推出药智模型、上线AI全球找药，京东大药房想靠AI打造100个十亿级品牌

作者：亿邦动力文章来源：亿邦动力

2026-04-23 14:07

作者：亿邦动力文章来源：亿邦动力

2026-04-23 14:07

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京东大药房推出AI服务提升健康管理效率。

1. 药智模型基于4000万权威知识源和200万医疗实体数据训练，提供7X24小时在线服务，帮助用户将模糊不适诉求转化为清晰用药方案。

2. AI全球找药服务依托京东健康供应链和17万余条医药图谱，实现从用户需求判定到履约的寻药闭环，并提供就近购药定位。

3. 升级版“京东好药保”覆盖7000种原研药，报销比例60%，支持一键直赔，简化健康保险流程。

4. 京东健康设未来十年目标：打造100个年销售额过10亿品牌，培育1000个亿级大单品，推动健康产业规模化发展。

京东健康开放AI能力助力品牌营销和产品研发。

1. 品牌营销方面，京东健康为药企提供定制化智能体，融合企业知识库构建专属“知识大脑”，并通过数字化学术推广平台精准推送内容，使用AI数字人专家互动。

2. 产品研发启示来自药智模型，基于亿级用户行为数据，分析消费趋势如用户用药痛点（不会用、用不好、难坚持），指导品牌优化产品设计。

3. 用户行为观察显示，AI服务如“药小智”具备长期记忆与反思模型，提升用户粘性，启示品牌渠道建设。

4. 未来目标打造10亿级品牌，提供合作机遇，结合健康保险升级覆盖广报销高，强化品牌定价竞争力。

京东健康政策解读带来增长市场和合作机会。

1. 政策支持方面，京东健康开放AI能力，包括定制化智能体服务，为药企提供合规、精准、全链路可追溯的学术推广平台，降低风险。

2. 增长市场机会体现在AI全球找药服务，依托供应链优势，满足消费需求变化如就近购药需求，提示事件应对措施。

3. 合作方式包括数字化学术推广和健康保险升级，覆盖7000种原研药报销60%，提供扶持政策。

4. 可学习点来自药智模型7X24小时服务，解决用户痛点，启示最新商业模式如AI医生集群升级，应用于患者端、医生端和医院端。

5. 风险提示：未来十年目标打造100个10亿品牌，需关注市场动态，规避风向。

京东健康AI布局启示产品生产和数字化机会。

1. 产品生产需求基于药智模型数据，训练自4000万权威知识源和200万医疗实体，启示工厂优化设计如用药方案定制。

2. 商业机会来自AI全球找药服务，展示供应链创新，推动工厂推进电商化，例如就近购药定位服务。

3. 推进数字化启示：京东健康开放AI能力，为药企构建知识大脑，工厂可借鉴数字化学术推广，提升生产效率。

4. 未来目标培育1000个亿级大单品，结合健康保险覆盖广，提供产品研发合作机遇。

行业新技术解决客户痛点，京东健康AI驱动发展趋势。

1. 新技术如药智模型基于亿级用户行为数据训练，提供7X24小时在线服务，解决用户“不会用、用不好、难坚持”痛点。

2. 解决方案包括AI全球找药服务，实现寻药闭环，依托17万余条医药图谱，满足客户需求判定到履约的痛点。

3. 行业发展趋势显示AI医生集群升级，应用于患者端、医生端和医院端，如“AI京医”服务矩阵，提供家庭智能健康管家方案。

4. 客户痛点分析：药小智具备长期记忆与反思模型，量身定制用药管理，启示服务方案优化。

京东健康平台最新做法优化运营管理和招商。

1. 平台需求满足：推出药智模型和AI全球找药服务，提供7X24小时在线咨询和就近购药，解决用户用药问题。

2. 最新做法包括开放AI能力，为药企定制化智能体，构建知识大脑，并打造合规、精准的数字化学术推广平台。

3. 平台招商方面，健康保险升级覆盖7000种原研药报销60%，吸引合作伙伴，支持一键直赔简化流程。

4. 运营管理优化：AI医生集群升级，定位为家庭智能健康管家，启示风向规避如精准识别目标人群。

5. 未来目标打造100个10亿品牌，提供平台扩展机会。

产业新动向揭示AI应用商业模式和政策启示。

1. 产业新动向：京东健康推出药智模型，基于大数据训练，应用于医疗健康领域，如AI医生智能体集群升级患者端服务。

2. 新问题如用户用药痛点（不会用、用不好、难坚持），通过“药小智”长期记忆模型解决，引发对合规性和数据隐私的思考。

3. 商业模式：定制化智能体为药企构建知识大脑，数字化学术推广平台全链路可追溯，提供政策启示。

4. 未来十年目标打造100个10亿品牌，结合健康保险60%报销比例，启示政策法规建议如健康产业规范化。

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

JD Health's Pharmacy Launches AI Services to Enhance Health Management Efficiency

1. The PharmaWisdom AI model, trained on 40 million authoritative knowledge sources and 2 million medical entity data points, provides 24/7 online services. It helps users translate vague discomfort descriptions into clear medication plans.

