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在家门口遇见“AI医生”,苏州基层医疗迈入智能时代
Yang Zi Wan Bao Wang· 2026-02-05 11:06
当AI走进社区诊室,看病的方式正在改变。去年10月以来,苏州试运行基层AI全科医生服务应用,通过智能辅诊和数字家医系统,让居民在家门口获得 更精准、更便捷的医疗服务,一场从基层开始的智慧医疗升级已经展开。 2月5日上午,在苏州相城元和街道社区卫生服务中心的诊室里,患者丁爱华把随身带来的血压记录本递给医生。过去几天,她因为头晕反复发作有些焦 虑,一度担心老毛病加重。这一次,她原本做好了跑大医院排队检查的准备。 丁爱华在元和街道社区卫生服务中心问诊 几分钟问诊下来,医生结合电脑端实时弹出的AI提示,逐条核对她的血压波动、用药情况和伴随症状,很快理清了原因与调整方案。丁爱华松了一口 气:"在家门口就解决了,还比想象中细致。" 扬子晚报/紫牛新闻记者了解到,这样的变化,来自正在苏州部分基层医疗机构试点区验证的AI全科医生系统。技术悄悄嵌入社区门诊日常流程,让许多 居民第一次直观感受到:社区医院的诊疗能力,正在变得更加可靠。 丁爱华的就诊流程,也是当前基层门诊的一个缩影。进入诊室前,她已通过系统提前填写基本病情信息。接诊时,医生打开AI全科医生界面,系统自动 同步既往健康记录,并根据主诉生成问诊提示。整个过程更像一次有 ...
京东健康受邀参加“两会健康策”访谈 加快以AI驱动医疗健康服务升级
2 1 Shi Ji Jing Ji Bao Dao· 2025-03-25 14:50
Core Viewpoint - JD Health is leveraging AI to enhance medical health services, focusing on high-quality development through AI-driven solutions in health management and patient care [1][2]. Group 1: AI in Healthcare - AI is recognized as a new production factor that should address deep-rooted issues across various industries, particularly in healthcare [2]. - JD Health's "Jingyi Qianxun" medical model has been fully open-sourced, making it the first vertical model in the domestic healthcare sector to do so, which will lower the development barriers for medical AI applications [2][3]. - The AI diagnosis assistant 2.0 boasts a triage accuracy rate of 99.5%, with a 120% increase in electronic medical record writing efficiency and over 90% problem-solving rate [3]. Group 2: AI Products and Services - JD Health has launched several AI-driven services, including the intelligent health assistant "Kangkang" and the AI psychological companion "Therapeutic Little Universe," creating an online medical service ecosystem [3]. - The AI doctor digital entity is designed to provide 24/7 responses to patient inquiries, enhancing the efficiency of medical services [3]. Group 3: Data Security and Privacy - The company emphasizes that AI models learn from de-identified "knowledge data" rather than clinical data, addressing data security and privacy concerns [3]. - Patients are informed about the use of their data, allowing them to choose between protecting or sharing their information [3]. Group 4: Future Directions - JD Health aims to continuously explore the potential of AI in healthcare, focusing on technological innovation to build a safer, more efficient, and convenient medical service system [4].