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京东健康发布循证医学AI产品“知医” 向全体医生开放使用

亿邦动力 2026-01-21 10:51
亿邦动力 2026/01/21 10:51

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京东健康发布循证医学AI产品“知医”,免费向所有医生开放使用。

1.该产品整合千万级全球权威医学文献与指南,聚焦临床决策支持和科研学术两大场景,能筛选、整合信息并输出结构化、可落地的循证结论。

2.医生通过下载京东医生APP即可免费使用,无论是否已入驻京东健康平台。

该产品是京东健康AI服务矩阵的重要组成部分。

1.在现有技术架构中,包括“京医千询2.0”大模型等,覆盖智能分诊、随访、专病诊疗与科研支持等应用场景。

2.与医院合作构建的专科专病大模型提供全流程、全要素深度推理,具有真实应用价值。

京东健康互联网医疗服务已扩展至“AI+实物+服务”模式,贯穿“防筛诊治康”健康管理全周期,提供个性化解决方案。

京东健康通过“知医”AI产品强化品牌在健康科技领域的领导地位。

1.该产品定位为医生的“智能外脑”,整合权威医学资源,提升品牌专业形象和可信度,吸引医生用户群体。

2.免费向全体医生开放,作为品牌营销策略,扩大渠道建设和用户基础,反映消费趋势向数字化服务转移。

在产品研发和用户行为观察方面。

1.“知医”是京东健康AI服务系统的一部分,包括“京医千询2.0”等,展示持续创新和研发投入。

2.互联网医疗服务扩展至“AI+实物+服务”个性化解决方案,贯穿“防筛诊治康”,捕捉用户行为变化,如对便捷、高效健康管理的需求。

专病大模型合作模式提供品牌定价启示,通过免费服务建立市场入口,后续可能衍生付费模式。

京东健康“知医”的推出带来市场增长机会和风险提示。

1.产品免费向所有医生开放,降低入局门槛,可能增加服务需求和合作机会,如与医院合作构建专病大模型。

2.互联网医疗服务超越“在线问诊”,提供“防筛诊治康”全周期方案,提示卖家关注更广应用场景的需求变化。

在事件应对和商业模式方面。

1.AI技术覆盖智能分诊、随访等场景,提供正面影响如提升效率,但需注意竞争风险和技术更新压力。

2.扶持政策体现在免费使用和开放平台,卖家可学习京东健康整合“AI+实物+服务”的模式,拓展自身服务链。

机会提示包括与京东健康合作,利用其AI服务矩阵获取用户流量,或开发类似工具应对消费需求变化。

京东健康“知医”AI产品为工厂提供产品设计和生产需求的启示。

1.该产品整合循证医学结论输出结构化信息,可用于医疗设备或药品研发参考,优化产品设计。

2.推动数字化和电商启示,工厂可借鉴AI技术开发智能生产工具,提升效率和质量控制。

在商业机会方面。

1.与京东健康合作构建专病大模型,提供定制化解决方案的机会,如为工厂提供数据支持。

2.技术覆盖全流程深度推理,工厂可学习如何应用AI优化供应链管理,实现生产智能化转型。

京东健康AI服务矩阵展示数字化趋势,工厂可探索电商渠道整合,开发类似循证工具的商业产品。

京东健康“知医”产品反映行业发展趋势和新技术突破。

1.AI技术在医疗领域快速发展,覆盖临床决策、科研支持等场景,解决客户痛点如信息过载和决策效率低。

2.专病大模型提供全流程深度推理,作为新技术应用,提升服务解决方案的精准性和可落地性。

在客户痛点和解决方案方面。

1.“知医”输出结构化循证结论,为服务商提供可复用的工具模型,应对医生科研和诊疗需求。

2.京东健康整合“AI+实物+服务”模式,展示如何将技术应用于个性化健康管理,服务商可借鉴此方案优化自身产品。

行业趋势指向AI与大模型结合,服务商需关注类似技术如“京医千询2.0”的演进,以保持竞争力。

京东健康作为平台商通过“知医”强化运营管理和平台需求响应。

1.产品免费向医生开放使用,吸引更多用户入驻,提升平台活跃度和招商吸引力,规避用户流失风险。

2.已上线多个AI产品如“AI京医”专家医生智能体,覆盖分诊、随访等场景,优化平台服务管理。

在平台最新做法和风向规避方面。

1.与医院合作构建专科专病大模型,深化平台服务深度,满足商业对全流程、全要素的需求。

2.互联网医疗服务扩展至“防筛诊治康”闭环,提供个性化解决方案,规避单一服务风险,提升平台可持续性。

平台运营中,技术如智能分诊支持用户留存,京东健康做法可被其他平台学习以应对竞争。

京东健康AI技术引发产业新动向和新问题研究。

1.循证医学AI应用在临床和科研场景,可能带来政策法规建议,如数据隐私和伦理规范。

2.合作模式与医院构建专病大模型,提供商业模式研究案例,分析其全流程、全要素深度推理的实际价值。

在新启示和问题方面。

1.“AI+实物+服务”模式贯穿“防筛诊治康”健康管理周期,值得研究其可持续性和社会影响。

2.技术覆盖智能分诊、专病诊疗等,研究者可分析新问题如AI在医疗中的可及性差距或创新障碍。

京东健康服务扩展提示产业动向向个性化解决方案转移,研究者需探索政策建议以支持类似创新。

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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 an evidence-based medical AI product called "Zhiyi," which is available for free to all doctors.

1. The product integrates tens of millions of authoritative global medical literature and guidelines, focusing on clinical decision support and scientific research. It can filter, consolidate information, and output structured, actionable evidence-based conclusions.

2. Doctors can use it for free by downloading the JD Doctor app, regardless of whether they are already on the JD Health platform.

The product is a key component of JD Health's AI service ecosystem.

1. It is part of the existing technical architecture, which includes the "Jingyi Qianxun 2.0" large model, covering applications such as intelligent triage, follow-up, specialized disease diagnosis, and research support.

