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平安好医生前三季度同比增长35% AI医生使用人数近1300万

亿邦动力 2026-10-23 15:14
亿邦动力 2026/10/23 15:14

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总1:先看业绩与AI落地数据。

1. 平安好医生2026年前三季度总收入35.08亿元,净利润2.48亿元,同比增长35%。

2. AI医生使用人数增长至近1300万人;AI复杂疾病多学科会诊辅助平台覆盖四大类病种,诊疗方案准确率约90%。

总2:再看服务与可关注的新动作。

1. 联合平安人寿推出聚焦阿尔茨海默病的“脑健康服务”,提供“筛、治、康、安、付”全周期健康管理方案,未来延伸至卒中、帕金森、抑郁症等全脑健康领域。

2. 过去12个月服务付费企业客户超8100家,同比增长近60%;联合首批40余家行业标杆企业成立长寿管理生态联盟,揭幕全国11家平安健康长寿中心。

3. 推出“AI+真人”数智健管服务“平安智享私教”,平安跨境康已在深圳地区开放。未来将加速AI在专业医疗服务、医险协同产品创新等场景应用,完善“四到”服务网络。

总1:品牌可借医险协同和专病服务做场景化营销。

1. 商保协同聚焦打磨与保险产品深度融合的会员服务体系,通过医健服务权益助力保险场景化营销获客。

2. 产品研发向专病纵深:联合平安人寿推出阿尔茨海默病“脑健康服务”,以“筛、治、康、安、付”全周期管理形成差异化,并计划延伸至卒中、帕金森、抑郁症等全脑健康领域。

总2:用户经营与生态品牌背书值得关注。

1. 企业健管过去12个月付费企业客户超8100家,同比增长近60%,企业健管GMV持续增长,说明企业客户需求在扩大。

2. 升级平安健康长寿管理服务体系,联合首批40余家行业标杆企业成立长寿管理生态联盟,揭幕全国11家平安健康长寿中心,以11家自营医疗机构为基础联合加盟机构构建全国长寿医学服务网络。

3. AI品牌背书方面,弗若斯特沙利文蓝皮书将平安好医生列为重点案例,并指出其已从在线医疗服务平台升级为AI驱动的医疗健康服务生态平台。

总1:增长市场与最新商业模式可重点看。

1. 企业健管过去12个月付费企业客户超8100家,同比增长近60%,企业健管GMV持续增长;AI医生使用人数近1300万。

2. 商保协同以会员服务体系和医健服务权益助力保险场景化营销获客,医险协同向阿尔茨海默病等专病纵深落地;长寿管理以11家自营医疗机构为基础,联合加盟机构构建全国长寿医学服务网络。

总2:合作方式与机会提示较明确。

1. 联合首批40余家行业标杆企业成立长寿管理生态联盟,揭幕全国11家平安健康长寿中心,体现生态联盟和加盟网络合作空间。

2. 脑健康服务可从阿尔茨海默病延伸至卒中、帕金森、抑郁症等全脑健康领域;平安跨境康面向外籍来华人士,依托AI多语言翻译与线上线下闭环服务,目前已在深圳地区开放。

3. 可学习点是用AI复杂疾病多学科会诊平台提升诊疗方案准确率至约90%,并用“AI+真人”模式做数智健管服务。政策解读、风险提示和扶持政策在文章中未披露。

总1:产品设计和健康服务需求可带来启发。

1. 阿尔茨海默病“脑健康服务”提供“筛、治、康、安、付”全周期健康管理方案,未来延伸至卒中、帕金森、抑郁症等全脑健康领域。

2. 平安健康长寿管理服务体系、全国11家平安健康长寿中心,以及“AI+真人”模式下的平安智享私教,围绕评估、训练、巩固构建运动健康管理闭环。

总2:商业机会与数字化落地值得关注。

1. 长寿管理以11家自营医疗机构为基础,联合加盟机构构建全国长寿医学服务网络;联合首批40余家行业标杆企业成立长寿管理生态联盟,存在服务网络与加盟合作机会。

2. 企业健管过去12个月付费企业客户超8100家,同比增长近60%,显示企业健康管理服务需求增长。

3. 推进数字化和电商的启示是持续深化AI能力建设及应用落地:AI医生使用人数近1300万,AI复杂疾病多学科会诊覆盖四大类病种、方案准确率约90%,AI多语言翻译与线上线下闭环服务用于跨境医疗。未来将加速AI在专业医疗服务、医险协同产品创新等场景深耕。

