平安好医生上线“AI+真人”健身私教从问诊延伸到运动干预场景

亿邦动力 2026-08-13 17:06

亿邦动力 2026/08/13 17:06

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本文核心介绍平安好医生最新上线的AI+真人双师健身私教服务，适合有居家运动需求的普通用户了解，相关干货信息如下

1. 服务核心优势：该服务依托34点骨骼识别技术，可以实时捕捉、矫正运动姿态，覆盖体态纠正、体能训练、慢痛康复、产后恢复等7大类课程。和普通健身短视频不同，有真人健管师全程盯着动作实时纠错，还能根据个人身体情况动态调整训练计划，解决普通人居家运动没人教、做错不自知的核心痛点。

2. 实操福利：当前服务刚上线，用户进入平安好医生App首页的智享家医页面，即可1分钱申领AI陪练私教的限量体验资格，有需求的用户可以及时申领体验。

本文给到健康领域品牌商不少干货参考，围绕品牌运营和产品研发的相关信息总结如下

1. 消费趋势与用户痛点：当前家庭健康管理需求已经从基础问诊、慢病管理，延伸到居家主动运动干预场景，用户对专业居家运动指导需求强烈，普遍存在没人教、做错动作不自知的痛点，存在明确的市场机会。

2. 产品研发参考：可以借鉴AI+真人的双师模式，结合AI技术的标准化能力和真人服务的个性化能力，既控制服务成本又保障用户体验，贴合居家场景的需求。

3. 获客营销参考：新服务上线阶段可以采用低门槛体验的获客方式，用1分钱的超低门槛降低用户决策成本，拉动初始用户转化，同时可以依托原有用户基础延伸新场景，挖掘存量用户的新增值。

本文给健康服务类卖家整理的干货信息如下，涵盖机会、模式、运营等多个方面

1. 市场机会：当前居家运动干预是健康管理领域的新增量市场，原有问诊、慢病管理用户对主动健康运动有明确需求，市场缺口较大，新卖家切入和老卖家拓展都有空间。

2. 可借鉴商业模式：AI+真人双师模式适配线上居家场景，用AI解决动作捕捉矫正的标准化问题，用真人健管师解决实时纠错、个性化计划调整的问题，精准击中用户痛点，模式可复制性强。

3. 运营与机会提示：新服务上线可以用低门槛体验引流，能有效拉动用户尝试；同时依托原有流量场景延伸新业务，比从零起步拓新成本更低，成功概率更高，卖家可以结合自身原有业务做场景延伸。

本文给大健康相关生产制造类工厂的干货启示和机会总结如下

1. 产品开发方向：当前居家专业运动市场需求快速增长，用户对运动相关的配套产品、智能硬件有明显需求，工厂可以围绕居家运动场景开发适配的产品，比如配合AI运动识别的智能健身器材、配套康复训练的周边产品等，贴合市场新需求。

2. 商业合作机会：平安好医生等大型互联网医疗平台正在拓展运动干预新场景，需要上游供应链提供相关产品支持，工厂可以主动对接这类大平台的需求，开发定制化产品，拓展To B合作渠道，打开新的增长空间。

3. 数字化转型启示：工厂可以借鉴AI+真人结合的思路，对传统健身相关产品做数字化升级，在产品中融入智能识别、动态调整等功能，提升产品附加值，适配当前用户的新需求。

本文给健康运动相关服务商的干货内容总结如下，涵盖趋势、痛点、方案多个维度

1. 行业发展趋势：当前互联网医疗健康行业正在从传统的问诊、慢病管理等被动健康服务，向主动健康管理方向延伸，居家运动干预是明确的新增增长点，行业整体在扩容，相关服务商可以提前布局，对接平台需求抢占市场。

2. 核心客户痛点：不管是C端用户还是平台方，都面临居家运动专业指导缺失的问题，C端用户痛点是没人教、动作错了不知道、没有个性化计划，平台方需要成熟的运动服务方案填补场景空白，服务商可以针对性开发解决方案。

3. 成熟方案参考：AI+真人双师模式已经被验证能有效解决痛点，依托AI骨骼识别技术实现实时动作捕捉矫正，搭配真人健管师做个性化调整，兼顾效率和体验，服务商可以参考该模式优化自身服务。

本文给互联网健康类平台商的干货参考总结如下

1. 用户需求与平台增长方向：平台现有用户除基础问诊、慢病管理需求外，对居家主动运动干预有明确的延伸需求，平台拓展该场景可以挖掘现有用户的生命周期价值，带来新的营收增长点，尤其是数据显示企业客户增长快速，企业员工健康管理也可以结合该服务做延伸。

