[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ffG8Cz-BAmwICrFxmMFByj0PJH-57tpNGE_aTLRnyeno":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1438,"国家卫健委等五部门推广 AI 医疗：到 2030 年基层诊疗智能辅助应用基本实现全覆盖","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">\tIT之家 11 月 4 日消息，国家卫健委等五部门今日发布\u003C\u002Fstrong>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">《关于促进和规范“人工智能 + 医疗卫生”应用发展的实施意见》（下称《实施意见》）。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F11\u002F065c1985d0644dfdba015870f0ad436e\u002F111.png\" width=\"928\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">《实施意见》分为五个部分：\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">第一部分为总体要求。提出“\u003C\u002Fspan>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">人工智能 + 医疗卫生\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">”应用发展的指导思想，基于各地医疗卫生领域人工智能应用的基础建设情况、应用进展情况、业务发展需求，确定了 2027 年和 2030 年的主要发展目标。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">第二部分为深化重点应用。主要包括人工智能在基层应用、临床诊疗、患者服务、中医药、公共卫生、科研教学、行业治理、健康产业等 8 个方向 24 项重点应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">第三部分为夯实应用基础。提出强化基础设施建设、丰富医疗数据供给、优化人工智能算力算法、加强中试基地建设、加强科技人才和标准支撑等 5 个方面内容。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">第四部分为规范安全监管。提出优化行业管理和审核体系、创新监管方式和预警机制、强化数据安全和个人隐私保护等 3 个方面内容。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">第五部分为加强组织保障。加强制度建设、加强试点示范、加强宣传合作，推动人工智能互利共赢、智能向善，技术普惠、成果共享。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">《实施意见》提到：\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">到 2027 年，建立一批卫生健康行业高质量数据集和可信数据空间，\u003C\u002Fspan>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">形成一批临床专病专科垂直大模型和智能体应用\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">，基层诊疗智能辅助、临床专科专病诊疗智能辅助决策和患者就诊智能服务在医疗卫生机构广泛应用，基本建成一批医疗卫生领域国家人工智能应用中试基地，打造更多高价值应用场景，带动健康产业高质量发展。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">到 2030 年，基层诊疗智能辅助应用基本实现全覆盖\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">，推动实现二级以上医院普遍开展医学影像智能辅助诊断、临床诊疗智能辅助决策等人工智能技术应用，“人工智能 + 医疗卫生”应用标准规范体系基本完善，建成一批全球领先的科技创新和人才培养基地。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">IT之家附《实施意见》深化重点应用如下：\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（一）人工智能 + 基层应用\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">1.加强紧密型县域医共体智能应用。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">注重以基层为重点，强化医学影像诊断、心电诊断、医学检验、病理诊断、消毒供应等资源共享中心作用，提升诊疗服务、基本公共卫生、慢病协同管理、家庭医生签约服务、中医智能辅诊等便民惠民服务智能水平。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">2.建立基层医生智能辅助诊疗应用。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">针对基层常见病、多发病，建立基层智能辅助诊疗应用，向基层医生提供辅助诊疗、处方审核、随访管理、中医诊疗等智能应用，提升基层全科辅助诊断、疾病鉴别诊断、医学影像辅助诊断等服务能力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">3.加强居民慢性病规范管理服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">建立智能慢性病管理和个人健康画像应用，推动居民电子健康档案规范向个人开放，开展慢性病筛查、评估分级、个性化干预等智能服务，支持居民开展自我健康管理，构建基层慢性病管理智能服务新模式。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">4.强化健康管理、养老和托育服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">结合“体重管理年”活动，为居民提供个性化的健康科学智能饮食和运动建议。强化养老和托育智能服务与监管。推广老年人、孕产妇、儿童等重点人群的健康管理和日常护理指导等智能应用，提升全人群自主健康管理意识。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（二）人工智能 + 临床诊疗\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">5.推广医学影像智能诊断服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">支持省统筹集约化开展医学影像辅助诊断、报告生成、影像质量评价和提供治疗方案建议等智能辅助服务，鼓励二级及以上医院医学影像智能辅助诊断从单病种向单个器官多病种发展，提高影像诊断效率和报告质量。选择高水平医院开展高质量医学影像数据汇聚和开发应用研究，支持人工智能大模型研发和迭代升级。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">6.拓展临床专病辅助诊疗服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">推动国家医学中心、国家和省级区域医疗中心拓展智能临床决策支持应用场景，聚焦儿科、精神、肿瘤及罕见病等重大疑难疾病临床决策智能辅助应用，提升临床专科医生诊断能力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">7.推广智能康复和用药服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">推广康复机器人、中医针灸推拿机器人等智能医疗设备，在康复专科医院、三级综合医院康复科实现智能康复服务全覆盖。发展智慧药房，推广处方调剂、药品核对、处方前置审核等智能应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（三）人工智能 + 患者服务\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">8.优化患者智能服务流程。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">二级及以上医院为患者提供精准预约分诊导诊、智能预问诊、云陪诊、智能随访等诊前诊中诊后全流程服务。推广床旁智能设备，开展病情监测预警、床旁智能护理等服务，改善患者就医体验。推动检查检验结果跨区域、跨机构互认共享。推广移动支付、医保一站式结算、商业保险快速理赔、满意度调查、院后管理等智能服务。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">9.强化智能转诊服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">支持省统筹建立智能转诊信息系统，根据区域医疗资源分布、科室负载率及患者病情紧急程度，在基层医疗卫生机构和二级及以上医院合理分配转诊资源，为患者提供智能转诊服务。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（四）人工智能 + 中医药\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">10.加强智能中医诊疗应用。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">以中医临床诊疗真实世界数据和循证医学数据为重点，构建中医临床专病知识库、临床用药知识库，形成一批高质量数据集，支撑建设中医药诊疗大模型，提升中医药辅助临床诊治能力，提高中药合理用药水平。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">11.加强中药全周期智能管理。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">鼓励中药研发机构和种植、生产企业构建中药材全流程追溯系统，探索道地药材种植数字孪生系统，实现生长全过程监测、指导及追溯，推动中药饮片炮制过程信息数字化采集、智能分析，实现中药种植、加工、使用的全流程智能管理。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">12.推进中医药装备智能升级。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">鼓励各地研发中医智能诊断设备，实现“四诊”信息定量化采集和分析。探索开展针灸、推拿机器人等智能设备推广应用。支持研发中药个性定制智能煎制装备，推动传统技术提档升级。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（五）人工智能 + 公共卫生\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">13.