总1:行业趋势与平台定位变化值得关注。

1. 弗若斯特沙利文蓝皮书指出,平安好医生已从在线医疗服务平台升级为AI驱动的医疗健康服务生态平台。

2. 医险协同向专病纵深,长寿管理走向生态联盟和中心网络,企业健管付费企业客户超8100家、同比增长近60%。

总2:新技术与客户痛点解决方案较清晰。

1. AI复杂疾病多学科会诊辅助平台覆盖四大类病种,诊疗方案准确率约90%;“AI+真人”模式下的数智健管服务平安智享私教,围绕评估、训练、巩固形成闭环;AI多语言翻译支撑平安跨境康。

2. 客户痛点包括复杂疾病会诊、阿尔茨海默病全周期管理、企业健康管理需求、外籍来华人士一站式医疗健康服务。

3. 对应方案包括脑健康服务、企业健管、长寿管理服务体系以及平安跨境康。落地数据包括AI医生使用人数近1300万、11家自营医疗机构、11家平安健康长寿中心,以及过去12个月付费企业客户超8100家。

总1:平台定位与最新做法是核心看点。

1. 蓝皮书称平安好医生已从在线医疗服务平台升级为AI驱动的医疗健康服务生态平台。

2. 商保协同打磨与保险产品深度融合的会员服务体系,通过医健服务权益助力保险场景化营销获客;医险协同向阿尔茨海默病等专病纵深;企业健管付费企业客户超8100家、同比增长近60%。

总2:生态招商与运营管理有具体动作。

1. 联合首批40余家行业标杆企业成立长寿管理生态联盟,揭幕全国11家平安健康长寿中心,以11家自营医疗机构为基础联合加盟机构构建全国长寿医学服务网络。

2. 运营管理方面,AI医生使用人数近1300万,AI复杂疾病多学科会诊覆盖四大类病种、准确率约90%,“AI+真人”私教形成评估、训练、巩固闭环。

3. 未来将加速AI在专业医疗服务和医险协同产品创新等场景应用,完善“四到”服务网络,提升企业客户拓展与服务能力,这为平台招商和运营管理提供方向。

总1:产业新动向体现AI医疗加速落地。

1. AI医生使用人数近1300万;AI复杂疾病多学科会诊覆盖四大类病种、准确率约90%;AI应用向主动健康管理和跨境场景延伸。

2. 公司从在线医疗服务平台升级为AI驱动的医疗健康服务生态平台,并被弗若斯特沙利文蓝皮书列为重点案例。

总2:商业模式与生态组织值得研究。

1. 商保协同以会员服务体系和医健服务权益嵌入保险场景化营销,并向阿尔茨海默病等专病纵深;企业健管付费企业客户超8100家、同比增长近60%。

2. 长寿管理以生态联盟、11家平安健康长寿中心和加盟网络构建服务网络,联合首批40余家行业标杆企业成立长寿管理生态联盟,以11家自营医疗机构为基础联合加盟机构。

3. 未来计划加速AI在专业医疗服务、医险协同产品创新等场景深耕应用,并完善“四到”服务网络、提升企业客户拓展与服务能力,可作为观察AI医疗商业模式演进的样本。

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Quick Summary

Summary 1: Start with performance and AI implementation data.

1. Ping An Good Doctor reported total revenue of RMB 3.508 billion and net profit of RMB 248 million for the first three quarters of 2026, with net profit up 35% year over year.

2. The number of AI doctor users grew to nearly 13 million; the AI multidisciplinary consultation support platform for complex diseases covers four major disease categories, with diagnostic and treatment plan accuracy of about 90%.

Summary 2: Then look at services and new initiatives worth watching.

1. Together with Ping An Life, it launched a "brain health service" focused on Alzheimer's disease, offering a full-cycle health management solution spanning "screening, treatment, rehabilitation, safety, and payment," with plans to extend to stroke, Parkinson's disease, depression, and other areas of whole-brain health.

