Medical Document Creation Support Apparatus Suppressing Unnecessary Comments
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Solution Overview
Problem
Existing medical document creation systems face challenges in allowing radiologists and diagnosticians to easily and quickly grasp necessary information for diagnosis, as they often include unnecessary comments and vary in formatting, making it difficult to quickly understand the content of medical documents.
Innovation Solution
A medical document creation support apparatus and method that processes visible information in current medical documents based on past images or medical documents, or predetermined rules, allowing for suppression, display, or restoration of content, enabling concise and focused reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If comments from past reports are copied to create current reports, then report creation efficiency is improved, but unnecessary comments are included making it difficult to grasp essential information quickly
Solution Approach 1:
The system extracts and identifies unnecessary comments from past reports using AI technology, then removes them before incorporating comments into the current report. This extraction process ensures that only essential and relevant information is retained, solving the contradiction between efficient report creation and clarity of essential information.
Solution Approach 2:
The system changes the parameter of comment selection from static copying to dynamic filtering based on AI analysis. By adjusting the selection criteria through machine learning models, the system adapts to identify and retain only necessary comments while removing redundant information, thus maintaining both efficiency and clarity.
2Quantity of substance
If all comments from past reports are used in current reports, then information completeness is improved, but readability and quick comprehension are deteriorated
Solution Approach 1:
The system extracts essential information from past reports while removing redundant or unnecessary comments. By selectively taking out only the necessary information elements, the system maintains information completeness while improving readability and quick comprehension for diagnosticians.
Solution Approach 2:
The system segments comments into essential and non-essential categories using AI analysis. This segmentation allows the system to preserve complete essential information while separating out unnecessary content, thereby maintaining both information completeness and ease of reading.
3Adaptability or versatility
If comment descriptions vary according to different preferences or cases, then adaptability is improved, but consistency and quick understanding are worsened
Solution Approach 1:
The system changes the parameter of comment standardization by using AI to analyze and normalize varied comment descriptions into a consistent format. This parameter change allows the system to maintain adaptability to different input styles while ensuring consistent output that enables quick understanding.
Solution Approach 2:
The system applies homogeneity by standardizing comment descriptions through AI processing. Even though input comments may vary in style and format, the system transforms them into a uniform structure, ensuring consistent presentation that facilitates quick comprehension while preserving the essential adaptive information.
Data Source
AI summary
The medical document creation support apparatus includes a visible information reception unit that receives visible information included in a current medical document, and a processing unit performs processing of suppressing a part of a content indicated by the visible information received by the visible information reception unit on the basis of at least one of a past image, a past medical document, or a predetermined rule.