日均咨询涨70%、28.2秒响应：平安好医生交出"春节不打烊"服务答卷

作者：龚作仁文章来源：Laborer

2026-02-28 17:37

作者：龚作仁文章来源：Laborer

2026-02-28 17:37

邦小白快读

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平安好医生春节期间服务表现突出，重点信息和实操干货如下。

1. 服务数据亮眼：日均用户咨询量同比上涨近70%，图文问诊平均响应时效仅28.2秒，线下就医协助人次同比增长29%，体现高效响应能力。

2. AI驱动实操模式：采用“AI前置初筛与分诊+人工深度问诊”的双轮驱动，AI医生快速收集需求并初步分析病情，专科医生负责核心诊断，提升效率并保障98%的咨询准确率。

3. 线上线下服务案例：到院服务如绿通机制快速诊断急性脑梗死患者；到企活动覆盖超万名员工，提供中医把脉等健康管理；到家服务解决偏远地区用药难，如海岛儿童鼻炎药品当天送达。

品牌营销和产品研发在消费趋势中展现创新。

1. 品牌营销策略：通过“春节不打烊·平安佑健康”行动，强化品牌形象，AI技术提升用户体验，响应时间短促用户咨询量增70%。

2. 产品研发亮点：自研“平安医博通”大模型和“7+N+1”AI医疗产品矩阵，应用于医疗、健康、养老场景，复杂疾病MDT准确率近90%，推动技术迭代。

3. 消费趋势与用户行为：用户行为显示线上问诊需求旺盛，线下服务增长29%；消费趋势指向全场景覆盖，如到企健康集市精准落职场，用户反馈“不用跑医院解决问题”。

4. 品牌渠道建设：依托线上线下网络，构建“到院、到企、到家”渠道，案例包括港口企业合作，强化服务落地。

事件应对和增长市场提供可学习机会。

1. 消费需求变化机会：春节期间咨询量涨70%，提示医疗健康服务需求旺盛，增长市场潜力大；异地突发急症增多，机会提示线上线下协同应对。

2. 事件应对措施：AI分诊机制高效处理海量需求，平均响应28.2秒；风险提示如节日医疗资源短缺，通过绿通和会诊规避。

3. 可学习点与商业模式：最新“人+机+生态”模式，AI前置初筛提升效率；合作方式如到企活动360余场，覆盖员工；扶持政策启示：技术赋能服务普惠。

4. 正面影响案例：武汉检测中心快速诊断脑梗死，深圳长者骨折会诊30分钟连线专家，展示高效调度。

数字化启示和商业机会在产品生产中凸显。

1. 产品生产需求：AI技术如医疗大模型应用，提升设计效率，AI辅助咨询准确率98%，启示推进数字化生产。

2. 商业机会：线上线下服务网络扩展，如到院、到企、到家场景，提供制造启示；案例中AI累计服务超1000万人，日均咨询30万，显示电商化潜力。

3. 推进数字化启示：自研AI产品矩阵落地医疗场景，复杂疾病处理高效；商业机会在服务落地，如健康集市设置专业检测，优化产品设计。

行业发展趋势和解决方案解决客户痛点。

1. 行业发展趋势：AI医疗普及，数据显日均咨询量超30万；新技术如“平安医博通”大模型驱动分诊，响应时间28.2秒，趋势指向AI+人工协同。

2. 客户痛点解决方案：解决节日医疗资源收缩痛点，AI前置分诊承接需求；到院绿通机制应对急症，如脑梗死快速诊断；到家服务缓解偏远地区用药难，案例中药品跨海送达。

3. 解决方案创新：全场景服务矩阵，包括到企健康管理活动，覆盖员工痛点；新技术应用准确率高，提供高效支持。

平台运营管理和最新做法优化服务。

1. 平台需求与问题：高效处理海量问诊需求，AI分诊解决响应时效问题；商业需求指向全场景覆盖，如到院、到家服务管理。

2. 最新做法：人+机模式运营，AI前置初筛链接专科医生；平台招商启示：合作企业如港口健康集市；运营管理数据：日均咨询量涨70%，线下协助增29%。

3. 风向规避：保障医疗严肃性，AI准确率98%规避风险；案例中绿通机制和会诊安排展示高效调度。

产业新动向和商业模式提供政策启示。

1. 产业新动向：AI医疗崛起，数据显累计服务超1000万人；新问题如节日医疗资源分配挑战，案例中异地急症增多。

2. 商业模式分析：“人+机+生态”闭环高效连接资源，AI前置分诊+人工诊断提升效率；政策法规启示：推动医疗普惠，CEO观点“以人为中心”回归。

3. 研究启示：技术演进如自研大模型，准确率高；商业模式创新启示线上线下协同，案例到企活动覆盖员工，提供产业参考。

声明：快读内容全程由AI生成，请注意甄别信息。如您发现问题，请发送邮件至 run@ebrun.com 。

我是品牌商卖家工厂服务商平台商研究者帮我再读一遍。

Quick Summary

Ping An Good Doctor demonstrated strong service performance during the Spring Festival, with key information and practical insights as follows.

1. Impressive service metrics: Daily average user consultations increased by nearly 70% year-on-year, with an average response time of just 28.2 seconds for text and image-based inquiries. Offline medical assistance services grew by 29%, reflecting high operational efficiency.

2. AI-driven operational model: The dual-drive approach of "AI-powered initial screening and triage + in-depth human consultation" enables AI doctors to quickly gather needs and conduct preliminary analysis, while specialists handle core diagnostics, boosting efficiency and ensuring a 98% consultation accuracy rate.

