中国全科医学 ›› 2025, Vol. 28 ›› Issue (02): 135-142.DOI: 10.12114/j.issn.1007-9572.2024.0453

• 指南·共识 • 上一篇    下一篇

智能全科医生中国专家共识

清华大学万科公共卫生与健康学院, 北京大学公共卫生学院, 中国医师协会全科医师分会   

  • 收稿日期:2024-09-26 修回日期:2024-10-09 出版日期:2025-01-15 发布日期:2024-10-28
  • 基金资助:
    科技创新2030——"新一代人工智能"重大项目(2021ZD0114100)

Chinese Expert Consensus on Artificial Intelligence General Practitioner (AIGP)

Tsinghua University Vanke School of Public Health, Peking University School of Public Health, Chinese Association of General Practitioners of Chinese Medical Doctor Association   

  • Received:2024-09-26 Revised:2024-10-09 Published:2025-01-15 Online:2024-10-28

摘要: 人工智能大语言模型等新技术的飞速发展给医学临床实践带来了新的变革。国内外已开始了智能全科医生系统的研究及实践探索,但尚未形成共识。在此背景下,清华大学万科公共卫生与健康学院、北京大学公共卫生学院联合中国医师协会全科医师分会及来自国内多家单位的全科医学、公共卫生、人工智能、循证医学等多学科领域的专家学者,在广泛检索国内外文献的基础上,经过多轮专家研讨,最终形成《智能全科医生中国专家共识》,从智能全科医生的定义、特点、应用、挑战与建议等方面形成17条专家共识,为促进智能科技赋能全科医生临床实践、提升基层卫生智慧化服务水平提供科学参考。

关键词: 人工智能, 大语言模型, 全科医生, 专家共识

Abstract:

The rapid development of new technologies such as artificial intelligence and large language models has brought new transformations to clinical medical practice. Both domestically and internationally, research and practical exploration of intelligent general practitioners have begun, but a consensus has yet to be formed. Against this backdrop, experts and scholars from Tsinghua University Vanke School of Public Health, Peking University School of Public Health, Chinese Association of General Practitioners of Chinese Medical Doctor Association and several other domestic institutions collaboratively developed a consensus. The background of these experts spans multiple disciplines, including general medicine, public health, artificial intelligence, and evidence-based medicine. Based on extensive literature review both domestically and internationally and through multiple rounds of expert discussions, the Chinese Expert Consensus on Artificial Intelligent General Practitioner (AIGP) was finally formulated. It includes 17 core consensus concerning the definition, characteristics, applications, challenges and recommendations of AIGP. This consensus aims to provide scientific references to promote the empowerment of general practitioners with intelligent technology and enhance the smart service level of primary healthcare.

Key words: Artificial intelligence, Large language model, General practitioners, Expert consensus

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