Abstract: 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.