Health information management method and system based on AI large model

By using AI big data models to perform cross-modal feature fusion and clustering of TCM and Western medicine data, user health profiles are generated, solving the problem of data fragmentation in health management systems, enabling personalized health product recommendations and automatic generation of physiotherapy plans, and reducing operating costs.

CN122348072APending Publication Date: 2026-07-07SHENZHEN AIKANG ZHILIAN TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610675851.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-16
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

In existing health management systems, TCM diagnostic data and Western medicine physiotherapy indicators cannot be jointly modeled, resulting in a single dimension of health profiles. This makes it impossible to support personalized health product recommendations and automatic generation of physiotherapy equipment treatment plans, leading to high operating costs and making large-scale promotion difficult.

Method used

By using an AI-powered large model to perform cross-modal feature fusion encoding on data collected from hand diagnostic devices, face diagnostic devices, and body index detection devices, a user health profile vector is generated. Then, a Gaussian mixture model is used for clustering and classification. Combined with a product matching scoring model and collaborative filtering matrix decomposition, personalized health products are recommended and a physiotherapy and conditioning plan configuration package is automatically generated.

Benefits of technology

It provides a comprehensive reflection of users' health status, offers accurate data on population categories, lowers the professional operational threshold for physiotherapy services, forms a closed-loop health management mechanism, and continuously optimizes recommendation quality as operational data accumulates.

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Abstract

The invention relates to the technical field of AI large models, and discloses a health information management method and system based on an AI large model, and the method comprises the steps: carrying out the feature fusion coding of health screening information collected by health screening equipment, and obtaining a fusion feature vector; health portrait coding is carried out through an AI large model, user health portrait vectors are obtained, clustering and typing are carried out, and crowd typing categories are obtained; based on the user health portrait vector and the crowd classification category, screening the candidate health-preserving products through a conditioning product matching scoring model to obtain a health-preserving product recommendation list; and generating a physical therapy conditioning scheme configuration package based on the user health portrait vector, and issuing the physical therapy conditioning scheme configuration package to peripheral physical therapy equipment to complete remote presetting. According to the invention, the problem in the prior art that the traditional Chinese medicine diagnosis data and the western medicine physiological indexes cannot be jointly modeled is solved; and the health portrait can comprehensively reflect the comprehensive health state of the user.
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