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金域医学赋能紧密型医共体建设,助力县域医疗数智化升级
Quan Jing Wang· 2026-02-26 09:18
2月3日,2026年中央一号文件《中共中央国务院关于锚定农业农村现代化扎实推进乡村全面振兴的意见》正式发布,对农村卫生健康体系建设、基层医疗服 务能力提升以及紧密型县域医共体发展提出了更加明确的方向。在政策持续推动基层医疗高质量发展的背景下,如何通过专业化与数字化手段提升县域医疗 服务能力,成为行业关注的重点。作为第三方医检行业领军企业, 金域医学 围绕集约化共享、专业化服务与数智化升级,持续探索适配县域医疗发展的整 体解决路径,为紧密型医共体建设提供系统性支撑。 整合区域信息平台,实现医疗数据互联互通 | | | 在赋能县域医疗的数智化转型方面,金域医学构建了"五位一体"的数智化方案。该方案以县域检验中心与病理诊断中心两大共享平台为基石,深度融合了供 应链、实验室与质量管理等系统,并针对具体临床场景开发部署了系列智能应用。通过这一立体化架构,实现了区域医疗资源的数字化高效协同与智能化精 细运营。方案向上能够无缝对接政府卫生监管与决策系统,赋能区域智慧化监管与疾病主动防控;向下则致力于构建覆盖居民全生命周期的健康管理服务, 提升医疗系统的运行效率与服务品质。 打造示范应用模式,探索县域医疗发展新路径 依托覆盖 ...
肇庆封开打造广东首个县域人工智能诊疗平台
Core Insights - The launch of the AI-assisted diagnosis platform in Zhaoqing's Fengkai County marks the first county-level AI healthcare initiative in Guangdong Province, aimed at addressing issues of insufficient medical resources and uneven diagnostic capabilities for 500,000 residents [1][2] Group 1: Project Overview - The platform is built on the "five-in-one" digital solution from Kingmed Medical, integrating three leading county hospitals and 16 township health centers [1] - The primary application of the platform is in outpatient and inpatient disease diagnosis, serving as an auxiliary tool under the guidance of physicians [1] Group 2: Functionality and Benefits - After patient consultations, doctors input patient information into the AI system, which utilizes big data to provide standardized treatment plans for common and frequently occurring diseases [1] - For complex cases, the AI offers differential diagnosis directions and identifies additional necessary examinations [1] Group 3: Data Integration and Collaboration - Fengkai County has established a "shared hub" to integrate medical data from county and township-level institutions, facilitating real-time access to patient test reports for doctors [2] - The platform supports operational management, quality control, public health monitoring, and interconnectivity of information across medical institutions, promoting efficient collaboration among community healthcare members [2]
广东省首个县域人工智能辅助诊疗平台落地肇庆封开
Zheng Quan Ri Bao· 2026-01-15 07:13
Core Insights - The integration of artificial intelligence in grassroots healthcare is seen as a new pathway to enhance the construction of county-level medical communities and address capability shortcomings [1][2] Group 1: AI Platform Launch - The launch of the AI-assisted diagnostic platform in Fengkai County, Guangdong, marks the establishment of the first county-level AI healthcare platform in the province, aimed at improving access to quality medical resources [1] - The platform will connect 19 county hospitals and township health centers, creating a model for "smart healthcare" that can be quantified, replicated, and promoted across the province and nation [1][2] Group 2: Data Sharing and Integration - The platform focuses on building a "data sharing hub" to connect hospitals and grassroots testing and pathology information systems, enhancing regional medical service capabilities [2] - Gold Domain Medical, as a co-builder of the regional testing and pathology center, is integrating medical data from county and township institutions into a centralized management platform [2] Group 3: AI Applications in Healthcare - The platform will utilize Gold Domain Medical's proprietary AI models and applications to embed intelligent features into hospital workflows, providing clinical doctors with tools for report interpretation, project evaluation, and medication assistance [3] - The integration of AI tools aims to significantly enhance the convenience of diagnosis and treatment processes for healthcare providers [3] Group 4: Strategic Goals and Future Plans - The establishment of the AI-assisted diagnostic platform is a key initiative for Fengkai County to implement the "Healthy China" strategy and the "Hundred Counties, Thousand Towns, and Ten Thousand Villages" project [3] - Future plans include the creation of a "Gold Domain-Fengkai Medical AI Research Training Center" to enhance the understanding and application of AI tools among regional medical personnel [3]