2. Over the past 12 months, it served more than 8,100 paid enterprise clients, up nearly 60% year over year; it joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance and unveiled 11 Ping An Health Longevity Centers nationwide.

3. It launched "Ping An Smart Private Coaching," an "AI + live human" digital intelligent health management service; Ping An Cross-border Health has opened in Shenzhen. In the future, it will accelerate AI applications in professional medical services, medical-insurance collaboration product innovation, and other scenarios, and improve its "four-reach" service network.

Summary 1: Brands can use medical-insurance collaboration and disease-specific services for scenario-based marketing.

1. Commercial insurance collaboration focuses on refining a membership service system deeply integrated with insurance products, using medical and health service benefits to support scenario-based insurance marketing and customer acquisition.

2. Product R&D is moving deeper into specific diseases: together with Ping An Life, it launched an Alzheimer's disease "brain health service," creating differentiation through full-cycle management covering "screening, treatment, rehabilitation, safety, and payment," and plans to extend into stroke, Parkinson's disease, depression, and other whole-brain health areas.

Summary 2: User operations and ecosystem brand endorsement are worth watching.

1. In enterprise health management, paid enterprise clients exceeded 8,100 over the past 12 months, up nearly 60% year over year, while enterprise health management GMV continued to grow, indicating expanding demand from enterprise clients.

2. It upgraded the Ping An Health longevity management service system, joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance, and unveiled 11 Ping An Health Longevity Centers nationwide; based on 11 self-operated medical institutions, it is building a national longevity medicine service network together with franchise institutions.

3. In terms of AI brand endorsement, a Frost & Sullivan blue book listed Ping An Good Doctor as a key case and noted that it has upgraded from an online medical service platform to an AI-driven medical and health service ecosystem platform.

Summary 1: Focus on growth markets and the latest business models.

1. In enterprise health management, paid enterprise clients exceeded 8,100 over the past 12 months, up nearly 60% year over year, and enterprise health management GMV continued to grow; AI doctor users reached nearly 13 million.

2. Commercial insurance collaboration uses a membership service system and medical and health service benefits to support scenario-based insurance marketing and customer acquisition; medical-insurance collaboration is being implemented deeper in specific diseases such as Alzheimer's disease; longevity management is building a national longevity medicine service network based on 11 self-operated medical institutions and together with franchise institutions.

Summary 2: Cooperation methods and opportunity signals are relatively clear.

1. It joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance and unveiled 11 Ping An Health Longevity Centers nationwide, reflecting room for ecosystem alliance and franchise network cooperation.

2. Brain health services can extend from Alzheimer's disease to stroke, Parkinson's disease, depression, and other whole-brain health areas; Ping An Cross-border Health targets foreign visitors to China and relies on AI multilingual translation and online-offline closed-loop services, and is currently open in Shenzhen.

3. A lesson to learn is the use of the AI multidisciplinary consultation platform for complex diseases to raise diagnostic and treatment plan accuracy to about 90%, and the use of an "AI + live human" model for digital intelligent health management services. Policy interpretation, risk warnings, and support policies were not disclosed in the article.

Summary 1: Product design and health service demand can offer inspiration.

1. The Alzheimer's disease "brain health service" provides a full-cycle health management solution covering "screening, treatment, rehabilitation, safety, and payment," and will extend in the future to stroke, Parkinson's disease, depression, and other whole-brain health areas.

2. The Ping An Health longevity management service system, 11 Ping An Health Longevity Centers nationwide, and Ping An Smart Private Coaching under the "AI + live human" model build a closed-loop exercise health management system around assessment, training, and consolidation.

Summary 2: Business opportunities and digital implementation are worth watching.

1. Longevity management is based on 11 self-operated medical institutions and works with franchise institutions to build a national longevity medicine service network; it joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance, creating opportunities in service networks and franchise cooperation.

2. In enterprise health management, paid enterprise clients exceeded 8,100 over the past 12 months, up nearly 60% year over year, showing growing demand for enterprise health management services.

