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平安智享家医:将AI临床辅助决策能力,规模化触达千万级C端用户

亿邦动力 2026-05-22 18:41
亿邦动力 2026/05/22 18:41

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本文核心介绍了平安好医生全新升级的平安智享家医服务,能为普通用户解决日常就医的多种痛点,相关干货信息如下:

1. 核心服务能力:该服务采用AI秒级响应+真人医生全程监督的模式,依托海量医疗数据训练,问诊咨询准确率达98%,可提供7*24小时在线问诊、用药指导、体检报告解读、慢病风险预警、健康档案管理等服务,复杂病症由真人医生介入诊疗,兼顾效率和专业性。

2. 全场景服务覆盖:整合四层服务网络,线上可随时问诊,线下对接超5100家合作医院、24万家药店,支持精准分诊、专家预约陪诊,还能提供术后、老年、母婴等场景上门照护,居家养老可通过智能设备实现安全监测,全国271城支持1小时送药,超300种常用药有买贵就赔保障,能满足日常多种健康需求。

本文为医疗健康领域品牌商提供了消费趋势、产品研发和渠道建设的多维度参考,核心干货如下:

1. 消费趋势洞察:当前用户普遍存在就医排队久、慢病缺系统管理、线上线下服务断裂、健康数据分散的痛点,对全流程闭环的便捷医疗服务需求强烈,慢病管理、居家养老、企业健康管理都是高增长赛道,2025年平安好医生企业健管收入增速达40.6%,印证了赛道增长潜力。

2. 产品研发方向:AI+真人双引擎模式已经验证可行,AI替代医生完成重复性工作提升效率,不替代医生,兼顾专业性和效率,依托大模型加海量医疗数据积累,可实现98%的问诊准确率,能规模化触达C端用户。

3. 渠道建设参考:可整合线上线下资源搭建全场景服务网络,对接外部智能平台,面向保险、企业端开发定制化健康服务,走医险协同的发展路线,开辟新增长空间。

本文披露了医疗健康领域的最新增长机会、成熟商业模式和风险提示,核心干货如下:

1. 新增增长机会:当前慢病管理、居家养老、企业健康管理都是高增长蓝海赛道,平安好医生2025年企业健管收入增长40.6%,服务企业客户数增长超83%,居家养老已经覆盖全国100城,服务29万家庭,市场需求旺盛,还有很大拓展空间。

2. 可借鉴的成熟商业模式:平安好医生的“AI秒级响应+真人医生全程监督”双引擎模式,整合线上线下全链路医疗资源,走医险协同+企业健康双引擎驱动的路线,2025年已经实现年度盈利,商业模式验证跑通,可参考复用。

3. 风险提示:当前医疗AI竞争已经从单纯的模型参数规模竞争,转向全链路服务闭环、持续数据反馈和严肃医疗资源整合能力的竞争,从业者不能盲目追求大参数模型和流量,要聚焦提升严肃医疗结果,才能实现长期增长。

本文对医疗健康相关制造工厂,提供了产品需求方向、商业机会和数字化转型的参考,核心干货如下:

1. 产品生产设计需求:当前居家养老赛道增长迅速,市场对适老化智能监护设备需求旺盛,包括智能音箱、毫米波雷达、跌倒雷达等,可实现老人安全实时监测,搭配3级警报响应机制,目前平安已经服务29万居家养老家庭,未来市场规模还会持续扩大。

2. 商业对接机会:相关生产企业可以和平安这类大型医疗健康平台合作,联合开发符合场景需求的智能养老产品,接入平台的居家养老服务网络,直接对接千万级C端用户和大量B端客户,快速打开市场销路。

3. 数字化转型启示:工厂可以借鉴平安的数字化发展思路,借助AI技术优化生产和服务流程,积累用户数据反哺产品研发优化,对接线上医疗平台拓展销售和服务渠道,提升整体运营效率。

本文清晰展现了医疗健康服务行业的发展趋势、客户痛点和成熟解决方案,核心干货如下:

1. 行业核心客户痛点:当前行业长期存在就医排队时间长、慢病缺乏系统管理、线上线下服务断裂、个人健康数据分散的痛点,用户需求没有得到充分满足,还有很大的市场空间可以挖掘。

