智通财经APP获悉，如何让复杂的临床试验对参与者更"友好"，对管理者更"高效"？动动手指，临床试 验的访视安排、报销进度、用药服务即可一键掌握——这已不再是设想。近日，医渡科技(02158)与北 京大学肿瘤医院联合打造的临床试验管理体系(CTMS)移动端——"北肿临床试验"小程序正式上线。这 不仅将"以患者为中心"的理念落到了实处，更标志着临床试验管理在参与者体验、数据安全与执行效率 上实现了全面升级。 体验三大升级：让临床试验参与"省心又安心" 本次新上线的CTMS小程序是以试验参与者体验为出发点，实现从"管理导向"向"服务导向"的升级突 破，其深度融入微信生态，在移动端场景下为试验参与者带来了诸多便利： 在此坚实而广泛的合作基础上，CTMS临床研究管理系统作为一个符合GCP标准的全链路数智化管理平 台，为北肿提供了从项目立项、执行到结题的一站式解决方案。其价值已在实践中得到充分验证：通过 系统的流程标准化与全周期精细管控，北肿临床试验项目的平均立项启动时间显著缩短，效率优于行业 平均水平。 这一系列以参与者为中心的改进，标志着临床试验数字化从侧重机构内部流程管理，向兼顾外部参与者 服务体验的成功延伸。 该 ...

Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and announced significant achievements from the National AI Application Pilot Base in Beijing [1] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis and accelerating biopharmaceutical manufacturing [2] - The pilot base released four key achievements in precision diagnosis, including a secure medical data space service, a comprehensive medical data annotation service, and a unified AI application promotion service [2][3] Group 2: Collaboration and Partnerships - The seminar facilitated efficient connections between hospitals, research institutions, and pharmaceutical companies, resulting in several cooperation agreements [3] - The pilot base collaborated with three major hospitals to release significant results, including an ultrasound diagnostic model for cardiovascular diseases and an AI system for liver and gallbladder diagnostics [4] Group 3: Advancements in Biopharmaceutical Manufacturing - The pilot base introduced two major achievements aimed at improving pharmaceutical manufacturing efficiency, including a public service platform for drug development and a clinical trial management system [3]

Core Insights - The "Artificial Intelligence + Healthcare" seminar successfully took place during the 2025 China International Service Trade Fair, focusing on the integration of AI and healthcare, and promoting collaboration among government, industry, academia, and medical sectors [1] - The seminar highlighted significant achievements from the National AI Application Pilot Base in Beijing, covering areas such as precision diagnosis and drug development, contributing to the dual development of healthcare and AI [1][3] Group 1: AI Applications in Healthcare - Over a hundred AI applications have been developed, covering 30 critical clinical scenarios, enhancing precision diagnosis efficiency and accelerating biopharmaceutical manufacturing innovation [3][4] - The AI applications include a comprehensive management platform for medical data annotation, ensuring efficient and authoritative data labeling, and a unified management service for AI applications [4] Group 2: Achievements in Precision Diagnosis - The pilot base released four key achievements in precision diagnosis, including a secure data space service for medical data, a medical data annotation service, and a promotion service for AI applications [4] - Collaborations were established between hospitals and companies, facilitating resource linkage and enhancing the operational efficiency of AI applications in clinical settings [4][6] Group 3: Innovations in Biopharmaceutical Manufacturing - In the biopharmaceutical manufacturing sector, the pilot base introduced two major innovations: an AI drug development public service platform and a Clinical Trial Management System (CTMS) [5] - These innovations aim to improve the efficiency of drug manufacturing and streamline clinical research processes, enhancing overall quality and effectiveness [5] Group 4: Collaborative Efforts and Ecosystem Development - The seminar featured collaborative achievements with major hospitals, focusing on the development of AI models for cardiovascular diagnostics and liver disease management, showcasing the integration of clinical needs with technological advancements [6] - The establishment of an ecosystem involving hospitals, research institutions, and technology companies aims to create a win-win scenario for the AI healthcare industry [7]