Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange.

Dukyong Yoon Changho Han Dong Won Kim Songsoo Kim Yongcheol Kim Jee An Ryu Yujin Choi

Published in: Journal of medical Internet research (2024)

This study highlighted the potential role of LLMs in significantly improving health care data interoperability, demonstrated by their high accuracy and efficiency in data transformation and exchange. The LLMs hold vast potential for enhancing medical data exchange without complex standardization for medical terms and data structure.

Keyphrases

electronic health record
healthcare
big data
autism spectrum disorder
machine learning
artificial intelligence
deep learning
social media