Diabetes education training platform combining virtual scene and AI video two-dimensional code

By combining virtual scenarios with AI video QR codes, a diabetes education and training platform has been established, enabling personalized content generation, scenario-based training, and closed-loop feedback. This has solved the problems of content homogenization and the separation of knowledge and practice in traditional diabetes education, thereby improving educational effectiveness and user compliance.

CN122158183APending Publication Date: 2026-06-05THE 968TH HOSPITAL OF THE CHINESE PEOPLES LIBERATION ARMY JOINT LOGISTICS SUPPORT FORCE
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Patent Information

Application Number
CN202610269013.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-06
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing diabetes education models suffer from severe homogenization of content, low participation, and a disconnect between the content and patients' daily life practices, lacking personalization and dynamic linkage.

Method used

The diabetes education and training platform, which combines virtual scenes and AI video QR codes, achieves personalized content generation, scenario-based training, and closed-loop feedback through modules such as user data collection, user profile construction, AI video generation, dynamic QR code generation and distribution, virtual scene interaction, and learning feedback and optimization.

Benefits of technology

It significantly improved the effectiveness of diabetes education and user compliance, solved the problems of content homogenization and separation of knowledge and practice in traditional education models, and realized the dynamic linkage between personalized content and user behavior.

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Abstract

The invention discloses a diabetes education training platform combining a virtual scene and an AI video two-dimensional code, and belongs to the technical field of digital health. The platform comprises a user data acquisition module for acquiring user multi-source data; the user portrait construction module is used for constructing a dynamic user portrait based on the data; the AI video generation module automatically generates a personalized education video according to the portrait and the knowledge graph; the two-dimensional code generation and distribution module is used for generating a traceable dynamic two-dimensional code for the video; the mobile terminal is used for playing a video and providing virtual scene interaction; the virtual scene interaction module is used for constructing a simulated real scene for a user to practice; and the learning feedback and optimization module is used for collecting user behavior data and physiological improvement data and continuously optimizing a user portrait and a video generation model. Through personalized content generation, scene practice and closed-loop optimization, the problems of traditional education content homogenization, low participation degree and known line separation are solved, and the education effect and the user compliance are remarkably improved.
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