香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性 或完整性亦不發表任何聲明，並明確表示，概不就因本公告全部或任何部分內容所產生或因依 賴該等內容而引致的任何損失承擔任何責任。 Jiangxi Rimag Group Co., Ltd. 江西一脈陽光集團股份有限公司 （於中華人民共和國註冊成立的股份有限公司） （股份代號：2522) 自願公告 與慶陽市政府及影禾醫脈訂立戰略框架合作協議 本公告由江西一脈陽光集團股份有限公司（「本公司」，連同其附屬公司統稱「本集 團」）董事（「董事」）會（「董事會」）自願作出，以知會本公司股東及潛在投資者本 集團最新的業務發展狀況。 董事會欣然宣佈，本公司近日與甘肅省慶陽市人民政府（「慶陽市政府」）以及本公 司孵化的醫學影像人工智能公司上海影禾醫脈智能科技有限公司（「影禾醫脈」）訂 立戰略框架合作協議。根據該戰略框架合作協議，三方擬就建設共享醫學影像中 心、影響雲索引互聯互通互認平台和醫療健康可信數據空間開展戰略合作（「戰略 合作」）。戰略合作將通過建設區域共享型影像診斷中心與數字化平台，有效整合 醫療資源，為當地醫療機構提供標準化、高質量的醫學 ...

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]