2. The AI Global Drug Search service leverages JD Health's supply chain and a medical knowledge graph of over 170,000 entries. It creates a closed-loop process from user need identification to fulfillment, including nearby pharmacy location services.

3. The upgraded "JD Good Medicine Plan" now covers 7,000 original research drugs with a 60% reimbursement rate and supports one-click direct claims, significantly simplifying health insurance procedures.

4. JD Health has set a ten-year goal: to cultivate 100 brands with annual sales exceeding 1 billion RMB and 1,000 blockbuster products, driving scaled development in the health industry.

JD Health Opens AI Capabilities to Empower Brand Marketing and Product R&D

1. For marketing, JD Health offers pharmaceutical companies customized AI agents. These integrate corporate knowledge bases to create exclusive "Knowledge Brains" and utilize a digital academic promotion platform for precise content delivery and AI digital expert interactions.

2. Product R&D insights are derived from the PharmaWisdom model. By analyzing billions of user behavior data points, it identifies trends like user medication pain points (difficulty using, ineffective use, adherence issues), guiding brands to optimize product design.

3. User behavior observations show that AI services like "Yao Xiao Zhi" feature long-term memory and reflection models, enhancing user stickiness and offering insights for brand channel strategy.

4. The future goal of creating 1-billion-RMB brands presents collaboration opportunities. Coupled with upgraded health insurance offering broad coverage and high reimbursement, it strengthens brand pricing competitiveness.

JD Health Policy Insights Reveal Growth Markets and Partnership Opportunities

1. Policy Support: JD Health is opening its AI capabilities, including custom AI agent services, providing pharmaceutical companies with a compliant, precise, and fully traceable academic promotion platform, thereby reducing risks.

2. Growth Market Opportunity: The AI Global Drug Search service, leveraging supply chain strengths, meets evolving consumer demands like the need for nearby pharmacy access, suggesting event-responsive measures.

3. Collaboration Models include digital academic promotion and the upgraded health insurance plan, which covers 7,000 original drugs with 60% reimbursement, offering supportive policies.

4. Key Learnings from the PharmaWisdom model's 24/7 service, which addresses user pain points, illuminate new business models like the upgraded AI Doctor Cluster applied across patient, doctor, and hospital endpoints.

5. Risk Alert: The ten-year goal to build 100 1-billion-RMB brands necessitates close monitoring of market dynamics to navigate potential shifts.

JD Health's AI Strategy Offers Insights for Product Manufacturing and Digital Transformation

1. Product Manufacturing Needs are informed by data from the PharmaWisdom model, trained on 40 million knowledge sources and 2 million medical entities. This offers insights for optimizing design, such as custom medication plans.

2. Business Opportunities arise from the AI Global Drug Search service, showcasing supply chain innovation and encouraging factories to advance e-commerce integration, exemplified by the nearby pharmacy locator.

3. Digital Transformation Insights: JD Health's open AI capabilities, helping pharma companies build knowledge brains, provide a model for factories to adopt digital academic promotion and enhance production efficiency.

4. The future goal to cultivate 1,000 blockbuster products, combined with extensive health insurance coverage, presents product R&D collaboration opportunities.

Emerging Technologies Address Client Pain Points, JD Health Drives AI Trends

1. New Technologies like the PharmaWisdom model, trained on billions of user behavior data points, provide 24/7 online services addressing core user pain points: "difficulty using, ineffective use, and poor adherence."

2. Solutions include the AI Global Drug Search service, which creates a closed-loop drug finding process using a 170,000+ entry medical graph to address pain points from need identification to fulfillment.

3. Industry Trends indicate an upgrade to AI Doctor Clusters applied across patient, doctor, and hospital endpoints, such as the "AI Jing Doctor" service matrix, offering integrated family health management solutions.

4. Client Pain Point Analysis: Services like "Yao Xiao Zhi," with long-term memory and reflection models for personalized medication management, offer insights for optimizing service offerings.

JD Health's Latest Platform Strategies Optimize Operations and Merchant Acquisition

1. Platform Needs Met: The launch of the PharmaWisdom model and AI Global Drug Search provides 24/7 online consultations and nearby pharmacy services, solving user medication issues.

2. Latest Practices include opening AI capabilities to create customized AI agents for pharma companies, building knowledge brains, and establishing a compliant, precise digital academic promotion platform.

