Development of a Real-Time Multilingual Medical Terminology Translator for Emergency Settings
Keywords:
Healthcare Communication, Medical Informatics, Multilingual Translation, Natural Language Processing, Terminology of Medicine, Real-Time Systems, Emergency Medicine, Machine Translation.Abstract
This work describes the design of a real-time translator of medical terms into multiple languages for use
in urgent care situations. The system employs natural language processing (NLP), machine translation,
and medical ontologies to translate important medical terms quickly and accurately in a contextsensitive manner. Our approach combines custom translation algorithms with specialized terminology
datasets which enhances communication between medical practitioners and patients who speak different
native languages. This shift helps mitigate language barriers in emergency medical situations and may
aid in improving patients’ clinical outcomes and the risks they face in multilingual healthcare systems.
Outcomes suggest a bi-directional increase in translation accuracy and speed over existing tools.