加强传染病监测预警。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">构建监测、预警、处置全流程闭环管理体系，推进智能流调系统升级，为传染病防控决策提供实时、精准支撑。加快国家传染病智能监测预警前置软件在全国使用传染病报告系统的医疗机构部署应用。优化传染病病例及症候群聚集性、异常变化发现等风险的快速发现和智能分析应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">14.强化卫生应急管理和处置。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">加强人工智能在公共卫生和疾病防控中的深度应用，完善突发公共卫生事件监测预警，整合卫生健康信息数据资源，监测医疗救治和卫生应急信息，预测预警卫生应急风险，推荐处置方案，实现智能处置。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">15.加强重点疾病和重点人群管理。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">省级统筹推进病理、B 超、放射影像的智能辅助诊断应用，加强疾病早期筛查。开展职业病早期智能诊断，完善智能个人防护装备应用。强化公众心理问题智能监测服务，以学生为重点，提供心理问题智能筛查、预警推送、干预服务和随访分析。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（六）人工智能 + 科研教学\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">16.深化医学科学研究智能应用。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">依托国家医学中心、国家临床医学研究中心、重点大学，推动在文献综述、研究方案生成、数据收集分析、科研资源管理、科研数据安全、研究型病房、临床实验等方面智能体的共建共享共用，提升科研工作效率和质量。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">17.拓展健康科普服务。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">鼓励各地为公众提供个性化智能健康知识推送和普及服务和定制化健康信息，并在智能医学文献分析、科学问题发现、科技学术评价等方面为医务人员创新知识提供方式。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">18.推进药物科研成果转化。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">推动医药产业高质量发展，鼓励国家医学中心、区域医疗中心和临床医学研究中心等与药品生产企业协同，面向重大疾病以及罕见病和特定人群的疾病，开发新药筛选模型，加速新药智能研发。支持各地综合中医临床数据和中药应用数据，建立快速高效的组合药物优选模型，辅助中药组方优化和创新中药研发。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（七）人工智能 + 行业治理\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">19.推广医疗卫生机构智能管理。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">加强智能医疗质量、医疗费用及单病种成本管理等医疗管理数据精准分析，开展医疗装备和耗材的智能调配、手术室和药房智能管理，加强医院医疗质量、医疗服务、物流、后勤和安全等智能管理。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">20.加强卫生健康行业智能监管。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">促进医疗、医保、医药协同发展和治理，融合推进深化医改与数智赋能。开展关键信息个案数据实时采集分析，实现医疗卫生资源、服务、质量、安全和能级水平的智能监测、分析与预警，建立应对突发公共事件医疗资源紧急调配处置的省级区域智能辅助决策系统。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">21.深化应急救治体系智能应用。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">建立全国统一的智能急救指挥系统，提升心梗、脑卒中、创伤等急危重症抢救能力。建立智能血液管理系统，加强库存监测和联动保障。完善短缺药品智能监测预警和分级应对体系，精准保障临床必需药品按需储备和合理调配。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">（八）人工智能 + 健康产业\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">22.发展智能新型服务业态。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">推广健康消费理念，鼓励发展智能健康体检、健康咨询、健康管理等新型服务业态。支持各地创新医疗智能服务模式，推广健康创新产品，开展合理用药、慢性病管理等健康知识咨询和宣传。加快智能理疗技术推广应用，支持符合条件的人工智能产品进入临床试验。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">23.提升智能医疗装备创新能力。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">支持医疗装备生产企业联合医疗机构、科研院所等产业链上下游开展智能医疗装备研发攻关，重点推动医学影像、诊断检验、治疗、监护与生命支持等领域医疗装备智能升级，鼓励联合申报参与人工智能医疗器械创新任务揭榜挂帅攻关。支持国产智能医疗装备在医疗机构的首台（套）应用，针对技术创新与临床应用水平处于全国前列的智能医疗装备开展推广应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">24.推动智能信息产业创新。\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">加强人工智能标准数据集和语料库、核心应用组件等研发，支持各地建立高质量医疗健康数据的可信数据空间，鼓励研发医疗卫生行业垂直大模型应用。孵化专业化、专科化的医疗智能体。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】新浪科技 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Ffinance.sina.com.cn\u002Ftech\u002Fdigi\u002F2025-11-04\u002Fdoc-infwfawx0553949.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002FRH7anFgRokfIkEqKFt6gTg\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F11\u002F072d2c0bbd5e44af9fcf76626a8d62b4\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F11\u002Fthumbs\u002F072d2c0bbd5e44af9fcf76626a8d62b4\u002FAI领域.jpg",0,1,129,"2025-11-07 09:28",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A8663cf10-f26d-433f-9b5c-5036a586bc1b%3A0.wav?Expires=1762482849&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=JPjrQuXBEPzKNhYnIJwLRX4R20M%3D",20525720,"8663cf10-f26d-433f-9b5c-5036a586bc1b","2025-11-07 09:20","National Health Commission and Five Other Departments Promote AI Healthcare: By 2030, Intelligent Auxiliary Applications for Primary Care Diagnosis Will Be Basically Fully Covered","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">IT Home News on November 4, the National Health Commission and five other departments issued \u003C\u002Fstrong>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">\"Opinions on Promoting and Regulating the Development of 'Artificial Intelligence + Healthcare' Application\" (hereinafter referred to as \"Opinions\").\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F11\u002F065c1985d0644dfdba015870f0ad436e\u002F111.png\" width=\"928\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"Opinions\" are divided into five parts:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The first part is the overall requirements. It puts forward the guiding ideology for the development of \"\u003C\u002Fspan>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Artificial Intelligence + Healthcare\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\" application, based on the basic construction situation, application progress, and business development needs in the field of artificial intelligence application in various regions, it has determined the main development goals for 2027 and 2030.