2. 平台运营做法参考：平安好医生选择对原有智享家医功能做升级接入新服务，借助原有流量池降低获客成本，上线阶段用1分钱低门槛体验拉动用户初始转化，这套运营路径适合同类平台借鉴。

3. 产品模式参考：AI+真人双师模式适配线上平台的居家场景，既用AI降低了规模化服务的成本，又用真人保障了服务体验，解决了纯AI或纯内容无法解决的个性化问题，适合平台引入该模式打造新服务板块。

本文给互联网医疗健康产业研究者提供的干货信息总结如下

1. 产业新动向：当前互联网医疗健康产业正在发生场景延伸，从传统的问诊、慢病管理等疾病类干预服务，向主动预防、运动干预等全链路健康管理拓展，产业边界不断拓宽，主动健康成为新的产业发展方向。

2. 商业模式创新：平安好医生推出的AI+真人双师私教，是依托原有平台资源拓展新场景的典型创新，依托存量医疗用户、AI技术能力和医生资源，切入运动健康赛道，为互联网医疗平台开辟了新的营收增长路径，具备研究价值。

3. 最新产业研究数据：本文公布了平安好医生2026年一季度最新运营数据，总收入11.59亿元同比增长9.1%，经调整净利润0.84亿元同比增长45.8%，过去12个月付费企业客户超7500家同比增长近89%，AI医生使用人数超560万人，这些数据可以作为产业研究的基础资料，反映当前互联网医疗产业的盈利化增长趋势。

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Quick Summary

This article introduces Ping An Good Doctor’s newly launched AI-human hybrid personal fitness coaching service, and provides key takeaways for users looking for at-home workout solutions:

1. Core advantages: The service leverages 34-point skeletal recognition technology to capture and correct exercise postures in real time, covering seven major course categories including posture correction, fitness training, chronic pain rehabilitation, and postnatal recovery. Unlike generic workout short videos, it pairs AI with a human fitness coach who monitors movements in real time, corrects errors, and dynamically adjusts training plans based on each user’s physical condition. This addresses the core pain points of home workouts: lack of professional guidance and unrecognized incorrect form for casual exercisers.

2. Current promotion: As the service has just launched, users can access the "Smart Home Healthcare" page on the Ping An Good Doctor app homepage to claim a limited trial of the AI-powered personal coaching service for only 1 cent. Eligible users are encouraged to claim the offer promptly.

This article shares key insights for brand players in the health sector, with key takeaways for brand operations and product R&D summarized as follows:

1. Consumer trends and unmet user needs: Family health management demand has expanded beyond basic consultation and chronic disease management to active at-home exercise intervention. Users have strong demand for professional at-home workout guidance, and the widespread pain points of lack of instruction and unrecognized incorrect form create clear market opportunities.

2. Product R&D reference: Brands can adopt the AI-human hybrid model, which combines the standardization capabilities of AI technology with the personalized support of human services. This approach balances service cost control and user experience, perfectly aligning with the needs of at-home workout scenarios.

3. Customer acquisition and marketing reference: For newly launched services, a low-threshold trial strategy works effectively. A 1-cent entry point drastically lowers user decision friction to drive initial conversion. In addition, brands can expand into new scenarios based on their existing user base to unlock new value from existing customers.

This article summarizes key takeaways for health service sellers covering market opportunities, business models and operations, as follows:

1. Market opportunity: At-home exercise intervention is a new growth market in the health management sector. Existing users of consultation and chronic disease management services have clear demand for active health workouts, creating a large market gap that offers room for both new entrants and existing sellers looking to expand their offerings.

2. Replicable business model reference: The AI-human hybrid model is well-suited for online at-home scenarios. AI handles the standardized work of motion capture and correction, while human fitness coaches address real-time error correction and personalized plan adjustment. This combination hits user pain points precisely and is highly replicable.

3. Operational tips: Low-threshold trials are an effective way to drive user trial for new service launches. Expanding new business from existing traffic scenarios also delivers lower acquisition costs and higher success rates than building a user base from scratch, so sellers can extend their existing business into this new scenario.

This article summarizes key insights and opportunities for manufacturing factories in the big health sector, as follows:

1. Product development direction: Demand for professional at-home workout products is growing rapidly, and users have clear demand for complementary fitness products and smart hardware. Factories can develop scenario-adapted products for at-home workouts, such as AI motion recognition-enabled smart fitness equipment and accessories for rehabilitation training, to align with new market demands.

2. Business cooperation opportunities: Large internet healthcare platforms like Ping An Good Doctor are expanding into exercise intervention scenarios and need product support from upstream supply chains. Factories can proactively partner with these large platforms to develop customized products, expand B2B cooperation channels, and unlock new growth.

3. Digital transformation insights: Factories can draw on the AI-human combination approach to digitally upgrade traditional fitness products, integrating intelligent recognition and dynamic adjustment functions to increase product added value and meet evolving user demands.

