过去，患者在不同医院间就诊时，通常需要自行携带厚重的物理胶片袋，不仅容易丢失或损坏，还有可 能导致不必要的重复检查。为解决这一问题，国家医保局自2024年起推动检查结果跨省互认，医保影像 云工程的核心就是构建一个能让影像数据在全国安全存储、便捷调阅的数字化平台。今年11月，全国跨 省调阅服务启动，部分省份医生在诊室已可实时调阅外地患者的原始影像。该系统的快速推进，得益于 相关价格机制的调整。 本报讯（记者柴嵘）国家医保局昨天介绍，全国医保影像云平台已累计归集医学影像索引数据超过2.5 亿条，这标志着医保影像基础数据 "全国一张网"已经初步建成。 ...

Group 1 - The core achievement of iFlytek Medical is winning the first prize at the 2025 National Smart Medical Insurance Competition for their project on the data value chain and industry ecosystem empowerment based on the medical insurance imaging cloud platform [1] - The platform has connected over 1,900 medical institutions in Anhui Province, securely storing over 140 million imaging data and completing over 10.8 million remote diagnoses, saving approximately 2 billion yuan in medical insurance examination costs annually [1] - The platform is the first local imaging cloud platform to connect with the national medical insurance platform, showcasing its innovative approach in the field of smart medical insurance [1] Group 2 - iFlytek Medical's victory highlights its technological strength and accelerates the replication and promotion of its business model [2] - With the deepening of national policies on "Artificial Intelligence + Healthcare," iFlytek Medical is expected to leverage its strong foundation in core scenarios such as medical insurance, hospitals, and grassroots healthcare to accelerate market expansion [2] - The company aims to achieve high-quality growth in the smart healthcare sector by utilizing financing channels expanded through its Hong Kong stock listing [2]

Core Insights - The 2025 National Smart Medical Insurance Competition finals results were announced, with iFlytek Medical (2506.HK) winning first prize for its project on the "Insurance Imaging Cloud Platform" [1] Group 1: Project Achievements - The project received national-level authoritative recognition for its comprehensive innovation in system design, technology application, and governance effectiveness [1] - The Anhui Medical Insurance Imaging Cloud Platform, initiated in 2021, has connected over 1,900 medical institutions in the province [1] - The platform has securely stored over 140 million imaging data cases and completed over 10.8 million remote diagnoses, with a daily consultation volume exceeding 8,000 cases [1] Group 2: Cost Savings and Efficiency - The platform has achieved a 90% reduction in the use of physical film and saved approximately 2 billion yuan annually in medical insurance examination-related costs [1] - It is the first local platform to successfully connect to the National Medical Insurance Information Platform and enable cross-province data retrieval [1] Group 3: Technological Advancements - The platform is advancing the paradigm shift in imaging diagnosis through artificial intelligence, moving beyond single-disease AI limitations [1] - It is developing a comprehensive multimodal medical imaging model that supports automatic recognition and quality control of multiple diseases within the same image [1] - The platform is accelerating the transformation of medical imaging model technology and inviting national medical research teams to participate in co-creation [1]

Core Insights - The article discusses the rapid advancement of medical imaging data sharing among hospitals in China, with 20 provinces having completed the deployment of medical insurance imaging cloud software by October 2023, aiming for nationwide data sharing by the end of 2027 [1] Group 1: Policy and Implementation - The implementation of the guidelines issued by the National Health Commission and other departments on November 27, 2024, has set a clear timeline and roadmap for mutual recognition of medical examination results [1] - The National Medical Insurance Administration has incentivized hospitals to upload imaging data to the cloud platform by reducing the price of related radiological examination items by 5 yuan if they fail to provide compliant digital imaging services [1] Group 2: Challenges and Concerns - There are concerns regarding the misuse of medical big data due to local governments treating the imaging cloud platform as an economic development opportunity, potentially compromising patient privacy and national data security [2] - Some local governments are attempting to build advanced imaging cloud platforms without a proper funding mechanism, which may burden public hospitals already under financial pressure [2] - The lack of ongoing operational management for the imaging cloud platforms, as local government departments focus only on initial construction, leads to maintenance issues and inefficiencies [2] Group 3: Solutions and Recommendations - Two approaches are suggested for addressing the funding mechanism for imaging cloud platforms: an administrative approach that allows savings from reduced healthcare costs to support platform operations, and a market-oriented approach that involves third-party operators in data commercialization [2][3] - High-quality imaging diagnostics face challenges, such as limited data retention periods and inconsistent equipment standards across hospitals, which can affect the accuracy of diagnoses and treatment [3][4] - A differentiated data storage strategy is recommended, where critical imaging data is retained longer than less relevant data, to balance long-term patient management needs with short-term verification requirements [4]