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The second part is deepening key applications. It mainly includes eight directions and 24 key applications of artificial intelligence in grassroots applications, clinical diagnosis and treatment, patient services, traditional Chinese medicine, public health, scientific research and teaching, industry governance, and the health industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The third part is to solidify the application foundation. It proposes five aspects including strengthening infrastructure construction, enriching medical data supply, optimizing artificial intelligence computing power and algorithms, strengthening pilot base construction, and strengthening technology talent and standard support.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The fourth part is to standardize safety supervision. It proposes three aspects including optimizing industry management and review systems, innovating regulatory methods and early warning mechanisms, and strengthening data security and personal privacy protection.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The fifth part is to strengthen organizational guarantees. Strengthen system construction, strengthen pilot demonstration, strengthen publicity and cooperation, promote mutual benefit and win-win, intelligent good, technology popularization, and sharing of results.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"Opinions\" mentions:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">By 2027, a number of high-quality data sets and trusted data spaces in the health and family planning industry will be established, \u003C\u002Fspan>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">forming a number of vertical large models and intelligent body applications for clinical specialty diseases\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">, intelligent auxiliary diagnosis for primary care, intelligent auxiliary decision-making for clinical specialty diseases, and intelligent service for patient visits will be widely applied in medical institutions, basically building a number of national artificial intelligence application pilot bases in the medical and health field, creating more high-value application scenarios, and driving the high-quality development of the health industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">By 2030, intelligent auxiliary applications for primary care diagnosis will be basically fully covered\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">, promoting the widespread implementation of intelligent auxiliary diagnosis for medical images and intelligent auxiliary decision-making for clinical diagnosis in secondary-level and above hospitals, the standard specification system for \"Artificial Intelligence + Healthcare\" application will be basically improved, and a number of globally leading scientific and technological innovation and talent training bases will be built.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">IT Home provides the following deepened key applications of the \"Opinions\":\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">1. Artificial Intelligence + Grassroots Applications\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">1. Strengthen smart applications in close county medical communities.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Focus on the grassroots level, enhance the role of resource sharing centers for medical imaging diagnosis, electrocardiogram diagnosis, medical testing, pathology diagnosis, and sterilization supply, improve the intelligent level of convenient and people-oriented services such as medical services, basic public health, chronic disease coordination management, family doctor signing services, and intelligent TCM assistance diagnosis.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">2. Establish intelligent auxiliary diagnosis applications for grassroots doctors.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Establish intelligent auxiliary diagnosis applications for common and frequent diseases at the grassroots level, providing grassroots doctors with intelligent applications such as auxiliary diagnosis, prescription review, follow-up management, and TCM diagnosis, enhancing their capabilities in comprehensive auxiliary diagnosis, differential diagnosis of diseases, and medical image auxiliary diagnosis.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">3. Strengthen standardized management services for chronic diseases among residents.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Establish intelligent chronic disease management and personal health portrait applications, promote the standardization of resident electronic health records to be opened to individuals, carry out intelligent services such as chronic disease screening, assessment grading, and personalized intervention, support residents in self-health management, and build a new model of intelligent service for chronic disease management at the grassroots level.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">4. Strengthen health management, elderly care, and childcare services.