2. 可行技术路线:AI大模型落地临床辅助决策已经跑通,依托3.7万种疾病、14.4亿次真实问诊等海量数据训练,可实现98%的问诊准确率,AI承担信息整理、常规咨询等重复性工作,能大幅提升医疗服务效率,搭配真人医生兜底处理复杂需求,可解决专业信任问题。

3. 行业发展趋势:医疗AI竞争已经从参数规模竞争转向全链路服务闭环搭建、持续数据反馈和严肃医疗资源整合能力竞争,未来要聚焦改善医疗结果,C端规模化触达搭配B端定制化服务,企业健康管理、保险定制化服务都是新的增长点。

本文分享了平安好医生作为医疗健康平台的最新运营经验和发展方向,核心干货如下:

1. 市场核心需求:用户和合作商家都需要平台整合线上线下全链路医疗资源,打通从在线问诊、线下就医、购药到上门照护的全流程,提供可信的AI+真人结合服务,解决行业长期存在的各类就医痛点。

2. 可借鉴的平台运营做法:打造“AI秒级响应+真人医生全程监督”的双引擎服务模式,搭建“到线、到院、到家、到企”四层服务网络,走“综合金融+医疗养老”双轮驱动战略,以医险协同加企业健康管理作为双增长引擎,该模式已经实现年度盈利,商业可行性得到验证。

3. 风向规避提示:医疗AI发展不要盲目追求模型参数规模和流量增长,要聚焦全链路服务闭环搭建和严肃医疗资源整合,以提升医疗结果质量为核心,才能规避发展风险,实现长期健康增长。

本文披露了国内医疗AI产业的最新发展动向和创新商业模式,对产业研究有较高参考价值,核心干货如下:

1. 产业最新动向:AI临床辅助决策已经实现规模化触达千万级C端用户,医疗AI的竞争逻辑发生根本变化,早期行业比拼模型参数规模,现在竞争转向全链路服务闭环搭建、持续数据迭代反馈和严肃医疗资源整合能力,行业已经进入商业化落地验证阶段。

2. 创新商业模式:平安好医生打造“AI+真人医生”双引擎服务模式,以“综合金融+医疗养老”双轮驱动,构建医险协同+企业健康管理双增长引擎,2025年实现首次年度盈利,验证了中国特色管理式医疗模式的可行性,给行业提供了新的研究样本。

3. 产业未来方向:未来医疗AI的发展核心是改善严肃医疗结果,服务大众健康长寿需求,慢病管理、居家养老、企业健康管理将成为行业核心增长极,给产业研究指明了新的方向。

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Quick Summary

This article introduces the newly upgraded Ping An Smart Home Healthcare service from Ping An Good Doctor, which addresses multiple common pain points for average consumers. Key takeaways are as follows:

1. Core service capabilities: The service combines AI-powered instant responses with full-time supervision from licensed physicians. Trained on massive medical datasets, it delivers 98% accuracy for consultation services, including 7/24 online consultation, medication guidance, physical report interpretation, chronic disease risk alerts, and health record management. Complex cases are handled by human physicians, balancing efficiency and professional quality.

2. Full-scenario service coverage: Ping An has built a four-tier integrated service network that supports on-demand online consultation and offline connections with more than 5,100 partner hospitals and 240,000 pharmacies. It offers accurate triage, specialist appointment and accompaniment, and in-home care for post-surgery recovery, seniors, and maternal and child care, plus safety monitoring via connected smart devices for aging-in-home users. One-hour medication delivery is available in 271 cities across China, with a price-match guarantee covering more than 300 common medications, meeting a wide range of daily health needs.

This article provides multi-dimensional insights into consumer trends, product development and channel building for brands in the healthcare sector. Key takeaways are as follows:

1. Consumer trend insights: Consumers today commonly face pain points including long waiting times for care, lack of systematic chronic disease management, disconnected online-offline services, and fragmented health data. There is strong unmet demand for convenient end-to-end closed-loop healthcare services. Chronic disease management, home-based elder care, and corporate health management are all high-growth segments. Ping An Good Doctor projects its 2025 corporate health management revenue will grow 40.6% year-over-year, confirming the segment's growth potential.