3. Integrated online-offline service cases: Hospital services, such as the green channel mechanism, enabled rapid diagnosis of acute cerebral infarction patients. Corporate health activities covered over 10,000 employees, offering traditional Chinese medicine pulse diagnosis and health management. Home delivery services addressed medication access issues in remote areas, such as same-day delivery of pediatric rhinitis medication to an island community.

Brand marketing and product R&D showcase innovation aligned with consumer trends.

1. Brand marketing strategy: The "No Holiday, Ping An Protects Health" campaign reinforced brand image, with AI technology enhancing user experience and a 70% surge in consultations driven by rapid response times.

2. Product R&D highlights: The self-developed "Ping An Medical Brain" large model and the "7+N+1" AI medical product matrix are applied across medical, health, and elderly care scenarios, achieving nearly 90% accuracy in complex disease multidisciplinary team (MDT) diagnoses and driving technological iteration.

3. Consumer trends and user behavior: Strong demand for online consultations is evident, with offline services growing by 29%. Trends point to full-scenario coverage, such as workplace health fairs that precisely meet employee needs, with users reporting "no need to visit hospitals to solve problems."

4. Brand channel development: Leveraging online and offline networks, the brand has built "hospital, corporate, and home" service channels, including partnerships with port enterprises to strengthen service implementation.

Event response and growth markets offer actionable learnings.

1. Shifts in consumer demand opportunities: A 70% increase in Spring Festival consultations highlights robust demand for medical and health services, indicating significant growth market potential. Rising cases of acute illnesses away from home underscore opportunities for integrated online-offline solutions.

2. Event response measures: AI triage efficiently handled high-volume demand with an average 28.2-second response time. Risk mitigation, such as holiday medical resource shortages, was addressed through green channels and consultations.

3. Learnings and business models: The latest "Human + Machine + Ecosystem" model uses AI for preliminary screening to boost efficiency. Collaboration methods, including over 360 corporate events covering employees, and supportive policies demonstrate how technology enables accessible services.

4. Positive impact cases: Rapid diagnosis of cerebral infarction at a Wuhan testing center and a 30-minute expert consultation for an elderly fracture patient in Shenzhen showcase efficient resource coordination.

Digitalization insights and commercial opportunities are highlighted in product production.

1. Product production needs: AI technologies, such as medical large models, enhance design efficiency, with AI-assisted consultations achieving 98% accuracy, offering lessons for advancing digital production.

