Intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection

Abstract

The invention discloses an intelligent decision-making assistance system for predicting, diagnosing, treating and controlling hospital infection. The intelligent decision-making assistance system comprises an epidemiological model database module, a patient data collecting module, a hospital infection management information collecting module and an analyzer, wherein the analyzer calculates the probability of the hospital infection risk of each part according to the information collected by the patient data collecting module and the hospital infection management information collecting module and an epidemiological model in the epidemiological model database module and provides information for predicting the risk, assistant decision-making information for preventing the risk and assistant decision-making information for treating and controlling the broken-out infection. By the intelligent decision-making assistance system, the infection probability of a patient can be effectively pre-judged according to the medical record of the patient, the measures taken by hospital management staff and the epidemiological model, and corresponding diagnosis and treatment advice can be made.

Description

technical field [0001] The invention relates to an intelligent decision-making auxiliary system for predicting, diagnosing, treating and controlling hospital infection. Background technique [0002] Nosocomial infection refers to an infection that occurs within 48 hours of admission to the hospital. The baseline rate of infection in secondary and tertiary hospitals across the country is about 4-6%, and the consequences of hospital infection may cause economic losses of billions of RMB per year, increase in patient mortality, and indirect waste of social resources is immeasurable. [0003] The current prediction of nosocomial infection mainly depends on the weight evaluation of "risk factors"; the diagnosis of infection mainly depends on the judgment of doctors; the treatment of infection depends on the clinical knowledge and experience of doctors; the control of infection depends on the current industry guidelines or literature reports. The above-mentioned work related to n...

AI Technical Summary

Problems solved by technology

The above-mentioned work related to nosocomial infection relies heavily on human resources and intellectual resources, but in the actual work process, problems such as deviation of guidelines, norms and implementation measures, and low work efficiency are prone to occur.

[0004] For now, there is no software information system or hardware device in the market that can assist clinical medical staff to complete the prediction, diagnosis, treatment and control of nosocomial infection

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