医保影像云跨省调阅
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异地就医进入“云”影像时代
Jing Ji Ri Bao· 2025-12-08 00:55
"国家医保局推进全国医保影像云跨省调阅,已针对性解决上述问题。"付超奇介绍,全国医保统一 的信息平台覆盖全国100多万家定点医疗机构,覆盖全国超13亿参保人每年约100亿次看病就医购药行 为。今年,国家医保局出台医保影像云索引规则,为每份影像资料赋予78位全国统一编码,通过该编码 可以一键定位患者做检查的医院、时间及对应影像,彻底解决"找不着"问题;依托全国统一平台汇总各 地影像索引,"调不顺"的问题也同步化解。同时,医保定价政策明确,各地医保部门可以将影像本地存 储、跨地传输纳入数字化耗材集中采购范畴,无需地方财政额外投入,实现在医保体系内闭环推进。 医保影像跨省调阅后的信息安全问题,是患者比较关心的话题。据介绍,目前,医生查阅患者异地 医疗机构的影像资料,必须获得患者授权:一种是患者通过全国医保码扫码授权;另一种是针对老年患 者或不便使用智能手机的患者,由医生协助病人完成授权。付超奇表示,参保人信息存储于医保信息平 台,安全等级和保护要求非常高,且数据使用全程需要得到个人授权,医保影像云跨省调阅并未增加额 外信息安全风险。 公众关注的跨省调阅覆盖范围也有明确规划。付超奇介绍,我国力争2027年底前实现全国 ...
“小切口”撬动“大民生” 影像“上云”破解“百姓就医痛点
Yang Shi Wang· 2025-11-28 00:04
Core Points - The National Medical Insurance Administration has launched a nationwide medical insurance imaging cloud service for cross-province retrieval, allowing patients to access their imaging data without carrying physical copies [1][3] - The pilot program at Peking University Third Hospital has established cross-province retrieval with five cities, including Sanming in Fujian and Xiong'an in Hebei [2] - The imaging cloud system enhances the efficiency of medical diagnosis and treatment by providing a unified platform for storing and retrieving imaging data, which includes CT, MRI, and X-ray images [3] Summary by Sections - **Implementation and Benefits** - The imaging cloud service resolves the issue of disconnected imaging data between hospitals, facilitating easier access for patients and improving diagnostic efficiency for doctors [3] - The system is built on a national unified medical insurance information platform, allowing patients to access their imaging data for free via mobile devices [3] - **Technical Aspects** - A nationwide unified platform and indexing standard are essential for timely retrieval of imaging data stored in various locations [3] - The storage and transmission of imaging data require significant resources, and a sustainable operational mechanism is necessary for effective nationwide implementation [3] - **Current Status and Future Outlook** - As of now, 26 provinces and regions, including Beijing, Hebei, and Shanxi, have deployed the medical insurance imaging cloud software, with cross-province retrieval already achieved in several areas [3] - The goal is to establish a "national network" by 2027, enhancing the accessibility of medical imaging data across the country [3]
看病不再重复检查,全国医保影像云跨省调阅启动
Xin Jing Bao· 2025-11-20 12:43
Core Points - The National Medical Insurance Administration (NMIA) launched a nationwide medical insurance imaging cloud for cross-province retrieval, allowing patients' digital imaging data to be uploaded to a recognized storage center for easy access across regions and institutions [1][3][4] - As of November 20, the NMIA has collected over 170 million medical insurance imaging index records [2] - The initiative aims to address the issue of repeated medical examinations when patients seek care in different hospitals, especially across provinces, thereby improving patient experience and reducing unnecessary costs [3][4] Group 1 - The NMIA is focused on resolving challenges related to the accessibility and sharing of imaging data, including difficulties in finding data, high costs, and slow retrieval processes [3][4] - By the end of 2027, the NMIA aims to establish a unified national medical insurance imaging cloud network [4][5] - The Beijing University Third Hospital (Peking University Third Hospital) has already implemented five cross-province retrieval routes, enabling access to imaging data from various regions [3][5] Group 2 - As of November 18, 24 provinces and the Xinjiang Production and Construction Corps have completed the deployment of medical insurance imaging cloud software, enabling cross-province retrieval capabilities [7] - The NMIA has initiated a centralized procurement model for cloud imaging services, which will not increase the financial burden on local governments [5][6] - The Peking University Third Hospital has enhanced its information system to support cross-regional imaging retrieval and is working on improving user experience and data security [8]