Method and system for automatically checking leakage of new hospital infection in specific time period

Abstract

The invention provides a method and a system for automatically checking leakage of new hospital infection in a specific time period. The method comprises the following steps: determining an authoritydepartment of a user according to identity information of the user by utilizing department transfer information, hospitalization process information, infection information, operation information, selected statistical time and departments; respectively determining infection information of non-surgical site infection and infection information of surgical site infection; combining the infection information of the non-surgical site infection and the infection information of the surgical site infection to obtain infection diagnosis information; obtaining infection diagnosis information generated before hospital discharge according to the hospital discharge time. Through the clinical report content of the infection information, the infection diagnosis information which should be reported by a clinician before the patient leaves the hospital but is not reported is screened out, automatic leakage checking of new hospital infection in a specific time period is achieved, and meanwhile the numberof hospital infections failing to be reported can be automatically obtained and output. According to the invention, hospital infection leakage detection can be automatically carried out, and the leakage detection accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of managing nosocomial infections, and in particular relates to a method and system for automatic leak detection of new nosocomial infections in a specific time period. Background technique [0002] Nosocomial infection refers to the infection acquired by inpatients in the hospital, including the infection that occurred during hospitalization and the infection that occurred after discharge; nosocomial infection is divided into two categories: one is exogenous infection, also known as cross-infection, It refers to the infection received by patients or staff through daily diagnosis and treatment activities, patient-patient contact or from polluted environment in the hospital, such as infection that cannot bear to occur during surgery; the second is endogenous infection, also known as self-infection, is Refers to the infection caused by the decline of the body's resistance due to the disease, the disorder of th...

AI Technical Summary

Problems solved by technology

[0005] Although the above application mentions the automatic detection of missing reports of statutory infectious diseases, it does not record the specific methods of searching for missing reports

And it is to carry out the automatic screening of legal infectious diseases to the HIS system in the hospital, and automatically screen all the case information diagnosed as legal infectious diseases through the ICD10 code, and cannot effectively distinguish infectious diseases during hospitalization from those outside hospitalization, so it cannot Accurate detection of new nosocomial infections

Images