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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HealthTermFinder: Enhancing Multilingual Interoperability

Jannik Schaaf, Richard Noll, Holger Storf
Studies in health technology and informatics
Biomedical Text Mining and Ontologies
article

HealthTermFinder: Enhancing Multilingual Interoperability

Jannik Schaaf, Richard Noll, Holger Storf
article en

Abstract

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.

Studies in health technology and informaticsVol. 327
Goethe University Frankfurt (DE), University Hospital Frankfurt (DE)
Quality Education
Openalex Percentile: Top 79%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.