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在医疗健康产业数智化升级的进程中，临床数据管理正迎来前所未有的变革与发展契机。随着人工智能、大数据和数字化技术的深度融入，数据管理的智能化水平不断提升，同时，行业对数据质量、隐私保护和法规合规的要求也愈发严格。这种趋势不仅推动了临床数据管理从向高效、精准、规范化的方向发展，也催生了新的技术应用场景和业务模式，为从业者和企业带来了全新的挑战与机遇。

In the process of digital and intelligent transformation of the healthcare industry, clinical data management is facing unprecedented changes and opportunities. With further integration of artificial intelligence, big data, and digital technologies, the level of intelligence in data management is improving continuously. At the same time, the industry’s requirements for data quality, privacy protection, and regulatory compliance are becoming increasingly stringent. This trend not only drives clinical data management towards higher efficiency, precision, and standardization but also gives rise to new technological application scenarios and business models, bringing new challenges and opportunities for CDM professionals and their enterprises.