Medical Support Device Prioritizing Recognition Processing Order
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Solution Overview
Problem
Existing medical imaging systems face challenges in efficiently processing a large number of medical images from multiple medical examinations, leading to increased processing load and potential delays in recognition processing.
Innovation Solution
A medical support device and system that acquires medical images and associated examination information, and executes recognition processing on these images in an order determined by the examination information, such as middle-of-examination, pre-examination, subject, operator, modality, and intermediate result information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If recognition processing is executed on each of a plurality of medical images simultaneously, then processing speed is improved, but processing load increases and system reliability deteriorates
Solution Approach 1:
The system executes preliminary actions by determining an execution order for recognition processing based on examination information before actually performing the recognition processing. This preliminary ordering allows the system to prioritize critical examinations and manage processing load effectively, preventing system overload while maintaining reliable processing of high-priority medical images
Solution Approach 2:
The plurality of medical images are segmented into different processing groups based on examination information such as examination type, urgency, and patient condition. This segmentation allows the system to process images in manageable batches according to priority levels, improving both processing speed for critical cases and system reliability by avoiding overwhelming the processing capacity
2Productivity
If recognition processing is executed in parallel on multiple medical images, then productivity is improved, but measurement precision deteriorates due to potential delays and errors
Solution Approach 1:
The system performs preliminary ordering of recognition processing execution based on examination information before processing begins. This preliminary action establishes a prioritized queue that ensures accurate recognition results are delivered in the correct sequence, preventing delays and errors that would otherwise occur in parallel processing while still maintaining high productivity through efficient resource utilization
3Ease of operation
If all medical images are processed without prioritization, then ease of operation is improved, but loss of time increases due to inefficient processing order
Solution Approach 1:
The system automatically determines the execution order of recognition processing based on examination information including examination type, urgency, and patient condition. This preliminary ordering eliminates the need for manual prioritization while ensuring that critical examinations are processed first, significantly reducing time loss without complicating system operation
Solution Approach 2:
The system performs self-service by automatically prioritizing and ordering the processing of medical images based on embedded examination information. This self-organizing capability eliminates the need for external intervention to manage processing queues, maintaining ease of operation while optimizing processing time through intelligent automatic prioritization
Data Source
AI summary
A medical support device includes a processor. The processor acquires a plurality of medical images corresponding to a plurality of medical examinations, acquires a plurality of pieces of medical examination information that correspond to the plurality of medical examinations and that are each associated with the corresponding medical examination, and causes a processing device to execute recognition processing on each of the plurality of medical images in an order determined based on the plurality of pieces of medical examination information.