Cardiovascular nursing medical resource allocation system

By designing a cardiovascular nursing medical resource allocation system, using technologies such as multi-sensor data acquisition, deep learning risk assessment and genetic algorithm resource scheduling, the problems of discontinuous data acquisition, low level of risk assessment intelligence and undynamic resource scheduling in the existing technology are solved, real-time monitoring of cardiovascular status and efficient allocation of medical resources are achieved.

CN119724524APending Publication Date: 2025-03-28JILIN UNIV FIRST HOSPITAL
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Patent Information

Application Number
CN202510246419.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing cardiovascular care technologies have problems such as discontinuous data collection, insufficient signal processing, low level of intelligent risk assessment, inactive resource scheduling, and insufficient data security protection.

Method used

A cardiovascular care medical resource allocation system is designed, including a multi-sensor data acquisition network, data integration and preprocessing module, evaluation and early warning module, resource scheduling module, information interaction module and data transmission module. The system uses Kalman filtering and wavelet transformation technology to perform data preprocessing, uses hybrid deep learning models for risk assessment, and uses genetic algorithms to perform resource scheduling to ensure data security.

Benefits of technology

Real-time monitoring and accurate warning of cardiovascular status are achieved, and medical resources are dynamically allocated, which significantly shortens the response time of acute cardiovascular events and improves the success rate of patient treatment and the efficiency of medical resource utilization.

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Abstract

The invention discloses a cardiovascular nursing medical resource allocation system, and relates to the technical field of medical information, and the system comprises a multi-sensor data collection network which is used for collecting various signal data related to cardiovascular health from a patient and an environment; and the data integration and preprocessing module is used for performing format unification, noise suppression and feature extraction on the original data acquired by the multiple sensors. According to the cardiovascular nursing medical resource allocation system, real-time monitoring and accurate early warning of the cardiovascular state are realized through accurate data acquisition, data preprocessing and mixed deep learning risk assessment technologies; meanwhile, hospital resources are dynamically dispatched through multi-objective optimization and a genetic algorithm, and it is ensured that optimal treatment resources can be rapidly allocated when acute events occur.
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