3. The implication for advancing digitalization and e-commerce is to continue deepening AI capability building and application implementation: AI doctor users reached nearly 13 million; AI multidisciplinary consultation for complex diseases covers four major disease categories with plan accuracy of about 90%; AI multilingual translation and online-offline closed-loop services are used for cross-border healthcare. In the future, it will accelerate deeper AI application in professional medical services, medical-insurance collaboration product innovation, and other scenarios.

Summary 1: Industry trends and changes in platform positioning are worth watching.

1. A Frost & Sullivan blue book noted that Ping An Good Doctor has upgraded from an online medical service platform to an AI-driven medical and health service ecosystem platform.

2. Medical-insurance collaboration is moving deeper into specific diseases; longevity management is moving toward an ecosystem alliance and center network; enterprise health management has more than 8,100 paid enterprise clients, up nearly 60% year over year.

Summary 2: New technologies and solutions to customer pain points are relatively clear.

1. The AI multidisciplinary consultation support platform for complex diseases covers four major disease categories, with diagnostic and treatment plan accuracy of about 90%; Ping An Smart Private Coaching, a digital intelligent health management service under the "AI + live human" model, forms a closed loop around assessment, training, and consolidation; AI multilingual translation supports Ping An Cross-border Health.

2. Customer pain points include consultation for complex diseases, full-cycle management of Alzheimer's disease, enterprise health management needs, and one-stop medical and health services for foreign visitors to China.

3. Corresponding solutions include brain health services, enterprise health management, the longevity management service system, and Ping An Cross-border Health. Implementation data include nearly 13 million AI doctor users, 11 self-operated medical institutions, 11 Ping An Health Longevity Centers, and more than 8,100 paid enterprise clients over the past 12 months.

Summary 1: Platform positioning and latest practices are the core highlights.

1. The blue book states that Ping An Good Doctor has upgraded from an online medical service platform to an AI-driven medical and health service ecosystem platform.

2. Commercial insurance collaboration refines a membership service system deeply integrated with insurance products, using medical and health service benefits to support scenario-based insurance marketing and customer acquisition; medical-insurance collaboration is moving deeper into specific diseases such as Alzheimer's disease; enterprise health management has more than 8,100 paid enterprise clients, up nearly 60% year over year.

Summary 2: Ecosystem recruitment and operations management have concrete actions.

1. It joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance and unveiled 11 Ping An Health Longevity Centers nationwide; based on 11 self-operated medical institutions, it is building a national longevity medicine service network together with franchise institutions.

2. In operations management, AI doctor users reached nearly 13 million; AI multidisciplinary consultation for complex diseases covers four major disease categories with accuracy of about 90%; "AI + live human" private coaching forms a closed loop of assessment, training, and consolidation.

3. In the future, it will accelerate AI applications in professional medical services, medical-insurance collaboration product innovation, and other scenarios, improve the "four-reach" service network, and enhance enterprise client expansion and service capabilities, providing direction for platform recruitment and operations management.

Summary 1: New industry developments reflect accelerating AI adoption in healthcare.

1. AI doctor users reached nearly 13 million; AI multidisciplinary consultation for complex diseases covers four major disease categories with accuracy of about 90%; AI applications are extending into proactive health management and cross-border scenarios.

2. The company has upgraded from an online medical service platform to an AI-driven medical and health service ecosystem platform and was listed as a key case in a Frost & Sullivan blue book.

Summary 2: Business models and ecosystem organization are worth studying.

1. Commercial insurance collaboration embeds a membership service system and medical and health service benefits into scenario-based insurance marketing and moves deeper into specific diseases such as Alzheimer's disease; enterprise health management has more than 8,100 paid enterprise clients, up nearly 60% year over year.

2. Longevity management builds a service network through an ecosystem alliance, 11 Ping An Health Longevity Centers, and a franchise network; it joined with the first batch of more than 40 industry benchmark companies to establish the Longevity Management Ecosystem Alliance, based on 11 self-operated medical institutions and together with franchise institutions.

3. Future plans are to accelerate deeper AI application in professional medical services, medical-insurance collaboration product innovation, and other scenarios, improve the "four-reach" service network, and enhance enterprise client expansion and service capabilities; this can serve as a sample for observing the evolution of AI healthcare business models.

