HealthTermFinder: Enhancing Multilingual Interoperability
In the global healthcare landscape, the accessibility and standardization of medical terminologies across different languages are crucial. HealthTermFinder is a tool designed to harness the Unified Medical Language System (UMLS) for the multilingual discovery of standardized healthcare terms. Our tool explores the relationships between atomic units of UMLS terminology sourced from various databases. We have mapped up to 24 languages, including Arabic, French, German, and Spanish, to SNOMED CT and HPO. Furthermore, we mapped clinical features for three German case studies using HealthTermFinder and achieved a total coverage of 82 % with high accuracy. HealthTermFinder aims to overcome language barriers in accessing standardized healthcare terminologies, facilitating global interoperability and data sharing in the healthcare sector.
Authors
- Jannik Schaaf (ORCID: https://orcid.org/0000-0002-0058-155X)
- Richard Noll (ORCID: https://orcid.org/0000-0002-5240-8484)
- Holger Storf (ORCID: https://orcid.org/0000-0001-8126-9535)
Institutions
- Goethe University Frankfurt (DE)
- University Hospital Frankfurt (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250262
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00