覆盖9000万月活用户：平安智享家医以“AI+真人”双引擎构建国民主动健康服务新范式

This is a national proactive health service launched by Ping An Good Doctor, powered by a dual engine of AI and human professionals. It has been integrated into all ecosystem apps across Ping An Group, so users can access it directly without downloading a separate app, reaching 90 million monthly active users and meeting daily health needs across multiple scenarios.

1. Core competitive advantages: It provides 7/24 second-level response for daily health consultation, covering services such as initial symptom screening, health assessment and customized health plans. All AI-generated outputs are reviewed by licensed practicing physicians, and difficult or complex cases are automatically transferred to one-on-one consultations with specialist physicians, striking a good balance between efficiency and safety.

2. Tiered services cover diverse needs: It caters to preventive management for sub-health populations, refined control for people with chronic diseases, triage, appointment and accompaniment for in-person care, and one-hour emergency medicine delivery. It also offers customized in-home services for special groups, and can deliver personalized health management plans tailored to each individual user.

This article outlines the innovative development path of Ping An Smart Home Doctor, offering multi-dimensional references for brands in the health and medical industry.

1. Shifting consumer trends: Chinese consumers' health demands have shifted from traditional disease treatment to full-cycle needs including proactive prevention, continuous management and all-around coverage. Users now demand multi-layered, personalized family health services, which traditional service models can no longer meet.

2. Insights for channel development: Brands can leverage group ecosystem advantages to embed their services into high-frequency daily scenarios such as wealth management, travel and daily life, eliminating the need to develop a standalone app for customer acquisition. This allows brands to reach a massive monthly active user base, achieve large-scale inclusive coverage, and significantly cut customer acquisition and marketing costs.

3. Product development direction: Adopting a dual-engine model of large AI models with human review, developing tiered services for different population groups to deliver personalized, user-specific solutions, while strictly upholding medical quality and safety standards, can effectively solve common industry pain points and build strong brand reputation.

The upgrade of Ping An Smart Home Doctor has clarified new market opportunities and development directions for industry practitioners in the health and medical sector.

1. Market opportunity assessment: Against the backdrop of China's national implementation of the Healthy China 2030 strategy, Chinese consumers' health demands are upgrading, and proactive health management is a high-growth track with massive unmet needs and broad room for development.

2. Replicable business model to learn from: The ecosystem embedding model acquires users through existing ecosystem traffic to cut standalone customer acquisition costs, uses AI to handle high-frequency demands and improve efficiency, and leverages human physicians as a professional safety backstop. This model has been validated and is ready for replication.

3. Opportunity and risk notes: Sellers can connect with offline medical and pharmaceutical resources, develop customized services for niche groups such as chronic disease patients, seniors and mothers and babies to tap into new demand; at the same time, they must strictly enforce medical quality control and establish a professional review mechanism to avoid medical safety risks.

This article reveals shifting demand on the health consumer side, offering insights for digital transformation and business expansion for manufacturing factories in the big health sector.

1. Product design and development direction: Health demand has shifted to proactive prevention and personalized full-cycle management, and niche groups including chronic disease patients, seniors, and mothers and babies all have segmented demand for health products. Factories can develop differentiated products tailored to specific needs for different scenarios such as sub-health conditioning, chronic disease care, home-based wellness and postnatal care, to avoid homogeneous competition.

2. Insights for digital transformation: AI-powered big data can already generate user health profiles and identify precise demand. Factories can advance digital transformation, connect with platform user data, optimize product R&D direction, and match user demand more accurately.

3. New business opportunities: Factories can partner with large ecosystem platforms like Ping An, join their platform service network to gain stable traffic and exposure, expand product sales channels, and reach a broader user base.

This article sorts out development trends, core pain points and mature solutions for the internet healthcare industry, offering high reference value for health service providers.

1. Industry development trends: Digitalization, inclusiveness and scenario-based embedding are the core directions for high-quality development of the internet healthcare industry, and proactive health management has become a mainstream industry track with enormous development potential.

2. Core customer pain points: The industry generally suffers from uneven distribution of medical resources and cumbersome in-person care processes, while traditional online healthcare services face problems such as limited functions, insufficient intelligence, lack of professional review and narrow scenario coverage, making them unable to meet users' multi-layered personalized demands.

3. Actionable solutions: Service providers can adopt the dual-engine model of large AI models plus human physicians: AI handles high-frequency consultations to improve efficiency, while human physicians conduct full-process review to guarantee safety. Connecting to full ecosystem scenarios enables inclusive coverage, integrating online and offline resources builds closed-loop services, and offering customized services for different groups meets users' full-cycle health needs.

The operating practice of Ping An Smart Home Doctor provides a reference sample for operation management and risk mitigation for healthcare platforms.

1. Users' core demands for platforms: Users want full-scenario accessible, professional, personalized full-cycle health services, and prefer to access medical services with one click in their daily high-frequency scenarios instead of downloading multiple separate apps.

2. Replicable operational practices for platforms: Leveraging a group's multi-business ecosystem to embed services into high-frequency traffic portals such as insurance, banking and car owner services enables large-scale user coverage without independent customer acquisition; building a full-process quality control system combining AI and human professionals strictly upholds medical safety standards and balances efficiency and professionalism; integrating offline medical and pharmaceutical resources to build a full closed-loop service covering prevention, management, medical consultation and medication improves user experience.

3. Key points for risk mitigation: Platforms must establish a professional medical backstop mechanism, avoid over-reliance on AI, strictly adhere to medical quality and safety red lines, avoid homogeneous services, and build a personalized service system to improve user stickiness.

This article introduces the latest industrial trends in the internet healthcare sector and proposes a new service paradigm, offering high reference value as source material for industrial research.

1. New industrial trends: Chinese consumers' health demands are undergoing structural upgrading, shifting from traditional disease treatment to proactive prevention and full-cycle health management. Digitalization, inclusiveness and scenario-based embedding have become the core directions for high-quality development of internet healthcare. Large AI models are now being deeply applied in clinical-assisted health services, driving industry-wide improvement in quality and efficiency.

2. Innovative business model: Ping An Smart Home Doctor has created a dual-engine service model featuring AI-powered second-level response with full supervision from human physicians. It leverages Ping An Group's full ecosystem matrix to embed services across all scenarios, reaching massive users without a standalone app for customer acquisition, and integrates offline and online medical resources to build a closed-loop health management system. It has achieved large-scale, normalized and inclusive delivery of high-quality family doctor services, and established a widely replicable new paradigm for digital family health services.

3. Existing industrial problems: Traditional offline healthcare suffers from uneven resource distribution and cumbersome care processes, while traditional online healthcare has weaknesses including limited functions, insufficient intelligence and lack of professional review. Further innovation and upgrading are required for the industry to solve these problems.