Group 1 - The core viewpoint of the news is the implementation of the "Smart Transformation Implementation Plan for the Pharmaceutical Industry (2025-2030)" by seven departments, aiming to accelerate the digital transformation of the pharmaceutical industry and integrate new generation information technology with the pharmaceutical supply chain [1] - The plan outlines significant progress in the digital transformation of the pharmaceutical industry, including the development and promotion of over 100 high-performance products in areas such as intelligent pharmaceutical equipment, testing instruments, and pharmaceutical software [1] - It aims to create over 100 typical application scenarios for smart technology in the pharmaceutical industry and establish more than 10 innovation platforms for pharmaceutical large models and verification platforms for smart technology applications [1] Group 2 - The plan emphasizes the importance of enhancing the research and application of smart products in the pharmaceutical industry, encouraging collaboration among local governments, parks, and leading enterprises to develop platforms for AI-assisted drug design, manufacturing, and supply chain [1] - It also highlights the need for high-quality data accumulation in manufacturing scenarios to enable the application of large models, advocating for the construction of pharmaceutical big data platforms by enterprises, medical institutions, and research institutes [2] - The implementation plan includes measures for data classification and management, establishing rules for data ownership, market transactions, and the protection of interests, while fostering specialized pharmaceutical data service companies [2]

事件：4月24日，工业和信息化部、商务部、国家卫生健康委、国家医保局、国家数据局、国家中医药局、国 家药监局等七部门近日联合印发《医药工业数智化转型实施方案（2025—2030年）》。《实施方案》提出以全 产业链协调发展为主线，以数智化改造为主攻方向推进医药工业高端化、智能化、绿色化、融合化发展。 1、两步走发展目标，2030年规上医药工业企业基本实现数智化转型全覆盖。 《实施方案》确立了分阶段推进的两步走发展战略，以 2027 年和 2030 年作为关键时间节点。2027年前，重点 聚焦于数智化发展的基础建设、转型推广以及支撑服务体系的搭建工作。在这一阶段，设定了涵盖关键技术突 破、技术标准制定、产品研发创新、应用场景拓展、数智转型企业及园区数量增长、医药大模型创新平台建设 及服务商培育等多维度的具体量化目标，力求实现医药工业数智化转型的重要阶段性突破，显著提升以数智技 术驱动的医药全产业链竞争力，以及全生命周期质量管理水平。到 2030 年，目标实现规模以上医药工业企业 数智化转型的全面覆盖，大幅增强数智技术的融合创新能力，进一步完善医药工业全链条数据体系，健全医药 工业数智化转型生态体系。 2、全产业链 ...