2. Product development direction: The AI + human physician dual-engine model is already proven commercially viable. AI handles repetitive work to boost efficiency without replacing physicians, balancing both speed and professional quality. Backed by large language models and massive accumulated medical data, the model achieves 98% consultation accuracy, enabling scalable reach to mass consumers.

3. Channel building takeaways: Brands can integrate online and offline resources to build a full-scenario service network, partner with external smart platforms, develop customized health services for insurance and corporate clients, and pursue a medical-insurance integrated growth strategy to unlock new revenue streams.

This article outlines the latest growth opportunities, proven business models and risk warnings for the healthcare sector. Key takeaways are as follows:

1. New growth opportunities: Chronic disease management, home-based elder care, and corporate health management are all high-growth blue ocean markets. Ping An Good Doctor projects 40.6% year-over-year revenue growth and more than 83% growth in corporate client count for its corporate health management business in 2025. Its home elder care service already covers 100 Chinese cities and serves 290,000 households, with strong market demand and significant room for further expansion.

2. Proven business model for reference: Ping An Good Doctor's dual-engine model of "AI instant response + full-time human physician supervision" integrates end-to-end online and offline medical resources, and is driven by a dual growth engine of medical-insurance integration and corporate health services. The business achieved full-year profitability in 2025, proving the model is viable and replicable.

3. Risk warnings: Competition in medical AI has shifted from a race for larger model parameters to competition over closed-loop end-to-end service, continuous data feedback and serious medical resource integration. Industry players should not blindly pursue large parameters or traffic; long-term growth relies on a focus on delivering reliable clinical outcomes.

This article offers insights into product demand, business opportunities and digital transformation for medical device manufacturers. Key takeaways are as follows:

1. Product design and manufacturing demand: The home-based elder care segment is growing rapidly, driving strong market demand for age-friendly smart monitoring devices, including smart speakers, millimeter-wave radar and fall detection sensors. These devices enable real-time safety monitoring for seniors paired with a three-level alert response system. Ping An already serves 290,000 home care households, and the market size will continue to expand going forward.

2. Business partnership opportunities: Relevant manufacturers can partner with large healthcare platforms like Ping An to co-develop smart senior care products tailored for specific use cases, connect to the platform's home care service network, and gain direct access to tens of millions of consumers and a large base of B2B clients to quickly expand market reach.

3. Digital transformation insights: Manufacturers can draw on Ping An's digital development experience: leverage AI technology to optimize production and service processes, accumulate user data to inform product development and refinement, and partner with online healthcare platforms to expand sales and service channels and improve overall operational efficiency.

This article outlines industry trends, core customer pain points and proven solutions for healthcare service providers. Key takeaways are as follows:

1. Core industry customer pain points: The industry has long struggled with persistent pain points including long waiting times for treatment, lack of systematic chronic disease management, disconnected online-offline services, and fragmented personal health data. Consumer demand remains largely unmet, leaving significant untapped market opportunity.

2. Viable technology pathway: Clinical decision support powered by large AI models is already commercially viable. Trained on massive real-world datasets covering 37,000 diseases and 1.44 billion historical consultations, the model delivers 98% consultation accuracy. AI handles repetitive tasks such as information organization and routine inquiries to drastically boost service efficiency, while human physicians step in to handle complex cases and build professional trust.

3. Industry development trends: Medical AI competition has shifted from competing on model parameter size to competing on closed-loop end-to-end service, continuous data feedback and serious medical resource integration. Future growth will center on improving clinical outcomes, combining scalable C2C reach with customized B2B services, with corporate health management and customized insurance services emerging as key new growth drivers.

This article shares the latest operational insights and development direction from Ping An Good Doctor, a leading Chinese digital healthcare platform. Key takeaways are as follows:

1. Core market demand: Both users and partner merchants require platforms to integrate end-to-end online and offline medical resources, deliver a seamless full-cycle experience from online consultation to offline care, medication purchase and in-home care, and provide reliable AI-human hybrid services to solve long-standing industry pain points in healthcare access.

