Medical Terminology Curriculum Design in the Age of AI and Big Data

Abstract

The objective of the current study is to design a contemporary medical terminology curriculum suitable
for the age of Artificial Intelligence and Big Data. It employs a cross-disciplinary approach by embedding
elements of Natural Language Processing, machine learning, and data science into medical pedagogy. The
methodology comprised a curriculum gap analysis and pilot teaching implementation. Evidence
demonstrates enhanced student participation and understanding. The findings of the study emphasize the
need to modernize the teaching of medicine in relation to the realities of a rapidly evolving data-centric
healthcare system.