协和医学杂志

2021, v.12(01) 114-121

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人工智能如何改变指南的未来
How Will Artificial Intelligence Lead the Future of Clinical Practice Guidelines

陈耀龙;罗旭飞;史乾灵;吕萌;周奇;王健健;杨楠;高东平;杨书;商洪才;杨克虎;
CHEN Yao-long;LUO Xu-fei;SHI Qian-ling;LYU Meng;ZHOU Qi;WANG Jian-jian;YANG Nan;GAO Dong-ping;YANG Shu;SHANG Hong-cai;YANG Ke-hu;School of Public Health, Lanzhou University;Lanzhou University Institute of Health Data Science;Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University;WHO Collaborating Center for Guideline Implementation and Knowledge Translation;Lanzhou University, an Affiliate of the Cochrane China Network;The First Clinical Medical College, Lanzhou Uni

摘要(Abstract):

近年来,人工智能的快速发展和进步对医学领域的影响日益加深。科技部发布的人工智能指南明确提出要加大人工智能技术在医药卫生领域应用的支持力度。临床实践指南作为医疗实践的重要指导性文件,可以规范医务人员的诊疗行为,缩小最佳研究证据与当前实践之间的差距,具有重要意义和价值。如何利用人工智能技术加速指南的制订流程,提高其制订效率,创新其传播与实施模式,乃至改变指南的未来发展,已引起国内外学者的广泛关注。本文就人工智能在临床实践指南领域的应用现状和发展前景进行分析和讨论,并在此基础上提出促进人工智能与临床实践指南结合的思考与建议。
In the past decades, with the rapid development and progress of artificial intelligence(AI), its impact on the field of medicine is deepening. The AI guideline released by the Ministry of Science and Technology of the People's Republic of China also suggested increasing support for the application of AI in medicine. As an important guiding document in medical practice, clinical practice guidelines are of great significance and value in regulating the behavior of healthcare professionals and bridging the gap between the best evidence of research and current practice. How to use AI to accelerate the development process, improve efficiency, innovate the format of dissemination and implementation, and even lead the future of clinical practice guidelines has received more attention from researchers all over the world. This paper analyzed and discussed the current situation and prospects of AI in clinical practice guidelines. We also proposed ideas and suggestions on how to promote the integration of AI and guidelines.

关键词(KeyWords): 临床实践指南;人工智能;机器学习;大数据
clinical practice guideline;artificial intelligence;machine learning;big data

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基金项目(Foundation): 国家重点研发计划(2018YFC1705500)~~

作者(Author): 陈耀龙;罗旭飞;史乾灵;吕萌;周奇;王健健;杨楠;高东平;杨书;商洪才;杨克虎;
CHEN Yao-long;LUO Xu-fei;SHI Qian-ling;LYU Meng;ZHOU Qi;WANG Jian-jian;YANG Nan;GAO Dong-ping;YANG Shu;SHANG Hong-cai;YANG Ke-hu;School of Public Health, Lanzhou University;Lanzhou University Institute of Health Data Science;Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University;WHO Collaborating Center for Guideline Implementation and Knowledge Translation;Lanzhou University, an Affiliate of the Cochrane China Network;The First Clinical Medical College, Lanzhou Uni

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