3. For Merchant Acquisition, the upgraded health insurance plan covering 7,000 original drugs with 60% reimbursement and one-click claims attracts partners by simplifying processes.

4. Operations Management Optimization: The upgraded AI Doctor Cluster, positioned as a family health manager, offers insights for risk avoidance, such as precise target audience identification.

5. The future goal of building 100 1-billion-RMB brands presents platform expansion opportunities.

Industry Shifts Reveal AI Application Models and Policy Implications

1. Industry Shifts: JD Health's launch of the PharmaWisdom model, applying big-data-trained AI in healthcare (e.g., upgraded AI Doctor agent clusters for patient services), represents a significant trend.

2. Emerging Issues like user medication pain points (usage difficulty, ineffectiveness, adherence) are addressed by "Yao Xiao Zhi's" long-term memory model, raising considerations for compliance and data privacy.

3. Business Models: Custom AI agents creating knowledge brains for pharma and fully traceable digital academic promotion platforms offer insights for policy development.

4. The ten-year goal to build 100 1-billion-RMB brands, combined with 60% health insurance reimbursement, suggests policy recommendations for standardizing the health 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.

4月22日，京东大药房在京举行十周年合作伙伴大会。会上，京东健康宣布了其在AI领域的一系列布局，包括推出“药智模型”、上线“AI全球找药服务”，并设定了未来十年打造100个年销售额过10亿品牌的目标。

01 基于药智模型推出“药小智” ，能够提供7X24小时在线服务

京东健康方面介绍，此次首次系统展示的“药智模型”，基于4000万权威知识源、200万医疗实体及亿级用户行为数据训练而成。该模型旨在让AI在病发前介入、用药时守护、康复后陪伴。

京东健康指出，基于药智模型，AI药师能够提供7X24小时在线服务，购药之前，它能将用户模糊的“不舒服”诉求转化为清晰的用药方案；购药过程中，它能提为用户提供供个性化的合理用药指导与风险评估；用户购药之后，它还会主动提醒复购、复诊，帮助慢性病用户延长规范用药周期。从被动的应答者到主动的陪伴者。

京东健康方面特别强调：“正式上线的‘药小智’具备长期记忆与反思模型，能为患者量身定制从用药指导、用药计划、用药提醒的管理方案，解决患者‘不会用、用不好、难坚持’的痛点。”

02 “AI全球找药服务”从用户需求出发，提供就近购药服务

“AI全球找药服务”依托京东健康的医药供应链、药智模型及17万余条医药图谱，能够从用户需求判定、药品寻源、引入到履约的寻药闭环。基于合作的医疗机构，可为用户提供就近购药的定位服务。

此外，会上，京东健康宣布AI医生智能体集群全新升级。其自研的医疗大模型“京医千询”将主要在患者端、医生端和医院端三个场景应用。患者端，推出“AI京医”服务矩阵，包含AI医生、药师、营养师等角色，并推进名医专家智能体建设，定位为“家庭智能健康管家”；医生端，推出“京东智医”，整合全球医学文献与临床指南，旨在辅助医生提高诊疗效率和科研成果转化。

03 京东健康向药企提供定制化智能体

京东健康表示，将向药企合作伙伴开放AI能力，具体方式包括，定制化智能体：为药企融合其自身知识库，构建专属的“知识大脑”；数字化学术推广：打造一个声称具备合规、精准、全链路可追溯特性的推广平台，包括使用高仿真AI数字人专家进行学术讲解与互动，并精准识别目标人群，推送个性化内容。

此外，京东健康发布了升级版的“京东好药保”。据介绍，该健康险产品覆盖京东大药房超过7000种原研药，提供60%的报销比例，并实现“一键直赔”。

京东集团副总裁、京东健康医药业务总经理宋志瑞提出了京东大药房未来十年的目标：“和大家一起共同打造100个年销售额过10亿的品牌，培育1000个亿级的大单品。”

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FAQ回顾

京东健康推出的“药智模型”是什么，有什么功能？

京东健康的“药智模型”是基于4000万权威知识源、200万医疗实体及亿级用户行为数据训练而成的大模型。其核心功能是通过AI药师“药小智”提供7x24小时在线服务，包括将用户症状转化为用药方案、提供个性化用药指导与风险评估，以及主动进行用药提醒与复诊管理。

京东健康的“AI全球找药服务”如何运作？

“AI全球找药服务”依托京东健康的医药供应链、药智模型及17万余条医药图谱，实现从用户需求判定、药品寻源、引入到履约的闭环。该服务可基于合作的医疗机构，为用户提供就近购药的定位服务。

京东大药房未来十年的发展目标是什么？

京东大药房计划在未来十年内，与合作伙伴共同打造100个年销售额过10亿的品牌，并培育1000个销售额达亿级的大单品。

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2026-04-23 13:13:41