Chronic Disease Recovery AI Diet Subscription & Order Dispatching: Monthly Income of 18,000 RMB
Workflow: At 8:00 AM daily, the system automatically pulls discharge patient data from community hospital interfaces, synchronizin
Key Fields
FIELD STAMPS🔧 Workflow
At 8:00 AM daily, the system automatically pulls discharge patient data from community hospital interfaces, synchronizing three core types of information: discharge diagnosis, dietary restrictions, and recent medical examination indicators. AI automatically matches these with nutritional standards for specific diseases to generate weekly customized pre-made meal menus. These are pushed to the connected pre-made meal factory's production scheduling system, automatically triggering delivery orders for couriers. At 6:00 PM daily, the system automatically sends reminders for post-meal blood glucose and blood pressure reporting to collect patient feedback for optimizing the following week's menu. On the 25th of each month, it automatically generates health outcome reports and triggers renewal reminders. Inputs include medical discharge data and post-meal patient feedback; outputs include customized menus, production dispatch instructions, renewal reminders, and health reports.
🛠 Setup Requirements
The setup period is approximately 3 weeks. In the first week, use Dify or Coze to configure four core Agent nodes: discharge data parsing, menu generation, automatic dispatching, and renewal reminders. In the second week, connect to 2-3 local pre-made meal factories with small-batch customization capacity. In the third week, complete health data encryption storage filing and interface debugging with community hospital HIS systems. No programming background is required; mastering basic low-code tool operations is sufficient, making the technical barrier extremely low.
🧰 Toolchain
- 🔧 Dify (Low-code Agent construction)
- 🔧 Coze (Menu generation Agent configuration)
- 🔧 Community Hospital HIS data interface
- 🔧 SF Express intra-city delivery open API
- 🔧 Private cloud health data storage service
💰 Revenue
① Monthly patient dietary subscription (primary income): Discharged chronic disease patients subscribe monthly. Net profit per customer is 600 RMB × 30 renewals/month = 18,000 RMB/month, accounting for about 51% of monthly revenue (based on a peak of 35,000 RMB; case description, not independently verified, data as of 2026); ② Expansion through multiple community partnership points: Peak monthly revenue reaches 35,000 RMB after expanding to 5 community points. Customer acquisition is split between hospitals and community channels, though the split ratio is not public (self-reported by the case study, lacks independent verification); ③ Medical insurance reimbursement premium: Customer unit price increases by 30% after inclusion in medical insurance pilot reimbursement. There is no public data on settlement prices or coverage numbers, so the revenue contribution of this channel cannot be verified; ④ Opportunity item—Clinical Nutrition AI System Subscription: Subscribed by hospital nutrition departments as an institution. Similar upstream systems have reduced screening and assessment time from 15 minutes to 3 minutes (disclosed by the company). Subscription pricing and revenue share are not yet public.
💸 Cost
Fixed monthly costs are approximately 600 RMB, including 200 RMB for Dify/Coze professional subscriptions, 300 RMB for large model inference API calls, and 100 RMB for private cloud health data storage. Delivery fees are covered by the pre-made meal factories, requiring no additional expenditure. There are no inventory or venue fixed costs, resulting in extremely low marginal costs.
⏱ Time Investment
1.5 hours daily for monitoring patient post-meal feedback, reviewing meal production scheduling anomalies, and fine-tuning menu parameters. 2 hours weekly for connecting with new discharge data from community hospitals, and 1 hour monthly for communicating with customers regarding renewals.
🚀 Getting Started
The first step for beginners is to contact the chronic disease management department or clinical nutrition department of 1-2 local community hospitals to apply for trial access to the hospital's discharge data push (most community hospitals are willing to connect to pilot projects for free to reduce patient management costs). First, provide 2 weeks of free trial meals to two core groups—diabetic and hypertensive patients—who require dietary intervention after discharge. Refine menu suitability and delivery fulfillment links, and once proof of improved health indicators is collected, transition to paid subscriptions. The unit price can be set at 899 RMB per month, providing sufficient profit margins.
🔑 Keys to Success
- ✅ Obtain official discharge data access from community hospital chronic disease departments to ensure compliant and stable patient information sources, which is the core barrier and avoids high customer acquisition costs in public domains.
- ✅ Secure pre-made meal factories with small-batch customization capacity to precisely adapt to salt, sugar, protein, and purine intake standards for different diseases, ensuring meals meet medical-grade requirements.
- ✅ Build a closed-loop for patient post-meal indicator feedback, using actual health control results to improve renewal rates, which can stabilize at over 70%.
- ✅ Complete Level 3 Protection filing for sensitive health data storage to avoid policy risks through medical data compliance certification.
- ✅ Develop a standardized menu library for at least 5 major chronic diseases (diabetes, hypertension, chronic kidney disease, post-cardiovascular surgery, and COPD) to reduce customization costs.
⚠️ 风险
- ⚠️ If post-meal health indicators do not meet expectations, it may be blamed on the diet, leading to disputes and compensation. It is necessary to sign informed consent forms for dietary intervention with patients in advance to clarify liability exemptions.
- ⚠️ Health data is sensitive personal information. Non-compliant storage may lead to administrative penalties of up to 500,000 RMB. Ensure Level 3 Protection filing is completed.
- ⚠️ Fluctuations in pre-made meal factory capacity or food safety issues may lead to delivery delays or substandard meals, affecting user experience and renewal rates. Sign capacity guarantee and food safety agreements in advance.
- ⚠️ In some regions, charging standards for out-of-hospital nutrition intervention are unclear, posing policy compliance risks. Consult with local health commissions to confirm the nature of the service.
📌 Real Cases
- 📌 The 'Zhi Shan Fan Fang' project launched in Shenzhen in November 2025 connected the full chain of community hospitals, pre-made meal factories, and patient delivery. In a six-month pilot, it covered 23,000 discharged chronic disease patients, achieved a 38% paid subscription rate, and delivered over 120,000 customized meals per month.
- 📌 The 'Hao Huo Shi' nutrition system has connected with the clinical nutrition departments of 47 hospitals nationwide, achieving precise delivery from discharge orders to recovery tables, with an average of over 100,000 customized meals delivered monthly and an average monthly consumption of 900 RMB per customer.
- 📌 The 'AI Nutrition Butler' pilot project in Yangpu District, Shanghai, launched in March 2026, provided full-cycle dietary management for chronic disease patients discharged from Grade-A tertiary hospitals. After 3 months, the patient indicator compliance rate increased by 27%, the paid conversion rate reached 42%, and it was included in the medical insurance reimbursement pilot.
- 📌 The AI clinical nutrition solution released by JD Health in January 2026 has connected with 12 pre-made meal supply chains nationwide, with monthly out-of-hospital chronic disease diet orders exceeding 12,000 and a stable customer unit price of 850 RMB.