Harmonizing Medical Terminology across Multilingual Healthcare Systems: A Global Framework

Abstract

This document describes a framework designed to solve problems associated with the lack of multilingual
terminology standardization in health systems using ontology alignment, natural language processing, and
AI-based cross mapping. The framework is designed to address linguistic and contextual barrier issues
related to medical data exchange. A preliminary study showed improved results in cross-language
conceptualization consistency and accuracy, which surpassed conventional standards, and had increased
efficiency in speed and processing. This framework aids global health informatics by enhancing seamless
data capture integration, patient care, and research cooperation across regions with diverse languages.