数据要素赋能中医药高质量发展：机制与策略建议

Empowering High Quality Development of Traditional Chinese Medicine with Data Elements: Mechanisms and Strategic Suggestions

摘要: 随着数字技术的快速发展，数据要素正成为驱动中医药现代化与高质量发展的核心引擎。本文以数据要素赋能中医药全产业链转型为切入点，系统探讨其作用机制、现存问题及优化路径。研究表明，数据要素通过中药全产业链数智化重构、临床诊疗智能化升级、健康管理系统性变革、科研教育范式革新及文化传播国际化拓展五大维度，推动中医药产业从传统经验模式向精准化、标准化、智能化跃迁。然而，当前中医药数据应用仍面临关键挑战：数据标准化程度不足导致跨机构协作困难，数据共享机制缺失制约资源流通效率，隐私保护与数据安全风险亟待破解，国际标准话语权薄弱制约全球竞争力。针对上述问题，本文提出系统性策略建议：构建覆盖中药种植、生产、临床的全链条数据标准体系，建立市场化数据要素流通机制，打造基于区块链与隐私计算的可信安全框架，推动“政产学研用”协同创新生态建设，并积极参与国际标准制定以增强规则主导权。未来，随着中医药数字化转型的深化，数据要素将在提升服务效能、拓展产业边界、重塑国际竞争格局等方面释放更大潜能。

Abstract: The rapid advancement of digital technologies has positioned data elements as the central catalyst driving the modernization and high-quality development of traditional Chinese medicine (TCM). This study investigates the transformative mechanisms, existing challenges, and optimization strategies of data-empowered TCM industry chain restructuring. Research findings demonstrate that data elements propel the TCM sector’s evolution from empirical paradigms to precision-driven, standardized, and intelligent practices through five pivotal dimensions: digital-intelligent reconstruction of the herbal medicine industry chain, AI-enhanced clinical diagnostics, systemic transformation of health management, innovation in scientific research/education paradigms, and globalized cultural dissemination. Specifically, closed-loop data integration across cultivation, production, and distribution optimizes quality control efficiency; AI-assisted diagnosis systems synergize with TCM syndrome differentiation logic to refine clinical decisions; dynamic health monitoring enables personalized preventive interventions; multimodal research databases coupled with virtual simulation technologies accelerate knowledge inheritance and innovation; while digital narratives transcend cultural barriers to foster internationalization. Nevertheless, critical challenges persist in TCM data application: insufficient standardization impedes cross-institutional collaboration, inadequate sharing mechanisms constrain resource circulation efficiency, unresolved privacy-security dilemmas require urgent solutions, and limited influence in international standard-setting undermines global competitiveness. To address these issues, we propose a comprehensive strategic framework: establishing an end-to-end data standardization system spanning cultivation, manufacturing, and clinical practice; developing market-oriented data circulation mechanisms; constructing blockchain-based trusted security architecture with privacy-preserving computing; fostering collaborative “government-industry-academia-application” innovation ecosystems; and actively engaging in global standard formulation to strengthen regulatory leadership. The study emphasizes that synergistic integration of technological innovation and institutional reform, anchored in data element utilization, will catalyze the convergence of TCM knowledge systems with modern technologies, ultimately shaping a distinctive Chinese paradigm for intelligent TCM development. As digital transformation deepens, data elements are anticipated to unleash greater potential in enhancing service efficacy, expanding industrial boundaries, and reshaping the global competitive landscape.