Prioritizing Medical Comment-on-Findings Search Results
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Solution Overview
Problem
Current methods for searching medical image comments-on-findings with concise queries face challenges in quickly identifying desired results due to the increased number and variability of search results, making it difficult for users to find relevant information efficiently.
Innovation Solution
An information processing apparatus and method that evaluates and prioritizes comment-on-findings candidates based on predetermined importance, grouping and sub-grouping them by diagnostic information and factuality, and presenting the most relevant results to the user, allowing for concise search queries to yield accurate and relevant findings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a concise search query is used, then the search input efficiency is improved, but the number and variations of search results increase, making it more difficult to quickly find desired comments on findings
Solution Approach 1:
The system performs preliminary actions by pre-defining importance levels for various combinations of diagnostic information and finding information before the search occurs. When a search query is submitted, the system immediately retrieves pre-evaluated comment-on-findings candidates and presents them in advance sorted by importance, eliminating the need for users to manually filter through unsorted results and reducing search time.
Solution Approach 2:
The system changes the parameter of result presentation by introducing an importance evaluation dimension. Instead of presenting all search results equally, the system assigns different importance levels to different comment-on-findings candidates based on their diagnostic information and finding information combinations, thereby prioritizing the most relevant results for the user.
2Measurement precision
If the search query is made more detailed, then the accuracy of search results is improved, but the search input time and complexity increase
Solution Approach 1:
The system performs self-service by automatically evaluating and ranking comment-on-findings candidates based on pre-defined importance criteria. The system independently determines which results are most relevant without requiring users to manually adjust search parameters or filter results, thereby maintaining high search result accuracy while reducing user input time and effort.
3Quantity of substance
If all comment-on-findings candidates are presented, then the completeness of information is improved, but the difficulty of identifying relevant information increases
Solution Approach 1:
The system segments the comment-on-findings candidates into different importance levels or categories based on their diagnostic information and finding information characteristics. By dividing the results into prioritized groups, the system maintains information completeness while making it easier for users to identify relevant information by presenting the most important segments first.
Solution Approach 2:
The system applies local quality by assigning different presentation weights to different comment-on-findings candidates based on their specific characteristics. Important combinations of diagnostic and finding information receive higher visibility and prioritization, while less important results are downgraded, thereby maintaining completeness while improving detectability of relevant information.
Data Source
AI summary
An information processing apparatus including at least one 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; evaluate each of the comment-on-findings candidates based on importance predetermined for each combination of diagnostic information and finding information included in the comment-on-findings candidates; and present at least one of the comment-on-findings candidates based on a result of the evaluation.