Infection control management system and method based on artificial intelligence

Abstract

The invention discloses an infection control management system and method based on artificial intelligence. The system comprises a middleware module, a clinical database module, a strain identification module, an expert system module, a machine learning neural network and a prediction and early warning module; for newly-separated bacteria and a related antibiotic knowledge graph, the expert systemmodule is used for verifying culture results of antibiotics, selecting a suitable antibiotic list and giving an alarm to the newly-separated bacteria; the machine learning neural network is used forlearning and establishing association rules of the bacteria, the antibiotics and an infection part, establishing a specific knowledge graph according to the relationship of the bacteria, the antibiotics and the infection part, and integrating the specific knowledge graph into the expert system module; the prediction and early warning module establishes a prediction model for predicting infection data and an infection trend within a specific range, and when the predicted value of an infection event is higher than a set threshold value, the prediction and early warning module gives an early warning to medical staff and / or a community. The infection control management system and method based on artificial intelligence can achieve automatic monitoring, analysis and real-time early warning of infection cases and infection conditions in the community.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an infection control management system and method based on artificial intelligence. Background technique [0002] At present, the control and management of infectious diseases has received widespread attention. Hospital informatization and community information system construction have become a major factor in current development. Hospitals and communities have paid more and more attention to informatization construction. Hospitals and communities Various resources are integrated, optimized, analyzed, and counted through the information system of the hospital or the community, providing strong arguments for the decision-making of the hospital or the community, and at the same time reducing costs and improving efficiency. The hospital is based on the patient-centered principle , the community is paying more and more attention to public health. Through the c...

AI Technical Summary

Problems solved by technology

[0004] Although there are currently information management and communication systems that have been applied in hospitals, they cannot realize automatic monitoring, analysis, and real-time early warning of infection cases and infection situations in the community; they cannot conduct efficient assessment of infection and future prediction of infected areas; Real-time update of database knowledge, low efficiency and accuracy of infection management control

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