This article summarizes key insights for health and fitness-related service providers covering industry trends, pain points and solutions, as follows:

1. Industry development trend: The internet healthcare industry is expanding from traditional passive health services such as consultation and chronic disease management to active health management, and at-home exercise intervention is a clear new growth point driving industry-wide expansion. Relevant service providers can prepare early and position themselves to capture market share by partnering with platform demands.

2. Core customer pain points: Both end-users and platforms face a lack of professional at-home workout guidance. For C-end users, the core pain points are lack of instruction, unrecognized incorrect form, and the absence of personalized plans, while platforms need mature workout service solutions to fill scenario gaps. Service providers can develop targeted solutions to address these needs.

3. Proven solution reference: The AI-human hybrid model has been validated to effectively address these pain points. AI-powered skeletal recognition enables real-time motion capture and correction, while human fitness coaches deliver personalized adjustments, balancing operational efficiency and user experience. Service providers can reference this model to optimize their own offerings.

This article summarizes key insights for internet health platform operators, as follows:

1. User demand and platform growth direction: Beyond basic consultation and chronic disease management, existing platform users have clear extended demand for active at-home exercise intervention. Expanding into this scenario allows platforms to unlock greater lifetime value from existing users and open up new revenue streams. Notably, data shows corporate client growth is accelerating, so this service can also be extended to corporate employee health management.

2. Operational best practices reference: Ping An Good Doctor integrated the new service by upgrading its existing "Smart Home Healthcare" feature, leveraging its existing user base to lower customer acquisition costs, and used a 1-cent low-threshold trial to drive initial user conversion after launch. This operational path is suitable for peer platforms to replicate.

3. Product model reference: The AI-human hybrid model is well-suited for at-home scenarios on online platforms. It reduces the cost of large-scale service delivery via AI while guaranteeing service quality through human support, addressing the personalization gap that pure AI or pure content offerings cannot solve. It is an ideal model for platforms to adopt when building new service segments.

This article summarizes key insights for researchers in the internet healthcare industry, as follows:

1. New industry trends: The internet healthcare industry is currently expanding its scope of scenarios, extending from traditional disease-focused interventions such as consultation and chronic disease management to full-cycle health management including proactive prevention and exercise intervention. The industry boundary is continuously expanding, and active health has become a new core development direction for the sector.

2. Business model innovation: Ping An Good Doctor’s newly launched AI-human hybrid personal coaching service is a representative innovative example of expanding into new scenarios based on existing platform resources. Leveraging its existing base of healthcare users, AI technical capabilities, and clinician resources, the company has entered the exercise and health track, opening up a new revenue growth path for internet healthcare platforms that offers significant research value.

3. Latest industry research data: This article shares Ping An Good Doctor’s latest operating data for Q1 2026: total revenue reached 1.159 billion yuan, up 9.1% year-on-year; adjusted net profit hit 84 million yuan, up 45.8% year-on-year; paid corporate clients totaled more than 7,500 over the past 12 months, an almost 89% year-on-year increase; and monthly active AI doctor users exceeded 5.6 million. These data can serve as foundational material for industry research, reflecting the current profitable growth trend of the internet healthcare industry.

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 .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】8月13日，亿邦动力获悉，位于平安好医生App的智享家医完成功能升级，正式接入”平安智享私教”AI运动陪练能力，把家庭健康管理从问诊、慢病管理，延伸到居家主动运动干预场景。

该服务相关负责人介绍，这套“AI+真人”的双师私教，依托34点骨骼识别技术，可以实时捕捉、矫正运动姿态，覆盖体态纠正、体能训练、八段锦、慢痛康复、产后恢复等7大类课程。“区别普通健身短视频，它不只播放教程，远程是有真人健管师盯着你的动作实时纠错，根据个人身体情况动态调整训练计划，解决普通人居家运动“没人教、做错不自知”的痛点，满满体验感和获得感。”他表示。

据介绍，在全新服务上线阶段，用户进入平安好医生App首页的智享家医页面，即可1分钱申领AI陪练私教限量体验资格。

平安好医生是平安集团旗下的互联网医疗健康服务平台，成立于2014年，2018年5月在港交所挂牌上市。核心提供在线问诊、慢病管理及线下就医协助等服务。其主要服务个人用户及企业员工健康计划。

截至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%；经调整后净利润0.84亿元，同比增长45.8%。平台在过去12个月内服务的付费企业客户超7500家，同比增长近89%；AI医生使用人数超560万人。目前，平安好医生已连接超30万名实名注册医生，构建了涵盖在线咨询、转诊挂号、慢病管理、健康体检、养老服务的完整医疗健康服务体系。

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