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Providing multilingual access to health-related content
Till Plumbaum1, Sascha Narr1, Elif Eryilmaz1
1Technische Universität Berlin, Berlin, Germany.
This study introduces a novel health information system enabling multilingual natural language searches for health content. The system enhances accessibility for diverse populations, including immigrants with limited language proficiency.
Area of Science:
- Health Informatics
- Information Retrieval
- Natural Language Processing
Background:
- Accessing accurate health information is challenging due to complex search requirements and specialized terminology.
- Language barriers significantly impede health information access for non-native speakers and immigrants.
- Existing systems often lack robust support for multilingual and natural language queries in healthcare.
Purpose of the Study:
- To develop and present a novel health information system.
- To enable users to search for health information using natural language queries in multiple languages.
- To evaluate the system's usability for diverse user groups.
Main Methods:
- Development of a health information system incorporating natural language processing (NLP) capabilities.
- Implementation of a multilingual search interface supporting queries in various languages.
- Conducting a preliminary user study to assess system usability and effectiveness.
Main Results:
- The developed system successfully processes natural language queries across multiple languages.
- Preliminary user study indicates positive usability and potential for improved health information access.
- The system demonstrates feasibility in addressing language barriers in health information seeking.
Conclusions:
- The novel health information system offers a promising solution for overcoming language barriers in accessing health content.
- Multilingual natural language search capabilities enhance health information accessibility for immigrant and diverse populations.
- Further research and development are warranted to optimize the system for broader clinical and public health applications.
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