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

• URL: http://arxiv.org/abs/2412.09946v1
• Date: Fri, 13 Dec 2024 08:10:56 GMT
• Title: Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework
• Authors: Qiao Sun, Jiexin Xie, Nanyang Ye, Qinying Gu, Shijie Guo,
• Abstract summary: This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction.<n>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.
• Score: 9.201523682061753
• License: http://creativecommons.org/licenses/by-nc-nd/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 a dynamic 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.

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