人工智能大语言模型在基层医疗卫生服务中的应用与挑战

The Application of Large Language Models in Primary Healthcare Services and the Challenges

基层医疗系统是实现健康公平的关键。我国面临医疗资源分布不平衡、基层医生数量短缺以及慢性病防治形势不容乐观的严峻挑战。人工智能大语言模型在医疗系统中发挥出了强大优势,本文深入探讨了大模型在基层医疗系统中的应用及其面临的挑战,提出应进一步深化大模型的应用,以辅助基层医生常见病诊疗,推动智能化健康教育和慢性病管理,托底“老少边穷”地区基层卫生服务,激发全科医学的飞跃性发展,并推进大模型在全科诊疗与基层卫生服务中的产业化,为健康中国建设提供重要支撑。

The primary healthcare system is key to achieving a health equity.In China,great obstacles are challenged by imbalanced medical resources,shortage of primary healthcare providers,and the prevention and treatment of chronic diseases.Artificial intelligence large language models have demonstrated strong advantages in the medical system.This article deeply explored the application of large language models in the primary healthcare system and the challenges.The large language models are expected to assist the diagnosis and treatment of common diseases in grassroot medical institutions,promote intelligent health education and chronic disease management,underpin primary health services in the undeveloped and remote areas,stimulate the leapfrog development of general medicine,and accelerate the industrialization of large language models in general diagnosis and treatment and primary health services,thus providing important support for the construction of healthy China.