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京东健康推出京东卓医2.0版本 覆盖临床营养、药事服务、体重管理三大核心场景

亿邦动力 2026-01-21 10:55
亿邦动力 2026/01/21 10:55

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京东健康推出京东卓医2.0版本,覆盖临床营养、药事服务、体重管理三大核心场景,提供实操干货。

1. 作为首个医院全场景应用的大模型产品,自2025年上线以来,已在温州医科大学附属第一医院、华中科技大学同济医学院附属协和医院、苏州市立医院等落地,累计服务患者超500万人次,验证了实际效能。

2. 升级版深度融合“AI+供应链”优势,通过卓医智脑构建系统,形成端到端闭环管理方案,用户可学习如何利用AI提升健康服务效率。

核心升级包括临床营养大模型模块。

1. 该模块与医院临床路径、信息系统一体化部署,实现从院内诊疗到院外连续管理,用户可关注其个性化营养方案制定流程。

2. 此前与温医大附一院合作的服务体系已服务超470万人次,显示模式可复制性,用户可借鉴其成功经验。

京东健康与营养品牌合作共建“AI+临床营养供应链生态”,提供品牌营销和渠道建设机会。

1. 通过整合行业优质营养产品资源与供应链服务能力,打通从个性化营养方案到精准产品配送的全链条,品牌可参与产品研发和定价策略。

2. 消费趋势显示医疗健康数字化需求增长,用户行为观察如患者超470万人次服务案例,表明特医食品等产品市场潜力大。

代表企业京东健康开放能力助力品牌扩展。

1. 京东集团SEC委员、京东健康CEO曹冬表示,开放“超级医药供应链”和医疗AI,品牌可学习合作方式,构建安全可靠渠道。

2. 此前“临床营养+特医食品”网络已验证效能,品牌可关注用户需求变化,优化产品线。

京东卓医2.0提供增长市场和合作机会,卖家可把握消费需求变化。

1. 医疗健康数字化趋势带来新商业模式,如AI+供应链生态,卖家可学习端到端管理方案,应对服务效率提升需求。

2. 正面影响包括服务超500万人次患者,案例显示合作医院如温医大附一院效能验证,卖家可借鉴事件应对措施。

机会提示和扶持政策开放。

1. 京东健康签约多家品牌共建生态,卖家可参与招商合作,获取供应链支持,规避风险如资源整合不足。

2. CEO曹冬强调构建“医疗数智化新基建”,卖家可关注政策解读启示,如可持续发展模式,学习最新合作方式。

工厂可参与京东健康“AI+临床营养供应链生态”,满足产品生产和设计需求。

1. 整合行业营养产品资源,需求特医食品等生产,工厂可把握商业机会,提供精准产品支持端到端配送。

2. 此前“临床营养+特医食品”网络服务超470万人次案例,显示市场潜力,工厂可优化生产流程应对需求变化。

推进数字化和电商启示。

1. 京东健康深度融合AI+供应链,工厂可学习如何整合资源推进电商化,如构建全链条供给通道。

2. 代表企业开放能力,工厂可关注合作方式启示,提升数字化水平,共享产业高质量发展机会。

行业发展趋势聚焦医疗AI和新技术应用,服务商可提供解决方案。

1. 京东卓医2.0展示AI+供应链融合趋势,如临床营养大模型技术,服务商可关注客户痛点如医疗效率低,开发类似系统。

2. 新技术包括卓医智脑构建基础能力,服务超500万人次案例,显示解决方案有效性,服务商可学习端到端管理。

客户痛点和行业机会。

1. 全程管理方案覆盖三大场景,解决如个性化营养服务需求,服务商可整合资源提供优化方案。

2. 代表观点京东健康CEO强调构建“医疗数智化新基建”,服务商可参与合作,应对行业新挑战。

平台商可关注京东健康最新做法和招商需求。

1. 商业对平台的需求如服务医院全场景,平台通过开放AI和供应链能力,提供运营管理支持,如构建生态适配系统。

2. 最新做法包括签约品牌共建“AI+临床营养供应链生态”,平台商可学习招商策略,吸引合作伙伴规避风向风险。

平台运营和机会启示。

1. 京东健康落地多家医院案例,如服务超500万人次,显示平台效能,平台商可优化管理流程,提升合作效率。

2. CEO曹冬表示开放能力构建新基建,平台商可关注政策启示,如可持续发展模式,强化平台服务功能。

产业新动向体现医疗数智化创新,研究者可分析商业模式。

1. 京东卓医2.0推动AI+供应链生态,形成端到端闭环管理,研究者可探讨新问题如如何实现高质量可持续发展。

2. 代表案例服务超500万人次,显示产业动向,研究者可评估政策法规建议,如构建可靠医疗基础设施启示。

商业模式和政策启示。

1. 临床营养大模型与医院系统一体化部署,研究者可研究其创新模式,如从院内到院外连续管理。

2. CEO观点强调助力产业高质量发展,研究者可推演政策支持需求,如合作方式对法规制定的影响。

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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 has launched JD Doctor 2.0, an upgraded version covering three core scenarios: clinical nutrition, pharmaceutical services, and weight management, providing practical guidance.

1. As the first large-scale model product applied across full hospital scenarios, it has been implemented in hospitals like The First Affiliated Hospital of Wenzhou Medical University, Union Hospital of Tongji Medical College at Huazhong University of Science and Technology, and Suzhou Municipal Hospital since its 2025 launch, serving over 5 million patients and validating its real-world effectiveness.

2. The upgraded version deeply integrates "AI + supply chain" advantages, forming an end-to-end closed-loop management solution through the JD Doctor AI Brain system, enabling users to learn how AI enhances health service efficiency.

Key upgrades include the clinical nutrition large model module.

