Multi-Dimensional Document Representation for Accurate Medical Translation
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Solution Overview
Problem
Current healthcare systems lack the ability to provide accurate, fast, and reliable customization or translation of documents into multiple languages, particularly in specialized domains like medicine, leading to dangerous inaccuracies and inefficiencies in patient care.
Innovation Solution
A system and method for multi-dimensional knowledge representation that allows users to create a configurable document with structured data divided into subparts, each having multiple dimensions, enabling customizable output in various languages through an editing interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic language translation programs are used, then translation speed is improved, but translation accuracy deteriorates
Solution Approach 1:
The patent segments the translation process into multiple dimensions including source language, target language, domain expertise, and contextual factors. Each dimension is represented as a separate parameter in the knowledge representation system, allowing accurate and nuanced translation while maintaining speed through automated processing of structured data.
Solution Approach 2:
The patent introduces multi-dimensional knowledge representation that adds dimensions beyond simple source-target language pairs. These dimensions include domain-specific knowledge, cultural context, and semantic relationships, enabling accurate translation in specialized domains like medicine while maintaining automated efficiency.
2Measurement precision
If medical translators are hired for customization, then translation accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent implements preliminary action by pre-structuring medical content into standardized templates with defined dimensions and parameters during the content creation phase. This allows automated systems to accurately generate translations in multiple languages without requiring manual translator intervention for each document, thus maintaining accuracy while reducing time consumption.
Solution Approach 2:
The system changes parameters by representing medical knowledge in a structured format with configurable dimensions that can be automatically processed. This parameter-based approach enables accurate translation generation through automated systems rather than manual processes, eliminating the trade-off between accuracy and time.
3Device complexity
If conventional document systems are used, then system simplicity is maintained, but customization capability deteriorates
Solution Approach 1:
The patent implements universality by creating a configurable document system that can generate multiple language versions and customized outputs from a single structured source document. The system maintains relative simplicity through standardized templates while achieving high customization capability through configurable dimensions and parameters that adapt to different medical domains and language requirements.
Data Source
AI summary
Exemplary embodiments generally relate to knowledge representation, and in particular, multi-dimensional knowledge representation in a configurable document that includes a collection of subparts that have a number of dimensions. Further, a number of versions of each configurable document may be defined, with each version including a different subset of subparts from the collection of subparts.