1月12日，久远银海涨5.17%，截至发稿，报21.36元/股，成交6427.44万元，换手率0.74%，总市值87.20 亿元。 资料显示，四川久远银海软件股份有限公司位于四川省成都市三色路163号，成立日期2008年11月24 日，上市日期2015年12月31日，公司主营业务涉及以人力资源和社会保障为核心的民生信息化领域软件 产品、运维服务和系统集成。主营业务收入构成为：运维服务49.40%，软件34.76%，系统集成 15.60%，其他(补充)0.24%。 南方中证1000ETF（512100）基金经理为崔蕾。 截至发稿，崔蕾累计任职时间7年68天，现任基金资产总规模1227.6亿元，任职期间最佳基金回报 234.52%， 任职期间最差基金回报-15.93%。 风险提示：市场有风险，投资需谨慎。本文为AI大模型自动发布，任何在本文出现的信息（包括但不 限于个股、评论、预测、图表、指标、理论、任何形式的表述等）均只作为参考，不构成个人投资建 议。 责任编辑：小浪快报 从久远银海十大流通股东角度 数据显示，南方基金旗下1只基金位居久远银海十大流通股东。南方中证1000ETF（512100）三季度减 持1.6 ...

Summary of Jiuyuan Yinhai Conference Call Company Overview - **Company**: Jiuyuan Yinhai - **Industry**: Information Technology and Healthcare Services Key Points and Arguments Industry and Market Dynamics - Jiuyuan Yinhai benefits from the construction of information systems in public welfare sectors despite fiscal tightening, supported by special bonds and fiscal assistance [2][3] - The company has seen a year-on-year increase of approximately 5% in signed and pending orders in healthcare, medical insurance, digital governance, and smart city sectors [2][4] Financial Performance - In the first half of 2025, Jiuyuan Yinhai's revenue grew by 11% year-on-year, with net profit attributable to shareholders increasing by 160% [3][11] - Cash flow from operating activities rose by about 35% compared to the same period last year, indicating strong performance in the public welfare information sector [3] Growth Areas - Significant growth in the medical insurance business, with a year-on-year increase of 30%-35% to approximately 180 million yuan, and smart city business revenue surged nearly 400% due to large project completions and new demands from the national medical insurance information platform [5][11] - The company is actively expanding into data elements and AI healthcare, indicating future growth potential [4][12] Future Outlook - The second half of the year is critical for revenue confirmation, with many project verifications concentrated in this period. The company expects strong performance by year-end due to improved government payment capabilities and smoother local government operations [6][13] - The 14th Five-Year Plan is concluding, and the 15th Five-Year Plan is set to start, with expectations for more targeted policies and information construction directions in the healthcare and human resources sectors [7][14] AI and Data Integration - Jiuyuan Yinhai is fully engaged in AI, particularly in core medical insurance, regulation, payment methods, and services, aiming to enhance competitiveness in the healthcare sector [9][10] - The company has established an AI evaluation and validation capability system to support its core medical AI capabilities [10] Project Management and Efficiency - The company has reduced its workforce from approximately 4,800 to below 4,000 through refined management, enhancing performance and per capita productivity [5][17] - Internal information technology improvements and modular application development are being utilized to increase efficiency and reduce reliance on personnel [18][19] Government Support and Policy Impact - The issuance of special bonds is expected to increase, with local governments likely to boost spending on public welfare projects, including information construction [13][20] - The national emphasis on high-quality construction and standardization in information technology is anticipated to benefit companies like Jiuyuan Yinhai in securing new projects and managing costs effectively [20] Pilot Projects and Innovations - The company is expanding pilot projects in Tianjin and other cities, focusing on data services for commercial insurance and real estate sectors, which have garnered positive feedback from local governments [15][16] Additional Important Insights - The company is preparing for the integration of data elements on a national scale, with early-stage pilot projects showing promise for future applications [8][14] - The involvement of major internet companies in the Beijing model for medical insurance services is expected to accelerate the development of data elements [8]