JD Health has officially released version 2.0 of its large model product "JD Joy Doctor," designed for comprehensive hospital scenario applications.
The new JD Joy Doctor 2.0 deeply integrates JD Health's core strengths in "AI + Supply Chain." Leveraging the JoyDocBrain to build foundational systems and ecosystem adaptability, it forms an end-to-end management solution covering three key scenarios: clinical nutrition, out-of-hospital medication, and weight metabolism. This provides hospitals with standardized, traceable, and highly efficient digital and intelligent support.
The "AI + Clinical Nutrition" component focuses on addressing the challenges of nutritional assessment and intervention for both inpatients and outpatients, incorporating nutritional therapy into trackable and assessable clinical pathways. Developed in collaboration with The First Affiliated Hospital of Wenzhou Medical University and the National Health Commission's Key Laboratory of Clinical Nutrition and Intervention, the "Clinical Nutrition Large Model" serves as the underlying support for this solution. Utilizing this model, the solution can automatically assist medical staff in completing nutritional risk screening, assessment, diagnosis, and the generation of personalized treatment plans.
"AI + Medication Management" utilizes tools such as AI-assisted prescription review and intelligent pharmacist assistants to free up doctors and pharmacists, allowing them to concentrate on high-value diagnostics and disciplinary development. It establishes an AI prescription circulation platform to achieve full-cycle closed-loop management, from prescription review to medication pickup, home medication use, and follow-up consultations. A 7x24 online AI pharmacist is available to answer patient queries at any time. Relying on JD's smart logistics network, it offers multiple fulfillment options including in-hospital pickup, same-city express delivery, and nationwide distribution to ensure fast and accurate medication delivery.
"AI + Weight Management" automates standardized basic tasks through AI, enabling professional doctors to focus on infrequent but critical decision-making and risk management, thereby achieving a balance between scalable services and cost control. It integrates in-hospital medical data with out-of-hospital lifestyle data to build a comprehensive patient profile. Based on AI technology, it intelligently recommends weight management treatment plans to ensure clinical effectiveness. Through instant AI feedback and emotional companionship features, it transforms medical advice into daily executable tasks. Patients receive immediate encouragement and guidance after completing dietary, exercise, and weight records, effectively improving compliance.
Furthermore, JD Health, in partnership with The First Affiliated Hospital of Wenzhou Medical University and the National Health Commission's Key Laboratory of Clinical Nutrition and Intervention, jointly released the "AI-Driven Standardized Whole-Process Management Solution for Clinical Nutrition."
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