2. Specialized disease models developed in collaboration with hospitals provide end-to-end, in-depth reasoning with practical application value.

JD Health's internet healthcare services have expanded to an "AI + physical products + services" model, spanning the entire health management cycle from prevention and screening to diagnosis, treatment, and rehabilitation, offering personalized solutions.

JD Health strengthens its leadership in health technology with the launch of the "Zhiyi" AI product.

1. Positioned as a "smart external brain" for doctors, it integrates authoritative medical resources to enhance the brand's professional image and credibility, attracting the physician user base.

2. Free access for all doctors serves as a brand marketing strategy to expand channel development and user acquisition, reflecting the consumer shift toward digital services.

In terms of product development and user behavior observation:

1. "Zhiyi" is part of JD Health's AI service system, including "Jingyi Qianxun 2.0," demonstrating continuous innovation and R&D investment.

2. The expansion of internet healthcare to "AI + physical products + services" personalized solutions, covering the entire "prevention-screening-diagnosis-treatment-rehabilitation" cycle, captures changing user behaviors, such as demand for convenient and efficient health management.

The collaborative model for specialized disease models offers pricing insights for brands, using free services as a market entry point, with potential for future paid service models.

The launch of JD Health's "Zhiyi" presents market growth opportunities and risk considerations for sellers.

1. Free access for all doctors lowers the barrier to entry, potentially increasing service demand and partnership opportunities, such as collaborating with hospitals to build specialized disease models.

2. Internet healthcare services now extend beyond "online consultations" to offer full-cycle "prevention-screening-diagnosis-treatment-rehabilitation" solutions, indicating that sellers should monitor demand shifts in broader application scenarios.

Regarding event response and business models:

1. AI technology covers scenarios like intelligent triage and follow-up, offering positive impacts such as efficiency gains, but requires attention to competitive risks and technological update pressures.

2. Support policies, such as free usage and an open platform, allow sellers to learn from JD Health's integrated "AI + physical products + services" model to expand their own service chains.

Opportunities include partnering with JD Health to leverage its AI service ecosystem for user traffic or developing similar tools to address evolving consumer demands.

JD Health's "Zhiyi" AI product offers insights for factories regarding product design and production needs.

1. The product integrates evidence-based conclusions to output structured information, which can serve as a reference for medical device or pharmaceutical R&D to optimize product design.

2. It highlights digital and e-commerce trends, suggesting factories can adopt AI technology to develop smart production tools for improved efficiency and quality control.

