The rapid advancement of digital health technologies is facilitating a shift in health management from a reactive model to a proactive one. Grounded in the proactive health theoretical framework of "proactive sensing, proactive discovery, and proactive response," this study reviews the current application status, challenges, and future trends of digital health technologies in the field of proactive health. The study reveals that the application of these technologies in China faces multiple challenges, including limitations in sensing accuracy, data security risks, computational constraints, disconnections in model application, as well as regional digital divides and group-based technological disparities. Meanwhile, application trends are evolving toward full-lifecycle management, multi-dimensional data integration, upgraded demand for personalized services, expansion of remote scenarios, and ecological data sharing. Corresponding key technologies involve next-generation biosensing, multimodal data fusion and analysis, intelligent intervention and digital therapeutics, integrated remote medical platforms, and privacy-preserving computation technologies. To address these issues, this study proposes several targeted recommendations: improving the policy support system, strengthening core technology research, promoting equitable and inclusive technological development, establishing sound ethical standards and security mechanisms, and advancing the expansion of application scenarios along with industrial ecosystem integration. These recommendations aim to provide a solid theoretical foundation for constructing a technological pathway for full-lifecycle proactive health management in China, thereby offering key technical support, scientific decision-making basis, and practical safeguards for achieving the strategic goal of Healthy China and promoting population-wide health.