Medical Report Structuring via NLP Term Classification
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Solution Overview
Problem
Medical interpretation reports written in natural language often vary in structure and clarity, making it difficult for doctors to efficiently grasp and compare diagnostic information due to differences in writing styles and the use of technical terms.
Innovation Solution
An information processing system that analyzes medical texts, extracts term expressions, classifies them based on usage types, and presents the information in a unified sequence, facilitating structured presentation and comparison of interpretation reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interpretation reports are written in natural language with technical terms and varying writing styles, then the reports reflect medical image interpreters' knowledge and expertise, but the structure and clarity of the reports become inconsistent, making it difficult for doctors to efficiently grasp and compare diagnostic information
Solution Approach 1:
The patent segments the interpretation report into structured components: observation items (what is seen in images), finding items (diagnostic conclusions), and plan/request items (follow-up actions). This segmentation transforms unstructured natural language text into organized, comparable data elements while preserving the original diagnostic meaning and expertise.
Solution Approach 2:
The patent introduces an intermediary processing system that includes a natural language processing unit, term expression obtaining unit, and classifying structuring unit. This intermediary transforms the raw natural language interpretation reports into standardized structured data, enabling efficient comparison while maintaining the original diagnostic accuracy.
2Loss of information
If medical image interpreters use technical terms and omit expressions based on medical knowledge assumptions, then the interpretation reports convey precise medical information, but the reports become difficult for non-specialists to understand and compare
Solution Approach 1:
The patent changes the parameter of information presentation from natural language text to structured data with standardized categories and attributes. This transformation maintains the completeness of medical information while making it detectable and comparable through systematic organization of observation items, finding items, and plan/request items.
3Ease of operation
If the sequence of text in interpretation reports follows natural language grammar and writing rules rather than logical relationships, then the reports read smoothly in natural language, but the appearance order of expressions differs from the logical sequence of diagnostic reasoning
Solution Approach 1:
The patent adds a new dimension to information presentation by organizing data in both natural language form and structured logical form simultaneously. The structured presentation includes separate categories for observations, findings, and plans, allowing users to access information both as readable text and as logically organized data with clear relationship sequences.
Data Source
AI summary
An information processing apparatus includes: an analysis unit configured to analyze a text; an obtaining unit configured to obtain term expressions from the text based on a result of the analysis; a classifying structuring unit configured to classify the term expressions based on a usage type of the term expressions; and a presentation unit configured to present a result of the classification based on a unified presentation sequence.