2. Replicable platform operating practices: Build a dual-engine service model of "AI instant response + full-time human physician supervision", develop a four-tier service network covering online consultation, in-hospital services, in-home care and corporate services, and pursue a dual-driven strategy of "comprehensive finance + healthcare and elder care", with medical-insurance integration and corporate health management as dual growth engines. This model delivered full-year profitability, confirming its commercial viability.

3. Risk mitigation guidance: Medical AI players should not blindly pursue larger model parameters or traffic growth. Long-term, sustainable growth depends on focusing on building closed-loop end-to-end services, integrating high-quality serious medical resources, and prioritizing improvements to clinical outcome quality.

This article discloses the latest development trends and innovative business models of China's medical AI industry, offering high reference value for industrial research. Key takeaways are as follows:

1. Latest industry developments: AI-powered clinical decision support has achieved scalable reach to tens of millions of consumers, and the core logic of competition in medical AI has fundamentally changed. Early industry competition centered on model parameter size, but today competition focuses on building closed-loop end-to-end services, continuous iterative data feedback and serious medical resource integration. The industry has entered the phase of commercial validation and scaling.

2. Innovative business model: Ping An Good Doctor has built an "AI + human physician" dual-engine service model driven by a dual strategy of "comprehensive finance + healthcare and elder care", with medical-insurance integration and corporate health management as dual growth engines. The company achieved its first full-year profitability in 2025, validating the feasibility of a Chinese-style managed care model and providing a new research sample for the industry.

3. Future industry direction: The core priority for future medical AI development will be improving serious clinical outcomes to meet public demand for longer, healthier lives. Chronic disease management, home-based elder care and corporate health management will emerge as core growth poles for the industry, outlining a new direction for industrial research.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

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【亿邦原创】针对长期存在的就医排队时间长、慢病缺乏系统管理、线上线下服务断裂、个人健康数据分散等痛点,平安好医生近日将其“AI医生”升级为“平安智享家医”。该服务依托平安医博通大模型,采用“AI秒级响应+真人医生全程监督”的双引擎模式,并整合平安“到线、到院、到家、到企”四层医疗健康服务网络。

据平安好医生披露,升级后的智享家医已从常识问答扩展到临床辅助决策,能够协助完成专业诊断分析、复杂病情梳理等任务。公司CEO何明科表示,该系统的目标不是替代医生,而是通过自动化重复性工作,提升医疗服务的整体效率。

在技术储备方面,平安好医生积累了涵盖3.7万种疾病、22万份药品说明书、200万份经典病例、3000万篇医学文献和14.4亿次真实问诊数据。基于此,智享家医的AI系统可提供7×24小时在线服务,问诊咨询准确率达98%,并支持问诊分流、用药提醒、体检报告解读、健康档案管理及慢病风险预警等高频功能。对于复杂病症、慢病管理和处方开具等需求,真人医生将介入诊疗,AI则承担信息整理等辅助工作。

根据官方介绍,智享家医在服务网络中承担以下角色:

到线:7×24小时在线问诊与用药指导,AI与真人医生结合。

到院:接入约5万名内外部医生、超3500名签约专家、5100家合作医院、24万家药店和4400家体检机构,支持精准分诊、专家预约和陪诊服务。

到家:提供上门健康照护,覆盖术后、老年、母婴等场景,已服务29万家庭。居家养老场景通过智能音箱和毫米波雷达实现安全监测。

到企:为超过6700家企业客户提供健康管理、慢病干预、心理咨询等一站式服务。

在生态合作方面,平安好医生已与荣耀YOYO智能体等平台对接,面向保险和企业客户构建定制化健康服务体系,强调前置健康筛查、慢病管理和风险干预。

平安好医生表示,医疗AI的竞争已从模型参数规模转向全链路服务闭环、持续数据反馈和严肃医疗资源整合能力。未来将持续优化AI与真人医生的协同机制,完善健康档案与“四到”服务体系,以提升用户体验和医疗结果质量。

据悉,平安健康医疗科技有限公司(股票简称:平安好医生,01833.HK)是中国平安集团医疗养老生态圈的旗舰平台,致力于打造“中国特色的管理式医疗模式”。公司以“综合金融+医疗养老”为双轮驱动战略,通过整合线上线下医疗健康资源,为用户提供一站式、7×24小时的医疗健康养老服务。