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Combined with the \"Weight Management Year\" activity, provide personalized healthy diet and exercise advice for residents. Strengthen intelligent services and regulation for elderly care and childcare. Promote intelligent applications for health management and daily care guidance for key groups such as the elderly, pregnant women, and children, and enhance the awareness of self-health management among all people.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">2. Artificial Intelligence + Clinical Diagnosis and Treatment\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">5. Promote intelligent diagnostic services for medical images.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Support provinces to centrally and efficiently carry out intelligent auxiliary services such as medical image assistant diagnosis, report generation, image quality evaluation, and providing treatment plan recommendations. Encourage secondary-level and above hospitals to develop intelligent medical image assistant diagnosis from single diseases to multiple diseases of a single organ, improving the efficiency and quality of image diagnosis and reports. Select high-level hospitals to carry out high-quality medical image data aggregation and development application research, supporting the development and iterative upgrade of artificial intelligence large models.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">6. Expand intelligent auxiliary diagnosis services for clinical specialties.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Promote intelligent clinical decision support application scenarios in national medical centers, national and provincial regional medical centers, focusing on intelligent auxiliary applications for clinical decisions for major difficult diseases such as pediatrics, psychiatry, oncology, and rare diseases, enhancing the diagnostic capabilities of clinical specialists.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">7. Promote intelligent rehabilitation and medication services.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Promote rehabilitation robots, TCM acupuncture and massage robots, and other intelligent medical equipment, achieving full coverage of intelligent rehabilitation services in rehabilitation specialty hospitals and rehabilitation departments of tertiary comprehensive hospitals. Develop smart pharmacies, promote intelligent applications such as prescription dispensing, drug verification, and pre-review of prescriptions.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">3. Artificial Intelligence + Patient Services\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">8. Optimize patient intelligent service processes.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Secondary-level and above hospitals provide patients with accurate appointment triage, intelligent pre-consultation, cloud companionship, intelligent follow-up, and full-process services before, during, and after consultation. Promote bedside intelligent devices, conduct services such as condition monitoring warnings and bedside intelligent nursing, improve the patient's medical experience. Promote cross-regional and cross-institutional recognition and sharing of examination and test results. Promote intelligent services such as mobile payments, one-stop medical insurance settlement, fast commercial insurance claims, satisfaction surveys, and post-hospital management.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">9. Strengthen intelligent referral services.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Support provinces to establish intelligent referral information systems, reasonably allocate referral resources between grassroots medical institutions and secondary-level and above hospitals based on regional medical resource distribution, department load rate, and the urgency of patient conditions, providing patients with intelligent referral services.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">4. Artificial Intelligence + Traditional Chinese Medicine\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">10. Strengthen intelligent TCM diagnosis and treatment applications.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Focus on real-world data of TCM clinical diagnosis and evidence-based medicine data, construct TCM clinical specialty knowledge base and clinical medication knowledge base, form a number of high-quality data sets, support the construction of TCM diagnosis and treatment large models, enhance the ability of TCM to assist clinical diagnosis and treatment, and improve the rational use of Chinese medicine.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">11. Strengthen intelligent management throughout the entire process of traditional Chinese medicine.