LANGUAGE AS A CATALYST FOR HEALTHCARE INNOVATION

Language plays a pivotal role in shaping the delivery, accessibility, and innovation of healthcare. As both a medium of communication and a tool for conceptualizing medical knowledge, language influences clinical decision-making, patient engagement, health literacy, and cross-cultural care. This research explores how linguistic structures, narrative medicine, multilingual technologies, and natural language processing (NLP) contribute to healthcare innovation. It investigates the integration of AI-powered language models, real-time translation tools, and inclusive health communication strategies in improving diagnostic accuracy, enhancing patient-provider interactions, and addressing disparities in global health systems. By positioning language as a dynamic enabler rather than a passive conduit, this study underscores its centrality in driving transformative change in modern healthcare.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.15667285
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

LANGUAGE AS A CATALYST FOR HEALTHCARE INNOVATION

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

LANGUAGE AS A CATALYST FOR HEALTHCARE INNOVATION

article en

Abstract

Language plays a pivotal role in shaping the delivery, accessibility, and innovation of healthcare. As both a medium of communication and a tool for conceptualizing medical knowledge, language influences clinical decision-making, patient engagement, health literacy, and cross-cultural care. This research explores how linguistic structures, narrative medicine, multilingual technologies, and natural language processing (NLP) contribute to healthcare innovation. It investigates the integration of AI-powered language models, real-time translation tools, and inclusive health communication strategies in improving diagnostic accuracy, enhancing patient-provider interactions, and addressing disparities in global health systems. By positioning language as a dynamic enabler rather than a passive conduit, this study underscores its centrality in driving transformative change in modern healthcare.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent State University of Law (UZ)
Quality Education
Openalex Percentile: Top 61%
Artificial Intelligence in Healthcare and Education
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