1. This module is integrated with hospital clinical pathways and information systems, enabling continuous management from in-hospital treatment to post-discharge care, with users able to observe its personalized nutrition plan development process.

2. The previously established service system with The First Affiliated Hospital of Wenzhou Medical University has served over 4.7 million patients, demonstrating the model's replicability and providing transferable success cases.

JD Health collaborates with nutrition brands to build an "AI + Clinical Nutrition Supply Chain Ecosystem," offering brand marketing and channel development opportunities.

1. By integrating high-quality nutrition product resources with supply chain services, it creates a full-chain solution from personalized nutrition plans to precise product delivery, allowing brands to participate in product R&D and pricing strategies.

2. Consumer trends show growing demand for digital healthcare, with user behavior observations—such as the 4.7 million patient service cases—indicating significant market potential for products like special medical foods.

Representative company JD Health opens capabilities to support brand expansion.

1. JD Group SEC Committee member and JD Health CEO Cao Dong emphasized opening the "Super Medical Supply Chain" and medical AI, enabling brands to learn collaboration methods and build secure channels.

2. The existing "clinical nutrition + special medical foods" network has proven effective, allowing brands to monitor shifting user demands and optimize product lines.

JD Doctor 2.0 presents growth market and partnership opportunities, enabling sellers to capitalize on evolving consumer demands.

1. The digital healthcare trend introduces new business models like AI-driven supply chain ecosystems, allowing sellers to study end-to-end management solutions to meet rising service efficiency requirements.

2. Positive outcomes include serving over 5 million patients, with validated case studies from partner hospitals like The First Affiliated Hospital of Wenzhou Medical University providing actionable reference models.

Opportunity alerts and support policies are available.

1. JD Health has partnered with multiple brands to build the ecosystem, inviting sellers to join investment collaborations, access supply chain support, and mitigate risks like insufficient resource integration.

2. CEO Cao Dong highlighted building a "new digital-medical infrastructure," urging sellers to monitor policy interpretations for sustainable models and updated partnership approaches.

Factories can participate in JD Health’s "AI + Clinical Nutrition Supply Chain Ecosystem" to meet production and design needs.

1. By integrating industry nutrition product resources, there is growing demand for special medical food production, offering factories commercial opportunities to support precise, end-to-end distribution.

2. The existing network serving over 4.7 million patients demonstrates market potential, prompting factories to optimize production processes in response to demand shifts.

Digital and e-commerce insights are advancing.

