摘要
随着医疗大数据时代的到来,循证医学的发展迎来了新的变革。本文介绍了数据驱动的循证医学思维定义,并阐释其为循证医学发展带来的变化。从越来越科学的原始证据来源、智能化的循证医学文献信息提取、基于AI的真实世界健康医疗数据分析、创新的临床科研专病数据库、基于AI的临床指南等场景,探讨了智慧化高质量循证医学证据的获取与应用过程,总结了循证医学证据质量的影响因素,包括数据集成、数据质量、技术偏差、数据安全和伦理、人才队伍等。
With the advent of the era of medical big data,new changes have occurred in the development of evidence-based medicine.This paper defines data-driven evidence-based medicine,and explains the changes it brings to evidence-based medicine.The intelligent evidence acquisition and utilization process of evidence-based medicine is discussed from more and more scientific original evidence sources,intelligent evidence-based medicine literature information extraction,AI-based real-world health and medical data analysis,innovative clinical research disease database,and AI-based clinical guidelines and other scenarios.The main factors affecting the evidence production of evidence-based medicine may involve data integration,data quality,technical deviation,data security and ethics,talent team and so on.
作者
范美玉
FAN Meiyu(Office of Information Management,The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangdong Provincial Hospital of Chinese Medicine,Guangzhou 510120,China)
出处
《协和医学杂志》
CSCD
2023年第1期39-43,共5页
Medical Journal of Peking Union Medical College Hospital
关键词
循证医学
数据驱动
大数据
学科交叉
evidence-based medicine
data-driven
big data
interdisciplinary
