Development and Evaluation of Large Language Model-Assisted Semi-Automated Data Harmonization Pipeline for the Multiple Chronic Disease Disparities Research Consortium: A Proof-of-Concept Study.
BACKGROUND The increasing availability of machine-readable research data has created a growing need for efficient large-scale data harmonization (DH). Although large language models (LLMs) show promise for reducing the time and labor required for DH, their effective integration into harmonization workflows remains an i...