1. JD Health’s deep integration of AI and supply chain offers factories guidance on resource integration and e-commerce advancement, such as building full-chain supply channels.

2. With leading companies opening capabilities, factories should focus on collaboration models to enhance digitalization and share high-quality industry development opportunities.

Industry trends focus on medical AI and new technology applications, creating solution opportunities for service providers.

1. JD Doctor 2.0 showcases AI-supply chain integration trends, such as clinical nutrition large model technology, enabling providers to address client pain points like low medical efficiency and develop similar systems.

2. New technologies, including the JD Doctor AI Brain’s foundational capabilities and the 5 million patient service cases, demonstrate solution effectiveness and offer end-to-end management insights.

Client pain points and industry opportunities.

1. End-to-end management solutions cover three core scenarios, addressing needs like personalized nutrition services, allowing providers to integrate resources for optimized offerings.

2. JD Health CEO Cao Dong emphasized building a "new digital-medical infrastructure," inviting service providers to collaborate and tackle industry challenges.

Platform operators should monitor JD Health’s latest strategies and partnership needs.

1. Business demands, such as serving full hospital scenarios, are met through open AI and supply chain capabilities, providing operational support like ecosystem-compatible systems.

2. Recent initiatives include partnering with brands to build the "AI + Clinical Nutrition Supply Chain Ecosystem," offering platform operators insights into recruitment strategies to attract partners and mitigate risks.

Platform operations and opportunity insights.

1. JD Health’s implementation in multiple hospitals, serving over 5 million patients, demonstrates platform efficacy, guiding operators to optimize management and partnership efficiency.

2. CEO Cao Dong highlighted open capabilities for building new infrastructure, urging platform operators to consider policy implications, such as sustainable models, to enhance service functions.

Industry developments reflect innovation in medical digitalization, offering researchers opportunities to analyze business models.

1. JD Doctor 2.0 advances AI-supply chain ecosystems with end-to-end closed-loop management, raising research questions like achieving high-quality sustainable development.

2. Case studies serving over 5 million patients indicate industry trends, enabling researchers to evaluate policy recommendations, such as building reliable medical infrastructure.

Business model and policy implications.

1. The integration of clinical nutrition large models with hospital systems allows researchers to study innovative approaches, like continuous in-hospital to post-discharge management.

2. CEO perspectives emphasize driving high-quality industry development, prompting researchers to assess policy support needs, including collaboration impacts on regulatory frameworks.

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】日前,京东健康正式推出京东卓医2.0版本。作为首个医院全场景应用的大模型产品,2025年上线以来,已在温州医科大学附属第一医院、华中科技大学同济医学院附属协和医院、苏州市立医院等医院落地,累计服务患者超500万人次。

此次,京东卓医2.0在1.0版本基础上实现核心升级,全新的京东卓医2.0深度融合了京东健康“AI+供应链”优势能力,通过卓医智脑(JoyDocBrain)构建基础系统与生态适配能力,形成覆盖临床营养、药事服务、体重管理三大核心场景的全程管理解决方案。

而“临床营养⼤模型”作为京东卓医2.0的重要专科能⼒模块,将与医院临床路径、信息系统及供给链路⼀体化部署,形成院内诊疗到院外连续管理的端到端闭环。

京东健康方面指出,在此之前,依托京东卓医,京东健康与温医大附一院联合打造的以人工智能驱动的患者服务体系及“临床营养+特医食品”网络,已服务患者超470万人次,模式和效能得到了充分验证。

据悉,京东健康已签约多家营养保健品牌共建“AI+临床营养供应链生态”,通过整合行业优质营养产品资源与供应链服务能力,打通从个性化营养方案制定到精准营养产品配送的全链条供给通道。

京东集团SEC委员、京东健康CEO曹冬表示,京东健康将行业领先的“超级医药供应链”能力与医疗AI产品系统性地开放给更广泛的合作伙伴,共同致力于构建安全、可靠、高效的“医疗数智化新基建”,以“AI+供应链”助力整个医疗健康产业的高质量、可持续发展

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。

文章来源:亿邦动力

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