截至2025年末,公司建立了约5万名内外部医生团队,累计签约专家医生超3500位,合作医院超5100家、合作药店超24万家、合作体检供应商超4400家。

其业务板块包括医疗服务、健康服务、养老服务三大板块。

医疗服务板块是平安健康的核心业务,涵盖以下内容:

线上问诊:通过“AI+真人医生”双引擎模式,提供7×24小时在线医疗服务,AI医生秒级响应,复杂病症由真人医生深度参与诊疗决策。慢病服务人次达1690万,客户满意度达99%。

就医协助:覆盖精准分诊、专家预约、陪诊服务等,打通线上问诊到线下就医的无缝通道。合作医院超5100家,其中百强医院实现100%覆盖。

专家问诊:累计签约专家医生超3500位,包括10位院士/国医大师,超800位正副院长/科室主任/学科带头人。可实现最快3小时与名医专家音视频直连。

慢病管理:提供控糖、控压、减重等慢病管理服务,通过物联网实时监控与高危预警,结合生活方式管理促进慢病改善。公司参与全国“体重管理中心建设规范”团体标准建设。

药品销售:合作药店超24万家,支持在线处方开具及送药上门服务。全国271座城市实现1小时送药,超300种常用药品提供"买贵就赔"保障

养老服务板块聚焦居家养老场景,通过智能管家、生活管家、医生管家“三位一体”模式提供服务:

居家养老服务:服务覆盖全国100城,已服务29万家庭,超过24万客户获得居家养老服务资格。提供“住、乐、护"三大领域服务,包括居家适老化改造、安全应急服务、文娱旅居、专业照护等。

智能养老监护:通过智能音箱、毫米波雷达、跌倒雷达等智能设备实时守护老人安全,管家实行3级响应机制,警报响应率达100%。

康复护理服务:为半失能及失能长者提供专业照护方案,联合40多家康复护理服务商建立服务标准,服务满意度达95%

健康服务板块主要面向企业客户和个人客户提供健康管理服务:

企业健康管理:为企业客户提供一站式健康管理服务计划,截至2025年末服务企业客户数突破6700家,同比增长超83%。服务内容包括健康体检、驻场医务室、健康监测、科普教育、心理咨询等。

体检服务:合作体检供应商超4400家,支持体检报告解读及健康档案管理。通过自动化健康档案与体检报告秒级解读,提供个性化健康管理方案。

平安医健付:展码一键支付服务,已覆盖7.7万家药店,优化客户就医购药体验

根据财报,2025年成为平安好医生首次实现年度经营利润转正的标志性年份。全年实现总收入54.68亿元,同比增长13.7%;归母净利润达到3.80亿元,同比大幅增长366.1%;经调整净利润为4.14亿元,同比增长161.3%。

从收入结构来看,医险协同与企业健康管理两大引擎持续发力。2025年,商保协同业务收入为32.96亿元,同比增长11.0%,占总收入的60.3%;企业健管业务收入为13.06亿元,同比增速高达40.6%,收入占比提升至23.9%,已成为公司的第二增长引擎。截至2025年末,公司服务企业客户数突破6700家,同比增长超83%。

2026年一季度平安好医生实现总收入11.59亿元,同比增长9.1%;净利润为0.79亿元,同比大增138.4%;经调整净利润为0.84亿元,同比增长45.8%。业务运营方面,截至一季度末,过去12个月服务的付费企业客户已超7500家,同比增长近89%;AI医生使用人数超过560万人;居家养老获得资格客户超29万人;“平安医健付”覆盖全国11.1万家药店。

平安好医生表示,未来将继续深化“AI+真人医生”融合,完善健康档案与“四到”服务网络建设,以持续改善用户体验和医疗服务质量。医疗AI的下一站,不在于追求更大流量或更强模型,而在于更好的严肃医疗结果——让每一位用户,都能拥有更健康、更高质量长寿的人生。

资本市场方面,平安好医生(01833.HK)于2026年5月22日报收9.190港元,当日小幅下跌1.29%,港股市值约为198.64亿港元。自2025年实现首次年度盈利以来,公司股价52周内波动于6.70港元至24.40港元之间。

亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

文章来源:亿邦动力

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