Sentence Candidate Terminal Prioritizing Frequency
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Solution Overview
Problem
Existing systems for presenting sentence candidates based on input characters are inefficient in providing the exact sentence intended by the user and fail to offer relevant sentences before and after the input sentence, leading to suboptimal report generation in medical diagnostic imaging and other contexts.
Innovation Solution
A terminal and system that utilize a report database to search for and generate sentence groups based on input characters, prioritizing sentences by frequency of use, and optionally outputting sentences before and after the input sentence, as well as those related by label or term, to enhance report generation efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a report database is used to search and generate sentence candidates based on input characters, then the relevance and appropriateness of sentence candidates are improved, but the system complexity increases
Solution Approach 1:
The patent introduces a report database as an intermediary component that stores historical reports and enables searching for relevant sentences based on input characters. This intermediary structure allows the system to retrieve and prioritize sentence candidates from existing reports, improving relevance without requiring complex real-time analysis capabilities.
2Productivity
If only sentences containing the input character are presented, then the search result is concise, but the user cannot efficiently complete the entire report with high quality
Solution Approach 1:
The patent segments the report into multiple sentences and presents them individually as candidates. By extracting and presenting sentences one at a time (including sentences before and after the input character), the system allows users to efficiently review and select appropriate sentences for the report, improving overall generation efficiency while maintaining context information.
Solution Approach 2:
The system performs preliminary action by pre-extracting and storing relevant sentences from historical reports in the report database before the user needs to generate a new report. This allows the system to quickly retrieve and present complete sentence contexts (including preceding and following sentences) when the user inputs characters, enabling efficient report completion without requiring real-time search through entire reports.
3Ease of operation
If sentences are prioritized based on frequency of use, then the most relevant sentences are presented first, but sentences with lower frequency but high relevance may be missed
Solution Approach 1:
The patent applies local quality by differentiating the presentation of sentence candidates based on their frequency of use. High-frequency sentences are presented with higher priority or more prominent display, while low-frequency sentences are still included but with lower priority. This allows the system to optimize for user input efficiency by presenting the most likely candidates first while maintaining the option to select less common but equally relevant sentences.
Data Source
AI summary
The present invention is to provide a terminal for presenting a sentence candidate that presents a candidate to improve the work efficiency and to standardize a sentence, when a report is generated. The terminal for presenting a sentence candidate 100 is capable of presenting a more appropriate sentence candidate by including a report data base 131 that stores a report including a plurality of sentences, searching the report data base by an input character, generating a report group including a plurality of reports as a search result, extracting a sentence containing a character input from the report group to generate a sentence group, and preferentially outputting a predetermined sentence based on a priority.