2. Commercial opportunities: The expansion of online-offline service networks—covering hospital, corporate, and home scenarios—provides manufacturing insights. Cases show AI has served over 10 million cumulative users with 300,000 daily consultations, indicating e-commerce potential.

3. Digitalization advancement insights: Self-developed AI product matrices are deployed in medical settings, enabling efficient complex disease handling. Commercial opportunities lie in service implementation, such as health fairs with professional testing to optimize product design.

Industry trends and solutions address client pain points.

1. Industry development trends: AI healthcare is gaining traction, with data showing over 300,000 daily consultations. New technologies like the "Ping An Medical Brain" large model drive triage, with a 28.2-second response time, pointing to a trend of AI-human collaboration.

2. Client pain point solutions: AI preliminary triage addresses holiday medical resource constraints. Hospital green channels manage emergencies like rapid cerebral infarction diagnosis. Home services alleviate medication access issues in remote areas, exemplified by cross-sea drug delivery.

3. Solution innovation: A full-scenario service matrix, including corporate health management activities, addresses employee pain points. High-accuracy technology applications provide efficient support.

Platform operations and latest practices optimize services.

1. Platform demands and challenges: AI triage efficiently handles high-volume consultation needs, addressing response time issues. Commercial demands focus on full-scenario coverage, such as hospital and home service management.

2. Latest practices: The "Human + Machine" operational model uses AI for initial screening before connecting to specialists. Partnership opportunities include corporate health fairs at ports. Operational data shows a 70% rise in daily consultations and a 29% increase in offline assistance.

3. Risk mitigation: A 98% AI accuracy rate safeguards medical seriousness. Cases like green channel mechanisms and consultation arrangements demonstrate efficient scheduling.

Industry dynamics and business models offer policy insights.

1. Industry new trends: AI healthcare is rising, with cumulative services exceeding 10 million users. Emerging challenges include holiday medical resource allocation, as seen in increased acute cases away from home.

2. Business model analysis: The "Human + Machine + Ecosystem" closed-loop efficiently connects resources, with AI preliminary triage and human diagnosis boosting efficiency. Policy implications include promoting healthcare accessibility, aligned with the CEO's vision of a "people-centered" approach.

3. Research insights: Technological advancements, such as self-developed large models with high accuracy, and business model innovations like online-offline integration—exemplified by corporate activities covering employees—provide industry references.

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.

2026年春节长假落下帷幕。在全国公众欢度佳节的同时，各类突发疾病、慢病管理及日常问诊需求依然旺盛。节日期间，平安好医生开展“春节不打烊·平安佑健康”服务保障行动，数据显示日均用户咨询量同比上涨近70%，线下就医协助人次同比增长29%，图文问诊平均响应时效28.2秒。值得注意的是，AI医生在面对海量问诊需求时，发挥了强大的前置支撑作用。

AI驱动极速分诊，“人+机+生态”模式领跑行业

据了解，春节期间平安家医始终保持7*24小时全天候在线，在线下医疗资源相对收缩、异地突发急症增多的情况下，AI大模型构筑起了承接海量就医需求的第一道防线。得益于平安AI医生高效的初筛与分诊能力，春节期间平台图文问诊平均响应时效保持在28.2秒的高水准。

春节值班的平安家医

这28.2秒接诊效率的背后，是平安好医生在医疗大模型与智能化应用领域的长期深耕。作为行业内较早构筑AI医疗底层基座的企业，平安好医生已建立起成熟的“人+机+生态”服务闭环。区别于其他平台依赖纯AI的模式，平安好医生的AI医生作为超级大脑，能在前端快速收集需求、初步分析病情，随后精准链接专科医生进行核心诊断与处方开具。这种“AI前置初筛与分诊+人工深度问诊”的双轮驱动模式，不仅大幅提升了接诊效率，也保障了线上问诊的医疗严肃性与准确率。

