人工智能驱动的临床营养规范化全程管理解决方案
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京东健康发布AI临床营养解决方案
Zhong Guo Jing Ying Bao· 2026-01-18 13:35
Group 1 - The core viewpoint of the articles highlights the launch of an AI-driven clinical nutrition management solution by JD Health in collaboration with Wenzhou Medical University First Affiliated Hospital and the National Health Commission's Clinical Nutrition and Intervention Key Laboratory, aimed at improving medical quality and patient outcomes under the "Healthy China 2030" strategy [2] - The solution encompasses seven key stages of patient care, including screening, assessment, diagnosis, treatment, control, management, and education, establishing an integrated management system of "system—formulation—quality control" [2] - The technical core of the solution is the "Clinical Nutrition Large Model," developed collaboratively, which utilizes JD Health's proprietary medical model "JD Medical Qianxun" and has been trained on over one million nutrition-related literature and tens of thousands of real clinical cases [2] Group 2 - JD Health's "JD Zhuoyi 2.0" model, an integral part of its full-scenario large model product, can be embedded into existing hospital systems, facilitating a closed-loop from in-hospital diagnosis to out-of-hospital continuous management [3] - The collaboration with Wenzhou Medical University First Affiliated Hospital has already served over 4.7 million patients through the "Clinical Nutrition + Special Medical Food" service network, indicating the model's scalability for nationwide promotion [3] - JD Health's CEO, Cao Dong, emphasized the company's commitment to opening its leading "super pharmaceutical supply chain" capabilities and medical AI products to a broader range of partners, aiming to build a safe, reliable, and efficient "new infrastructure for medical digitization" [3]
京东健康发布京东卓医2.0:依托“AI+供应链”打造医院全新增长引擎
Cai Jing Wang· 2026-01-18 05:55
Core Insights - The conference focused on the application of artificial intelligence (AI) in hospitals and the innovative directions for enhancing hospital operations through digital intelligence [1][8] - JD Health launched the 2.0 version of its "JD Zhuoyi" product, aimed at becoming a new growth engine for hospitals, having already served over 5 million patients since its initial launch in 2025 [2][3] Group 1: Product Launch and Features - JD Zhuoyi 2.0 integrates JD Health's "AI + Supply Chain" capabilities, providing a comprehensive management solution covering clinical nutrition, outpatient medication, and weight management [2][4] - The "AI + Clinical Nutrition" model focuses on nutritional assessment and intervention, utilizing a clinical nutrition model supported by extensive literature and real-world cases to enhance patient outcomes [3][4] - The "AI + Pharmacy Management" model aims to streamline the medication process through AI-assisted prescription review and a 24/7 online AI pharmacist, improving patient adherence and satisfaction [4] Group 2: Industry Collaboration and Insights - The conference featured discussions from various hospital leaders on the practical experiences and innovative measures in AI-enabled healthcare, contributing diverse perspectives to industry development [5][6] - JD Health signed strategic cooperation agreements with multiple partners to enhance the application of AI in healthcare, aiming to create a comprehensive supply chain for personalized nutrition solutions [7] - The successful hosting of the conference highlighted JD Health's technological strength in the medical AI field and established a platform for industry collaboration [8]
京东健康:联合发布AI临床营养解决方案 将推广至全国更多医疗机构
Zheng Quan Shi Bao Wang· 2026-01-18 04:56
Core Insights - The article highlights the launch of an "AI-driven Clinical Nutrition Standardized Full-process Management Solution" by JD Health in collaboration with Wenzhou Medical University First Affiliated Hospital and the National Health Commission's Key Laboratory of Clinical Nutrition and Intervention [1] Group 1 - The solution is ready for large-scale implementation and will be promoted to more medical institutions across the country in the near future [1]