An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study.

The pipeline exhibited consistent performance across different LLMs and efficiently extracted clinical features from textual data. It also showed reliable performance on consumer-grade hardware. This approach offers a viable and effective solution for mining clinical research data from textual records.