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Encourage TCM research institutions and planting and production enterprises to build a full-process traceability system for Chinese medicinal materials, explore digital twin systems for local medicinal materials planting, achieve monitoring, guidance, and traceability throughout the growth process, promote the digital collection and intelligent analysis of information in the processing process of Chinese herbal decoctions, and realize intelligent management throughout the entire process of TCM planting, processing, and usage.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">12. Promote intelligent upgrades of TCM equipment.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Encourage各地 to develop intelligent diagnostic devices for TCM, achieving quantitative collection and analysis of the four diagnostic information. Explore the promotion and application of intelligent devices such as acupuncture and massage robots. Support the development of intelligent preparation equipment for customized TCM prescriptions, promoting the upgrading of traditional techniques.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">5. Artificial Intelligence + Public Health\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">13. Strengthen the monitoring and early warning of infectious diseases.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Build a closed-loop management system covering monitoring, early warning, and handling, promote the upgrade of intelligent epidemiological investigation systems, and provide real-time and precise support for infectious disease control decisions. Accelerate the deployment and application of intelligent infectious disease monitoring and early warning front-end software in medical institutions using the national infectious disease reporting system. Optimize the rapid discovery and intelligent analysis applications for risk of infectious disease cases and syndrome clusters, and abnormal changes.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">14. Strengthen public health emergency management and response.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Strengthen the deep application of artificial intelligence in public health and disease prevention and control, improve the monitoring and early warning of sudden public health events, integrate health information data resources, monitor medical treatment and public health emergency information, predict and warn about public health emergency risks, recommend disposal plans, and achieve intelligent disposal.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">15. Strengthen management of key diseases and key populations.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Provincial governments will promote intelligent auxiliary diagnosis applications for pathology, B-ultrasound, and radiographic imaging, strengthen early screening for diseases. Carry out early intelligent diagnosis of occupational diseases, and improve the application of intelligent personal protective equipment. Strengthen intelligent monitoring services for public mental health issues, focusing on students, providing intelligent screening, early warning push, intervention services, and follow-up analysis for mental health issues.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">6. Artificial Intelligence + Scientific Research and Teaching\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">16. Deepen the intelligent application of medical scientific research.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Leveraging national medical centers, national clinical medicine research centers, and key universities, promote the co-construction, sharing, and utilization of intelligent agents in areas such as literature reviews, research plan generation, data collection and analysis, research resource management, research data security, research wards, and clinical trials, enhancing the efficiency and quality of scientific research.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">17. Expand health science popularization services.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Encourage localities to provide personalized intelligent health knowledge delivery and popularization services and customized health information to the public, and provide ways for medical staff to innovate knowledge in areas such as intelligent medical literature analysis, scientific question discovery, and scientific academic evaluation.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">18. Promote the transformation of drug research and development outcomes.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Promote high-quality development of the pharmaceutical industry, encourage national medical centers, regional medical centers, and clinical medicine research centers to collaborate with pharmaceutical companies to develop new drug screening models targeting major diseases, rare diseases, and specific population diseases, accelerating the intelligent development of new drugs. Support localities to establish rapid and efficient combination drug optimization models by integrating TCM clinical data and TCM application data, assisting in the optimization and innovative development of TCM prescriptions.