Diabetes blood glucose, metabolism and sign multi-data fusion nursing intelligent system

The multi-data fusion nursing intelligent system solves the problem that existing systems cannot quantify comprehensive health risks, enabling precise risk assessment and personalized intervention for diabetic patients, and improving the predictive accuracy of the nursing system and patient compliance.

CN122201755APending Publication Date: 2026-06-12TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
Filing Date
2026-02-24
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

The existing nursing system is unable to quantify patients’ comprehensive health risks, thus failing to provide accurate basis for clinical intervention. The predictive function does not combine multi-dimensional data such as metabolism and physical signs for joint prediction, and the warning mechanism lacks a graded design, resulting in over-warning or under-warning, and low patient compliance.

⚗Method used

Design a smart nursing system that integrates multiple data on blood glucose, metabolism, and vital signs in diabetic patients. The system continuously or periodically collects diverse and heterogeneous physiological data from multiple data sources through a data acquisition module. It performs preprocessing and multi-dimensional correlation analysis using a data fusion and analysis module, calculates a comprehensive risk index using a risk assessment module, and predicts future health status through a health status prediction module, generating graded warnings and personalized nursing intervention suggestions.

🎯Benefits of technology

It enables quantitative assessment of patients' health risks, provides precise tiered alerts and personalized intervention recommendations, improves patient compliance and the predictive accuracy of the care system, and supports early prediction and early intervention in diabetes management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a diabetes blood glucose, metabolism and sign multi-data fusion nursing intelligent system, comprising the following modules: a data acquisition module, which continuously or periodically acquires multi-element heterogeneous physiological data of a diabetes patient from multiple data sources, wherein the multi-element heterogeneous physiological data at least includes blood glucose data, metabolism-related data and physiological sign data; a data fusion analysis module connected with the data acquisition module, thereby, an integrated risk assessment model adopting multi-feature fusion can reflect the health state of the patient from the overall level, provide accurate and intuitive quantitative basis for clinical intervention, integrate multi-dimensional fusion data such as blood glucose, metabolism and physiological signs, realize the prospective prediction of the evolution path of the health state of the patient, achieve the diabetes nursing goal of early prediction and early intervention, construct a three-level hierarchical warning mechanism, generate intervention suggestions combined with the individual condition of the patient, and significantly improve the intervention compliance of the patient.
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