Keyword-Matching Information Processing for Medical Report Reference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current medical imaging technologies face challenges in efficiently referencing documents of different types while creating interpretation reports, often requiring reference to documents other than past interpretation reports, such as guidelines or papers.
Innovation Solution
An information processing apparatus that extracts related keywords from images and sentences within a first document, matches or similar keywords with correspondence information to specify relevant documents of a different type, and provides notifications for easy access to these documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual search methods are used to find reference documents, then comprehensive document search is possible, but time consumption and operational complexity increase
Solution Approach 1:
The system pre-extracts keywords from reference documents (guidelines, papers, etc.) and pre-establishes correspondence relationships between keywords and documents before actual use. This preliminary preparation allows rapid retrieval during report creation without manual searching, resolving the contradiction between search accuracy and time consumption.
Solution Approach 2:
The system introduces an intermediary keyword extraction and matching mechanism that automatically bridges the gap between the interpretation report being created and the reference documents. Instead of manual searching, the intermediary system extracts relevant keywords from the current report context and automatically matches them with pre-indexed reference documents, significantly reducing time while maintaining accuracy.
2Adaptability or versatility
If multiple types of documents are referenced, then comprehensive information is available, but document management complexity increases
Solution Approach 1:
The system creates a universal document management framework that can handle multiple document types (interpretation reports, guidelines, papers, etc.) through a unified keyword-based correspondence structure. This universal approach allows versatile document coverage while maintaining simple, consistent management procedures across all document types.
Solution Approach 2:
The system changes the management parameter from manual categorization and searching to automated keyword extraction and matching. By transforming the management approach based on this parameter change, the system achieves high adaptability across multiple document types while keeping the management system itself simple and intuitive.
3Productivity
If automatic keyword extraction is implemented, then document matching efficiency improves, but extraction accuracy may decrease
Solution Approach 1:
The system performs preliminary keyword extraction from reference documents during the setup phase, creating a pre-indexed keyword-document correspondence database. This preliminary action allows the system to achieve both high extraction accuracy (through careful initial extraction) and high productivity (through rapid matching against the pre-established index during actual use).
Solution Approach 2:
The system extracts multiple potential keywords (excessive extraction) from both the interpretation report and reference documents, then uses correspondence matching to identify the most relevant ones. This approach ensures that even if individual keyword extraction has some inaccuracy, the overall document matching achieves high precision through the cumulative effect of multiple keyword comparisons.
Data Source
AI summary
A processor is configured to: extract at least one related keyword related to an image from at least one of the image or a sentence described in a first document related to the image; refer to correspondence information in which a plurality of second documents of a different type from the first document are associated with at least one keyword included in each of the second documents, and specify at least one second document associated with a keyword that matches or is similar to the related keyword; and provide a notification of the specified document.