Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework

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Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo

Published: 24 Jan 2025, Last Modified: 25 Jan 2026Proceedings of the 31st International Conference on Computational LinguisticsEveryoneCC BY 4.0
Abstract: This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction. We introduce a novel Chinese nursing dataset and implement incremental pre-training (IPT) and supervised fine-tuning (SFT) techniques to enhance LLM performance in specialized tasks. Using LangChain, we develop an interactable nursing assistant capable of real-time care and personalized interventions. Experimental results demonstrate significant improvements, paving the way for AI-driven solutions to meet the growing demands of healthcare in aging populations.