AI-Powered Health Management

Leveraging large AI models, we have developed an intelligent health assistant system that integrates both smart analysis of health screening reports and personalized dietary management, delivering scientific, precise, and closed-loop health management services.

Solution Value

In response to the growing demand for health management, we deeply integrate advanced AI technology with professional medical knowledge to build an intelligent health assistant system for health service institutions. Centered around AI‑powered analysis of health screening reports and nutritional meal management, the system—through intelligent recognition, professional interpretation, plan generation, and human‑machine collaborative review—enables a fully digitalized and personalized process from health assessment to intervention recommendations. This significantly enhances service efficiency and user experience, helping institutions build a competitive edge.

Core Modules

AI‑Powered Health Screening Analysis & Management Plan Generation

Enables automatic recognition of user health reports (images/PDFs), structured extraction of key indicators and imaging diagnosis results, and generates preliminary interpretations including anomaly analysis, risk alerts, and personalized health management plans.

AI‑Based Meal Image Review & Next‑Day Recipe Planning

Identifies ingredients and nutrients from user‑uploaded meal images, provides nutritional feedback based on the user’s health data, and creates personalized next‑day recipes aligned with health goals.

Professional Human‑AI Collaborative Review Platform

Offers doctors and nutritionists a powerful backend that supports direct editing of AI‑generated content, real‑time intelligent interaction (optimizing content via natural‑language commands), and review management to ensure scientific accuracy.

User‑Side Mini‑Program

Provides users with convenient report uploads, plan and recipe viewing, dietary logging, and other functions through a clear, user‑friendly interface.

Overall Architecture

The solution employs a stable, efficient, and scalable distributed architecture, ensuring performance under high concurrency and robust data security:

Application Service Layer

Deployed on high-performance servers, it hosts core business logic, the Dify AI application platform, and Redis caching, responsible for workflow orchestration and AI capability coordination.

Data Storage Layer

Utilizes a master‑slave database setup for high availability and read‑write separation, with high‑speed SSDs ensuring fast access to business data. A high‑capacity object storage cluster securely stores user‑uploaded reports and images.

AI Computing Layer

Powered by high‑performance servers, it provides ample computing resources, co‑deploying text generation and vision large models to support concurrent processing of health report parsing and meal recognition.

Security & Compliance

Implements end‑to‑end encrypted data storage and transmission, strict access controls, and full‑traceability operation logging, fully complying with China's Personal Information Protection Law (PIPL) and Data Security Law (DSL).

Key Advantages

Precise & Intelligent

Health report key‑information recognition accuracy ≥90%; meal ingredient recognition accuracy ≥80%. AI recommendations align with medical and nutritional guidelines.

Efficient Collaboration

Unique real‑time interaction between doctors/nutritionists and AI significantly boosts plan creation and review efficiency, with average review time ≤3 minutes per case.

Closed‑Loop Service

From data collection and smart analysis to professional review and user engagement, we deliver a complete digital health‑management loop.

Mature & Reliable

The system is rigorously designed, with hardware and architecture supporting high concurrency (≥50 simultaneous uploads, response ≤5 seconds), ensuring stable service delivery.

Quantified Benefits

Efficiency Gain
AI automates repetitive interpretation tasks, allowing experts to focus on core judgments and optimizations—multiplying service efficiency.
Refined Management
Digitalized processes make services standardized and traceable, facilitating quality control and business analysis.
User Experience Optimized
7×24 instant feedback and personalized guidance significantly increase user engagement and satisfaction.
Cost Optimization
Automated workflows reduce reliance on junior staff, optimizing the human‑resource cost structure.

Application Scenarios

Intelligent Health Report Interpretation & Management
After a user uploads a report, the AI automatically processes and recognizes it, extracting key indicators and diagnostic conclusions. It then analyzes and interprets the findings, generating health risk alerts and a preliminary plan. Doctors interact with and review the output in the backend—editing directly or using natural language to refine the plan with the AI. Once approved, the health management plan is instantly synced to the user’s mini‑program.
Daily Diet Intelligence & Guidance
Users upload meal photos, which the AI recognizes and analyzes to identify ingredients and estimate nutrition. It then generates a meal review—providing nutritional feedback and improvement suggestions—and plans the user’s next meal accordingly. Nutritionists interact with and review the output in the backend, adjusting recipes or optimizing them through AI interaction. After approval, the plan is synced to the user’s app.

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