Medical Report Assistance Apparatus for Region Consistency Checking
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Solution Overview
Problem
Existing techniques for creating medical interpretation reports fail to identify regions of interest that were not input by medical doctors, leading to missing descriptions and inconsistencies between input and interest information, making it difficult to ensure comprehensive reporting.
Innovation Solution
An assistance apparatus and method that determine the consistency between observed regions of interest and described regions in medical image data, highlighting missing descriptions and checking failures by comparing gaze points and report content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical doctors manually create interpretation reports based on their observation, then the report creation process is flexible and adaptable, but regions of interest may be missed or inconsistencies may occur between observed and described regions
Solution Approach 1:
The system implements feedback by automatically comparing the set of described regions (from report text) with the set of regions of interest (from image analysis) and notifying the medical doctor of any inconsistencies or missing descriptions. This closed-loop feedback mechanism ensures that all observed regions are properly documented without requiring complex manual tracking systems.
Solution Approach 2:
The system performs self-service by automatically extracting regions of interest from medical images using image analysis algorithms and automatically comparing them with described regions in the report. This reduces the burden on medical doctors while maintaining high reliability in report completeness.
2Measurement precision
If the system automatically tracks and compares all regions, then the accuracy and completeness of the report improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-processing medical images to identify and store regions of interest before report creation begins. These pre-identified regions are then quickly matched against described regions during report generation, significantly reducing the time required for comparison while maintaining high accuracy.
Solution Approach 2:
The system creates simplified representations (copies) of regions of interest with key identifying features extracted in advance. During comparison, the system matches these simplified copies rather than performing full image analysis, thereby maintaining measurement precision while reducing processing time.
3Reliability
If the system monitors and analyzes all observed regions, then missing descriptions and checking failures are reduced, but the operational complexity and user burden increase
Solution Approach 1:
The system performs self-service by automatically extracting described regions from the report text using natural language processing and automatically comparing them with regions of interest. The medical doctor simply writes the report naturally without needing to manually tag or track regions, thereby maintaining ease of operation while ensuring consistency.
Solution Approach 2:
The system provides targeted feedback only when inconsistencies are detected, notifying the medical doctor of specific missing descriptions or mismatches. This selective feedback approach maintains ease of operation by not interrupting the doctor during normal report writing while still ensuring reliability through automated consistency checking.
Data Source
AI summary
An assistance apparatus for assisting creation of an interpretation report obtains a set of regions of interest, which are determined as regions that were observed, of medical image data of a subject that is displayed as an interpretation target, and a set of described regions, which are regions that correspond to description of an interpretation report about the medical image data of a subject. The assistance apparatus determines consistency between the set of regions of interest and the set of described regions, and lets a display unit display a result of the determination.