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">7. Artificial Intelligence + Industry Governance\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">19. Promote intelligent management of medical institutions.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Strengthen precise analysis of medical management data such as medical quality, medical costs, and single-disease costs, carry out intelligent allocation of medical equipment and consumables, intelligent management of operating rooms and pharmacies, and strengthen intelligent management of hospital medical quality, medical services, logistics,后勤, and safety.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">20. Strengthen intelligent regulation of the health industry.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Promote the coordinated development and governance of medical, medical insurance, and pharmaceutical sectors, and integrate the deepening of medical reform with digital empowerment. Conduct real-time collection and analysis of key individual data, achieve intelligent monitoring, analysis, and early warning of medical resources, services, quality, safety, and capacity levels, and establish a provincial regional intelligent auxiliary decision-making system for emergency allocation and handling of medical resources in case of sudden public health events.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">21. Deepen the intelligent application of emergency rescue systems.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Establish a national unified intelligent emergency command system, enhancing the capability to rescue critical and severe illnesses such as heart attacks, strokes, and trauma. Establish an intelligent blood management system, strengthen inventory monitoring and linkage guarantee. Improve the intelligent monitoring and early warning system for shortages of medicines and graded response system, ensuring precise assurance of essential medicines according to demand and reasonable allocation.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">8. Artificial Intelligence + Health Industry\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">22. Develop intelligent new service industries.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Promote the concept of healthy consumption, encourage the development of new service industries such as intelligent health check-ups, health consultations, and health management. Support localities to innovate medical intelligent service models, promote healthy innovative products, and carry out health education and publicity on rational drug use and chronic disease management. Accelerate the application of intelligent physiotherapy technologies, and support qualified artificial intelligence products to enter clinical trials.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">23. Enhance the innovative capabilities of intelligent medical equipment.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Support medical equipment manufacturers to jointly develop intelligent medical equipment with medical institutions and research institutes along the industrial chain, focusing on promoting intelligent upgrades of medical equipment in fields such as medical imaging, diagnostic testing, treatment, monitoring, and life support. Encourage joint applications for artificial intelligence medical device innovation tasks. Support the first application of domestic intelligent medical equipment in medical institutions, and promote the application of intelligent medical equipment that is at the forefront of technological innovation and clinical application nationwide.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">24. Promote innovation in intelligent information industry.\u003C\u002Fstrong>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Strengthen the research and development of artificial intelligence standard data sets and corpora, core application components, etc., support localities to establish trustworthy data spaces with high-quality medical and health data, encourage the development of vertical large model applications in the health and medical industry. Cultivate specialized and specialized medical intelligent agents.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【News Source】 Sina Technology \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Ffinance.sina.com.cn\u002Ftech\u002Fdigi\u002F2025-11-04\u002Fdoc-infwfawx0553949.shtml\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fmp.weixin.qq.com\u002Fs\u002FRH7anFgRokfIkEqKFt6gTg\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this site to provide readers with more information, and the content does not constitute investment or consumption advice. If there are any doubts about the facts of the article, please verify with the relevant parties, and the views of the article are not the views of this site, for reference only.）\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Af0920006-65c2-4710-a78f-d434c6e9bf4a%3A0.wav?Expires=1774838456&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=8ciF7Xrxde8S01S3cippGodHA4Y%3D","f0920006-65c2-4710-a78f-d434c6e9bf4a",17536656]