Multimorbidity has become a major global public health challenge, and traditional single-disease management models are insufficient to address these complex health needs. Digital health technologies offer new opportunities for the management of multimorbidity. This review systematically examines the applications of digital intelligence in key domains of multimorbidity management, including risk identification and prediction, health management and patient empowerment, intelligent decision-making and intervention, as well as resource allocation and management optimization. The findings indicate that digital technologies are facilitating a shift in chronic disease management from a "single-disease orientation" toward "integrated multi-disease management", offering new paradigms for strengthening primary care-based prevention and treatment integration and precision health management. Looking forward, advancing digital health in multimorbidity care will require coordinated efforts in policy design, data security, technological adaptability, workforce development, and ethical governance to build a human-machine collaborative, sustainable and human-centered intelligent multimorbidity management system.

多种慢病共存已成为全球公共卫生的重大挑战，传统的单病管理模式难以满足复杂的健康需求。数智化技术为慢病共存管理带来新机遇。本文系统回顾了数智化技术在慢病共存管理核心领域的应用实践，包括风险识别与预测、健康管理与患者赋能、智能决策与干预以及资源调度与管理优化。总结显示，数智化技术正推动慢病管理从"单病导向"向"多病整合"转型，为医防融合和精准健康管理提供了新范式。未来应在制度设计、数据安全、技术适配性、人才培养和伦理治理等方面系统推进，构建人机协同、可持续、有温度的智慧慢病共存管理体系。