Document Presentation Apparatus Using Date-Based Evaluation
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Solution Overview
Problem
Users, such as doctors, face a burden when creating summary documents as they need to review numerous medical documents, making it time-consuming to identify relevant information for summarization.
Innovation Solution
A document presentation apparatus and method that acquires date information from medical documents, extracts relevant documents based on set conditions, and prioritizes those with higher evaluation values derived from the date information, facilitating the creation of summary documents by presenting the most pertinent documents first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all medical documents for a predetermined period are reviewed to create a summary document, then comprehensive summarization is achieved, but the user burden and time consumption increase significantly
Solution Approach 1:
The system extracts only the necessary date information from medical documents using NLP technology, rather than requiring users to review entire documents. This extraction approach identifies key temporal data points that are sufficient for creating accurate summary documents, significantly reducing the time burden while maintaining comprehensive summarization quality
Solution Approach 2:
The system performs preliminary extraction and evaluation of date information from all medical documents before the user creates the summary document. By pre-processing and organizing documents based on extracted date data, the system prepares the information in advance, allowing users to quickly select relevant documents without having to review all documents manually
2Measurement precision
If numerous medical documents are reviewed to identify relevant information, then accurate summarization is achieved, but the user burden increases
Solution Approach 1:
The system automatically evaluates and ranks medical documents based on extracted date information without requiring user intervention. The NLP-based date extraction and evaluation mechanisms perform the filtering work autonomously, presenting documents in order of relevance and allowing users to simply select from pre-ranked options, thereby maintaining accuracy while dramatically reducing operational burden
Solution Approach 2:
The system changes the parameter of document evaluation from manual review to automated date-based scoring. By transforming the evaluation criterion into extractable date information and calculating evaluation values based on these dates, the system objectively ranks documents, ensuring accurate summarization while eliminating the need for users to manually assess numerous documents
3Productivity
If date information is extracted and evaluation values are calculated for all documents, then appropriate document selection is improved, but processing complexity increases
Solution Approach 1:
The system replaces manual document review mechanisms with automated NLP-based date extraction and evaluation algorithms. This substitution of mechanical human review with computational processing efficiently handles the extraction and scoring of numerous documents, improving selection productivity while the modular algorithm design keeps processing complexity manageable through standardized extraction and evaluation routines
Data Source
AI summary
A document presentation apparatus acquires date information based on text information included in a document, extracts a plurality of the documents based on a set condition, and presents the document of which an evaluation value based on the date information acquired for each of the plurality of extracted documents is relatively high with priority over the document of which the evaluation value is relatively low.