新京报讯（记者戴轩）西城区两会于近日开幕，记者从会上获悉，去年西城区人均期望寿命达到85.05 岁，孕产妇死亡率0/10万。 在医疗服务体系方面，该区在北京市率先建成覆盖11家区属医院的一体化信息系统，全面打通数据壁 垒，累计落地20余项智慧医疗应用场景，居民非诊疗就医时间平均缩短30-40分钟。 2026年，该区将开展"卫生健康数智赋能行动"，依托一体化平台，构建健康大数据与人工智能底座，围 绕"居民少跑腿、监管更智能"目标，推动更多"AI +医疗"健康应用场景落地。 西城区委卫健工委书记、区卫健委主任焦扬介绍，2025年，西城区人均期望寿命达到85.05岁，孕产妇 死亡率0/10万，婴儿死亡率1.38‰，法定传染病发病率较2024年同期下降27.5%，在全国率先落实育儿 补贴政策，惠及0-3岁婴幼儿3万余名。 ...

Core Insights - Ant Group and West China Hospital are collaborating to advance scientific research and service system construction focused on chronic diseases, particularly respiratory diseases, leveraging clinical experience and technological capabilities [2][3] Group 1: Collaboration Focus - The partnership will concentrate on four main areas: cutting-edge technology research and application development for respiratory diseases, optimizing medical payment services, enhancing patient experience through streamlined medical processes, and establishing a standardized data governance system [3] Group 2: AI and Healthcare Integration - Since its entry into AI healthcare in 2023, Ant Health has formed partnerships with several top medical institutions, including Peking University Third Hospital and Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital [2]

Group 1 - The 31st China International Medical Instrument and Equipment Exhibition and Technical Exchange Conference will be held in Beijing from August 15 to August 17, 2025, featuring a seminar on AI in healthcare [1] - The seminar aims to leverage AI technology to create a "Health Silk Road," breaking down barriers in medical resource allocation and enhancing the efficiency of healthcare services across regions [2] - Multiple initiatives were launched during the seminar, including the establishment of a global children's early diagnosis and treatment AI innovation ecosystem, contributing to the construction of the "Health Silk Road" [2] Group 2 - The "Xihe No. 1" medical model, developed by Peking University Third Hospital and other partners, has been a focal point, utilizing 1 million real clinical cases and featuring over 100 billion parameters [3] - The model's training data comes from 18 medical institutions, ensuring high accuracy and compliance, with a medical knowledge coverage rate of 98% and precision rate exceeding 90% [4] - The model aims to address high misdiagnosis rates in cardiovascular diseases and improve diagnostic efficiency in primary care settings [5] Group 3 - The company is building an AI + healthcare ecosystem that encompasses data, models, and clinical applications, focusing on rapid translation of research outcomes into practical applications [6] - The company is also exploring AI-enabled hardware products to meet healthcare service demands, indicating a broadening of its service offerings [6] - The company has formed strategic partnerships to enhance data quality and application in AI medical models, aiming to serve over 100 million patients within three years [8][9]

Group 1 - The 31st China International Medical Instrument and Equipment Exhibition and Technical Exchange Conference will be held in Beijing from August 15 to August 17, 2025, featuring a seminar on AI in healthcare [1] - The seminar aims to leverage AI technology to create a "Health Silk Road," breaking down barriers in medical resource allocation and enhancing the efficiency of healthcare services across regions [2] - Multiple initiatives were launched during the seminar, including the establishment of a global children's early diagnosis and treatment AI innovation ecosystem, contributing to the construction of the "Health Silk Road" [2] Group 2 - The "Xihe No. 1" medical model, developed by Peking University Third Hospital and other partners, has been highlighted, featuring over 100 billion parameters and a 98% coverage rate of medical knowledge [3] - The model's training data is sourced from 18 medical institutions, ensuring high accuracy and compliance, with a reported error rate of less than 10% [4] - The model addresses significant issues in cardiovascular disease diagnosis, where traditional methods have high misdiagnosis rates [5] Group 3 - The company is focused on building an AI + healthcare ecosystem that spans various fields, including omics research and drug development, to accelerate the translation of research outcomes [6] - The company is also exploring AI-enabled hardware products to meet healthcare service demands [6] - The company aims to serve over 100 million patients within three years and establish a global AI collaboration network for shared medical wisdom [9] Group 4 - The company, Tianjin TEDA Biomedical Engineering Co., Ltd., is committed to optimizing medical resource allocation through AI technology [8] - The company has formed strategic partnerships to enhance data quality and application in AI medical models [8] - The company plans to continue its exploration in the AI + healthcare sector, collaborating with various stakeholders to improve healthcare access and quality [9]

Core Viewpoint - The Hang Seng Healthcare Index (HSHCI) has shown strong performance, with significant gains in constituent stocks, indicating a positive trend in the healthcare sector [3]. Group 1: Market Performance - As of July 4, 2025, the HSHCI rose by 1.19%, with notable increases in stocks such as Huahao Zhongtian Pharmaceutical-B (02563) up 16.34% and Kangfang Biotech (09926) up 8.67% [3]. - The Hang Seng Healthcare ETF (513060) increased by 0.86%, with a latest price of 0.59 yuan, and has seen a cumulative increase of 3.57% over the past week [3]. - The ETF recorded a turnover rate of 18.66% during the trading session, with a transaction volume of 1.516 billion yuan, indicating active market participation [3]. Group 2: Investment Opportunities - Huatai Securities suggests that AI is expected to reshape drug development and healthcare service delivery, with increasing applications in the medical field, highlighting potential investment opportunities by 2025 [4]. - The Hang Seng Healthcare ETF has seen a significant growth in scale, with an increase of 191 million yuan over the past week, ranking in the top third among comparable funds [4]. - Leveraged funds are actively investing, with the latest financing buy-in amounting to 291 million yuan and a financing balance of 277 million yuan [4]. Group 3: Performance Metrics - The Hang Seng Healthcare ETF has achieved a net value increase of 18.78% over the past two years, with a maximum monthly return of 28.34% since inception [4]. - The ETF has outperformed its benchmark with an annualized excess return of 1.73% over the past year, and a Sharpe ratio of 1.85 as of June 27, 2025 [4]. - The ETF has the lowest drawdown among comparable funds, with a relative drawdown of 0.45% year-to-date [4]. Group 4: Fee Structure and Valuation - The management fee for the Hang Seng Healthcare ETF is 0.50%, and the custody fee is 0.15% [5]. - The ETF's tracking error over the past year is 0.069%, the highest tracking precision among comparable funds [5]. - The latest price-to-earnings ratio (PE-TTM) for the HSHCI is 27.68, indicating a valuation below 90.41% of the historical data over the past three years, suggesting it is at a historical low [5]. Group 5: Index Composition - The top ten weighted stocks in the HSHCI account for 58.46% of the index, including companies like Innovent Biologics (01801) and BeiGene (06160) [5].