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]

Group 1 - The core viewpoint of the article emphasizes the digital transformation of the traditional Chinese medicine (TCM) industry through the integration of artificial intelligence and digital technologies to enhance drug development efficiency and production capabilities [1][3]. - The Ministry of Industry and Information Technology, along with six other departments, has jointly issued the "Implementation Plan for the Digital Transformation of the Pharmaceutical Industry (2025-2030)", outlining typical application scenarios for TCM and a list of digital transformation scenarios [1]. - The TCM industry has established a traceable data platform covering over 100 key Chinese medicine enterprises and 113 commonly used Chinese medicinal materials, laying a foundation for the development of digital TCM [1]. Group 2 - The article suggests that the TCM industry should focus on data mining and decision model research to improve the quality, efficiency, and effectiveness of traditional medicine innovation through the establishment of large databases [2]. - It highlights the need for intelligent design applications in TCM production, combining high-quality process data with mathematical modeling or AI algorithms to enhance process reliability and controllability [2]. - The article calls for the development of intelligent pharmaceutical equipment and software tailored to the characteristics of TCM production, as well as the digital transformation of medical institutions to create a comprehensive digital TCM service model [2]. Group 3 - Post-digital transformation, the TCM industry can leverage AI to enhance new drug development efficiency, utilize digital workshops for real-time process parameter control, and implement intelligent logistics and blockchain for transparent drug distribution management [3]. - These advancements are expected to drive the TCM industry towards higher-end, intelligent, and environmentally friendly practices [3].

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 ...

Group 1 - The core viewpoint of the article emphasizes the strengthening of research and application of intelligent products in the pharmaceutical industry as outlined in the "Implementation Plan for the Digital Transformation of the Pharmaceutical Industry (2025-2030)" issued by the Ministry of Industry and Information Technology and six other departments [1] - The plan includes organizing "challenge" initiatives for pharmaceutical digital solutions and technology products, targeting the production characteristics of various sub-sectors such as chemical drugs, traditional Chinese medicine, biological products, and medical devices [1] - The initiative aims to develop a series of intelligent pharmaceutical equipment and testing devices, as well as to create "small, fast, light, and precise" pharmaceutical industrial software or systems that comply with the Good Practice (GXP) quality management system [1]