Multilingual Case Data Processing with Dual-Language Fields

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Solution Overview

Problem

Existing systems face inefficiencies in generating individual case safety reports (ICSRs) in multiple languages, requiring duplicate processing and storage of case data for different health authorities, which increases time and resource consumption.

Innovation Solution

A multilingual data processing system with duolingual text fields and AI-driven translation capabilities allows simultaneous generation of case datasets in multiple languages, reducing duplication and resource usage by integrating text fields for multiple languages in a single interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If separate processing systems are used for each language version of case data, then language-specific processing accuracy is improved, but system complexity and resource consumption increase

Engineering Contradiction:

Improvelanguage-specific processing accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple language processing capabilities into a single integrated system. The processor executes instructions to simultaneously handle source language and target language data within one system architecture, eliminating the need for separate processing systems for each language version while maintaining language-specific processing accuracy through dedicated processing modules within the unified system.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The processing system is designed with multi-functionality to handle multiple languages through a single unified platform. The system can process case data in source languages and generate corresponding target language versions using the same core processing infrastructure, reducing system complexity while maintaining the ability to accurately process different language versions.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Loss of information

If complete case data is processed and stored for each language version, then data completeness for each language is improved, but memory requirements and processing time increase

Engineering Contradiction:

Improvedata completenessVSAvoidprocessing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary processing of source language case data to extract and store only the essential information that needs to be translated. By pre-identifying and storing key case data elements in the source language along with their corresponding field codes, the system avoids redundant processing and storage of complete duplicate datasets for each target language, thereby reducing processing time while maintaining data completeness.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Instead of storing complete duplicate case datasets for each language version, the system creates lightweight references or pointers to the source data combined with translation metadata. This copying approach maintains data completeness by preserving access to all original information while significantly reducing memory requirements by avoiding redundant storage of entire case files in multiple languages.

Inventive Principle:

Principle #26Copying

3Productivity

If AI translation services are integrated into the case processing system, then translation speed is improved, but system resource requirements increase

Engineering Contradiction:

Improvetranslation speedVSAvoidcomputational resources

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system applies AI translation selectively to only the portions of case data that require translation, rather than processing entire case files. By identifying and translating only the specific text fields that need target language conversion while leaving structured data and field codes unchanged, the system achieves high translation speed for the necessary content while minimizing computational resource consumption.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system introduces an intermediary layer that manages the interaction between source data, AI translation services, and output generation. This intermediary processing architecture coordinates translation requests, manages resource allocation, and optimizes the use of AI translation capabilities, thereby improving translation speed while controlling system resource requirements through intelligent resource management.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12443805B1Systems and methods for multilingual data processing and arrangement on a multilingual user interface

Publication Date: 2025.10.14 VEEVA SYSTEMS INC

AI summary

A method for generating a first case dataset in a first language. The method includes receiving adverse event data. The method further includes determining case data including general case data and regional case data and providing the case data to a translator computing device to enable display on a user interface including multiple duolingual text fields with a first language text field including at least a portion of the text data in the first language and a second language text field adjacent the first language text field. The method further includes receiving the text data in the second language from a translator computing device. The text data in the second language is received via the second language text fields of the plurality of duolingual text fields. The method further includes generating and outputting the first case dataset including the text data in the first language.