real-time guidance, using screen-scraping, video feeds, and communication pathways to assess and improve operator performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote assistance is provided to local operators, then the quality of imaging examinations is improved, but the complexity of the system increases
Solution Approach 1:
The patent introduces a server as an intermediary component that mediates between local imaging devices and remote experts. The server collects data from local operators, analyzes performance metrics, and facilitates remote assistance through communication channels, thereby enabling quality improvement without directly increasing the complexity of individual imaging devices
Solution Approach 2:
The remote assistance system is designed to serve multiple functions: providing real-time guidance to operators, collecting performance data, analyzing skills, and facilitating training. This multi-functionality allows a single system to improve examination quality across multiple dimensions while managing complexity through consolidation
2Measurement precision
If performance assessment is conducted to evaluate operator skills, then the accuracy of skill evaluation is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system automatically collects performance data from imaging examinations and provides feedback to both operators and evaluators. By continuously monitoring actual performance during examinations and comparing it against expected metrics, the system achieves accurate skill evaluation without manual assessment difficulty
Solution Approach 2:
The patent replaces manual assessment methods with automated data collection and analysis systems. Performance metrics are automatically extracted from imaging data, communication records, and examination parameters, eliminating the need for complex manual evaluation processes while maintaining or improving measurement precision
3Measurement precision
If data collection is performed to assess operator performance, then the accuracy of performance metrics is improved, but the loss of information increases
Solution Approach 1:
The system extracts only the necessary performance metrics from the vast amount of available imaging and operational data. By selectively collecting and analyzing specific parameters relevant to operator performance rather than all possible data, the system achieves accurate metrics while minimizing information loss and storage requirements
Data Source
AI summary
A method (100) of assessing performance of a local medical imaging device operator (LO) during imaging examinations performed using one or more medical imaging devices (2) includes: obtaining data related to the imaging examinations during performance of the medical imaging examinations; analyzing the obtained data to determine one or more performance metrics of the local operator; and during a current imaging examination, providing a remote assistance user interface (UI) (28) to at least one display device (24) operable by a remote expert (RE), the UI providing two-way communication between the local medical imaging device operator and the remote expert via which the remote expert can provide assistance to the local medical imaging device operator, the UI further displaying a visualization (34) of the determined one or more performance metrics of the local operator.