In terms of business opportunities:

1. Collaboration with JD Health to build specialized disease models presents opportunities for customized solutions, such as data support for factories.

2. The technology's coverage of end-to-end deep reasoning offers lessons on applying AI to optimize supply chain management and enable smart manufacturing transformation.

JD Health's AI service ecosystem reflects digitalization trends, encouraging factories to explore e-commerce integration and develop commercial products similar to evidence-based tools.

JD Health's "Zhiyi" product reflects industry trends and technological breakthroughs relevant to service providers.

1. Rapid AI adoption in healthcare, covering clinical decision-making and research support, addresses client pain points like information overload and low decision-making efficiency.

2. Specialized disease models provide end-to-end deep reasoning as a new technology application, enhancing the precision and practicality of service solutions.

Regarding client pain points and solutions:

1. "Zhiyi" outputs structured evidence-based conclusions, offering service providers reusable tool models to meet doctors' research and diagnostic needs.

2. JD Health's integrated "AI + physical products + services" model demonstrates how technology can be applied to personalized health management, providing a blueprint for service providers to optimize their offerings.

Industry trends point to the convergence of AI and large models; service providers must monitor advancements like "Jingyi Qianxun 2.0" to maintain competitiveness.

As a platform operator, JD Health uses "Zhiyi" to enhance operational management and respond to platform demands.

1. Free access for doctors attracts more users, boosting platform activity and merchant appeal while mitigating user churn risks.

2. Multiple AI products, such as the "AI Jingyi" expert physician agent, cover scenarios like triage and follow-up, optimizing platform service management.

Regarding platform strategies and risk mitigation:

1. Collaboration with hospitals to build specialized disease models deepens service offerings, meeting commercial needs for end-to-end, comprehensive solutions.

2. Expanding internet healthcare to a closed-loop "prevention-screening-diagnosis-treatment-rehabilitation" model provides personalized solutions, reducing reliance on single services and enhancing platform sustainability.

In platform operations, technologies like intelligent triage support user retention; JD Health's approach can be emulated by other platforms to address competition.

JD Health's AI technology sparks new industry dynamics and research questions for scholars.

1. Evidence-based medical AI applications in clinical and research settings may prompt policy recommendations, such as for data privacy and ethical guidelines.

2. The collaborative model with hospitals to build specialized disease models offers a case study for business model analysis, examining the practical value of its end-to-end, in-depth reasoning.

In terms of new insights and issues:

1. The "AI + physical products + services" model spanning the "prevention-screening-diagnosis-treatment-rehabilitation" health management cycle warrants research into its sustainability and societal impact.

2. Technology coverage, including intelligent triage and specialized disease diagnosis, invites analysis of new challenges, such as accessibility gaps or innovation barriers for AI in healthcare.

JD Health's service expansion signals an industry shift toward personalized solutions, urging researchers to explore policy recommendations to support similar innovations.

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,京东健康发布循证医学AI产品知医。京东健康指出,该产品整合千万级全球权威医学文献与指南,定位医生的“智能外脑”,聚焦临床决策支持与科研学术两大核心场景。它具备筛选、整合海量信息,直接输出结构化、可落地的循证结论。

据悉,“知医”将向全体医生开放使用,无论是否已入驻京东健康平台。医生下载京东医生APP即可免费使用。

在京东健康的整体技术布局中,AI技术被视作提升服务效率、质量与可及性的重要组成部分。京东健康目前已构建了包括“京医千询2.0”大模型在内的AI健康服务系统。在该技术架构下,AI医生“大为”为用户之间提供服务,“AI京医”体系已上线一定数量的专家医生智能体。此外,“京东卓医”的医院全场景大模型产品已在部分医院开展应用。相关技术覆盖了智能分诊、随访、专病诊疗与科研支持等场景。“知医”产品的推出,进一步丰富了该公司的AI服务矩阵。

同时,在专病大模型方面,京东健康与多个医院合作构建的专科专病大模型覆盖全流程、全要素的深度推理,和真实应用场景和实际诊疗价值。

京东健康互联网医疗业务负责人表示,京东健康的互联网医疗服务目前已超越“在线问诊”的单一范畴,构建了一套链接“AI+实物+服务”、贯穿“防筛诊治康”的个性化解决方案,“医检诊药”闭环服务推向了更深、更广的应用场景。

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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