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】10月22日,平安健康医疗科技有限公司(股票简称:平安好医生,01833.HK)公布2026年前三季度业绩报告。期内,公司录得总收入35.08亿元,净利润2.48亿元,同比增长35%。

商保协同业务方面,公司聚焦打磨与保险产品深度融合的会员服务体系,并通过医健服务权益助力保险场景化营销获客。期内,公司推动医险协同模式向专病纵深落地,联合平安人寿推出聚焦阿尔茨海默病的“脑健康服务”,提供“筛、治、康、安、付”全周期健康管理方案。据披露,该方案未来还将逐步延伸至卒中、帕金森、抑郁症等全脑健康领域。

企业健管业务方面,截至报告期末,公司在过去12个月内服务的付费企业客户超8100家,同比增长近60%,企业健管业务GMV持续增长。

服务体系上,公司期内升级“平安健康长寿管理服务体系”,联合首批40余家行业标杆企业成立长寿管理生态联盟,并揭幕全国11家平安健康长寿中心,以11家自营医疗机构为基础,联合加盟机构构建全国长寿医学服务网络。

期内,公司持续深化AI能力建设及应用落地。财报显示,公司AI医生使用人数持续增长至近1300万人。

在严肃医疗场景,公司升级AI复杂疾病多学科会诊(MDT)辅助平台,截至报告期末已覆盖四大类病种,复杂疾病多学科会诊诊疗方案准确率约90%。在主动健康管理场景,公司推出“AI+真人”模式下的数智健管服务“平安智享私教”,围绕“评估—训练—巩固”构建运动健康管理闭环。此外,AI应用边界向多元人群与跨境场景延伸:9月,旗下“平安跨境康”亮相深圳科创展,依托AI多语言翻译与线上线下闭环服务,为外籍来华人士提供一站式医疗健康服务,目前该服务已在深圳地区开放。

期内,全球知名咨询机构弗若斯特沙利文(Frost&Sullivan)发布《2026全球AI医疗行业发展蓝皮书》,平安好医生凭借AI医疗落地体系、“AI+真人医生”服务模式与全场景服务生态入选重点案例。蓝皮书指出,公司已从在线医疗服务平台升级为AI驱动的医疗健康服务生态平台。

公司表示,未来将加速推进AI在专业医疗服务、医险协同产品创新等场景的深耕应用,同时完善“四到”服务网络,提升企业客户拓展与服务能力。

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。

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FAQ回顾

平安好医生是一家什么公司?

平安健康医疗科技有限公司(股票简称:平安好医生,01833.HK)是在线医疗健康服务平台,已升级为AI驱动的医疗健康服务生态平台。其业务涵盖商保协同、企业健管,2026年前三季度总收入35.08亿元,净利润2.48亿元,同比增长35%。

AI医生在医疗健康服务中有哪些应用场景?

AI医生使用人数已近1300万。在严肃医疗场景,AI复杂疾病多学科会诊平台覆盖四大类病种,诊疗方案准确率约90%;在主动健康管理场景,有“AI 真人”模式的“平安智享私教”;跨境场景有“平安跨境康”提供多语言翻译和一站式服务。

医险协同模式如何做专病健康管理?

平安好医生联合平安人寿推出聚焦阿尔茨海默病的“脑健康服务”,提供“筛、治、康、安、付”全周期健康管理方案,并计划逐步延伸至卒中、帕金森、抑郁症等全脑健康领域。

企业健康管理服务市场有哪些新动向?

平安好医生过去12个月服务付费企业客户超8100家,同比增长近60%,企业健管业务GMV持续增长;其升级“平安健康长寿管理服务体系”,联合首批40余家行业标杆企业成立长寿管理生态联盟,并揭幕全国11家平安健康长寿中心。

AI医疗平台如何提升复杂疾病诊疗准确率?

通过升级AI复杂疾病多学科会诊(MDT)辅助平台,覆盖四大类病种,复杂疾病多学科会诊诊疗方案准确率约90%,并以AI医生服务近1300万用户,提升专业医疗服务效率。

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