Medical Finding Comment Search Using Importance-Based Element Ranking
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Solution Overview
Problem
Existing image diagnosis systems struggle to efficiently present a wide variety of information related to medical findings while allowing users to quickly find desired information, leading to difficulties in creating comprehensive interpretation reports.
Innovation Solution
An information processing apparatus that searches for and presents comment-on-findings candidates based on predetermined importance values for combinations of element information, using a processor to display and narrow down results based on frequency and uniqueness, allowing users to input search queries and select relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a wide variety of information is presented as possible diagnoses from a certain finding, then the completeness of interpretation reports is improved, but it becomes difficult for users to quickly find desired information
Solution Approach 1:
The patent segments the large volume of comment-on-findings information into smaller groups based on element information categories (finding type, organ system, diagnostic category). This segmentation allows users to navigate through organized subsets rather than overwhelming raw data, maintaining completeness while improving accessibility through structured presentation.
Solution Approach 2:
The patent introduces a new dimension of organization by grouping comments based on combinations of element information attributes (finding type + organ system + diagnostic category). This multi-dimensional classification system transforms the information space, allowing users to locate desired information through multiple access paths while preserving comprehensive coverage.
2Productivity
If autocomplete terms are suggested based on co-occurrence statistics, then the efficiency of report creation is improved, but the accuracy of finding relevant information may be reduced
Solution Approach 1:
The patent implements feedback mechanisms where the system learns from user interactions with suggested comments. Usage patterns and selection behaviors are fed back into the system to refine co-occurrence statistics and importance calculations, continuously improving both the relevance of suggestions and the accuracy of information retrieval over time.
Solution Approach 2:
The patent dynamically adjusts parameters such as importance weights and co-occurrence thresholds based on accumulated usage data. This allows the system to adapt suggestion priorities and filtering criteria to match actual user needs and clinical contexts, enhancing both efficiency and precision simultaneously.
Data Source
AI summary
An information processing apparatus including a processor, wherein the processor is configured to: search for a plurality of comment-on-findings candidates related to a search query from a comment-on-findings group including a plurality of comments on findings; and present, based on a predetermined importance for each combination of two pieces of element information associated with each of the plurality of comment-on-findings candidates, at least one piece of the element information.