高质量循证医学证据获取与应用研究

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。

Research on High Quality Evidence Acquisition and Application of Evidence-based Medicine

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.