长期以来，平安好医生将AI作为服务效率和品质升级的重要抓手，依托全球领先的医疗数据库，自研“平安医博通”大模型，并推出“7+N+1”AI医疗产品矩阵，不断丰富AI在医疗、健康、养老等场景的落地应用。在这一协同机制下，目前其AI辅助咨询问诊准确率已达98%，复杂疾病MDT（多学科会诊）治疗方案准确率近90%。据统计，截至目前，平安AI医生已累计服务超1000万人，日均咨询量超30万，真正实现了让AI技术连接医生、患者与医疗机构等多方资源，形成更加高效、专业和以人为本的健康管理生态闭环。

线上线下协同发力，夯实全场景服务矩阵

不仅如此，平安好医生的核心护城河，更在于其能够依托庞大的线下服务网络，将线上需求迅速转化为“到院、到企、到家”的线下医健服务落地，为更为复杂的就医需求提供专业支撑。据了解，春节期间公司线下就医协助人次同比增长29%。

在“到院”方面，重疾急救的绿通机制发挥了关键作用。春节期间，公司旗下的武汉平安健康（检测）中心接诊了一名突发视力模糊的患者。中心立刻启动绿色通道，通过影像科定制的多模态MRI方案，迅速明确诊断为急性脑梗死，并第一时间转诊神经内科进行干预，为患者争取了宝贵的救治时间。在深圳，一位83岁长者在家中不慎摔倒导致股骨颈骨折。在节假日专家号一号难求的窘境下，家属通过平安名医服务团队在30分钟内连线到三甲医院骨科主任视频会诊，随后在团队协助下，妥善落实了老人的线下面诊与入院安排。

在“到企”方面，公司春节期间开展到企及拜访活动共计360余场，覆盖超万名员工，将专业的健康管理服务精准落入职场场景。节前，公司联合某港口企业，将一场“健康年货集市”开到了码头边，集市现场设置了中医把脉、报告解读、眼科咨询、鹰瞳检测等专业暖心服务。该企业的一名员工反馈：“年底容易疲劳，医生把脉后给出的调理意见很实用，不用跑医院就把问题解决了。”在“到家”方面，平台依托庞大的线下网络，有效缓解了长假期间偏远地区就医用药难的痛点。以异地突发急症就医为例，期间一东北家庭前往南方海岛过节，孩子因气候差异导致鼻炎复发，并伴随强烈的晕船反应。岛上医疗资源有限，家长通过平安好医生App 30秒内就连线到儿科医生，当天下午急需药品便跨越海浪送达患儿家属手中。

到企健康服务

平安管家上门关怀

在这个考验医疗健康管理平台服务能力的特殊节点，从AI初步分析、分诊，到专业医疗的精细、高效调度，平安好医生依托“到线、到院、到家、到企”网络和技术赋能构筑的“人+机+生态”服务闭环，为万千家庭筑起了一道坚实的健康防线。无论技术如何演进，医疗的终极诉求始终是人的健康与安心。平安好医生CEO何明科表示，未来公司将依托专业的医疗底座与科技能力，持续推动医疗健康服务向“以人为中心”的本质回归，助力优质医疗资源的普惠、下沉与高效链接。

注：文/龚作仁，文章来源：Laborer，本文为作者独立观点，不代表亿邦动力立场。

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FAQ回顾

平安好医生春节期间的医疗服务数据如何？

2026年春节期间，平安好医生日均用户咨询量同比上涨近70%，图文问诊平均响应时效为28.2秒，线下就医协助人次同比增长29%。AI医生累计服务超1000万人。

平安好医生的AI医疗模式有什么特点？

采用“AI前置初筛与分诊+人工深度问诊”的双轮驱动模式，AI辅助咨询问诊准确率达98%。自研“平安医博通”大模型，形成“7+N+1”AI医疗产品矩阵。

平安好医生如何实现线上线下服务协同？

通过“到院、到企、到家”网络，将线上需求转化为线下服务。例如提供重疾急救绿通、企业健康活动360余场，并为偏远地区配送药品。

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