Calculation method for hospital infectious disease monitoring and identification and application thereof

Abstract

The invention discloses a calculation method for hospital infectious disease monitoring and identification. The calculation method comprises the following steps: step 1, arranging an infectious disease catalog; step 2, loading the infectious disease cognitive model configured on the interface into a cache, and analyzing the infectious disease cognitive model by firstly analyzing infectious disease monitoring elements and then analyzing the model; step 3, arranging infectious disease cognitive analysis incoming parameters including business information, historical data and static elements by a business program; and step 4, gradually calculating by an algorithm scheduling program through an algorithm model according to the formulated infectious disease monitoring parameters. According to the invention, infectious disease identification is carried out on clinical diagnosis and treatment informatization data and the like of hospital patients, comprehensive monitoring of infectious diseases can be realized, technical support is provided for early realization of cognitive early warning and timely reporting of the infectious diseases, infectious disease and chronic disease identification can be carried out regardless of whether standard diagnosis contents are used in hospitals, and the general applicability is good.

Description

technical field [0001] The invention relates to the technical field of disease monitoring, in particular to a calculation method for monitoring and identifying hospital infectious diseases and its application. Background technique [0002] In the late 1970s, the concept of western disease surveillance was introduced into our country, and infectious disease surveillance and birth and death surveillance developed rapidly. Since 1978, my country has successively established a single-disease surveillance system for influenza, Japanese encephalitis, meningitis, paracholera, epidemic hemorrhagic fever, plague, and leptospira, and reports all infectious diseases to key areas. The combination of etiological and serological monitoring of key populations has significantly improved my country's ability to monitor and control infectious diseases. In 1980, the plan of long-term disease surveillance points in my country was formulated, and a long-term comprehensive disease surveillance sy...

AI Technical Summary

Problems solved by technology

However, in the tens of thousands of medical institutions above Grade II across the country, the medical institutions that strictly use ICD10 are far smaller than those that do not strictly use ICD10 diagnostic criteria. Doctors in most hospitals are still accustomed to the fuzzy diagnosis mode (that is, there is no ICD10 code). In this case, the traditional identification of infectious diseases and chronic diseases through ICD10 codes is basically ineffective, so the hospital establishes a knowledge base for infectious diseases and chronic diseases through diagnosis content. There are countless possibilities for fuzzy diagnosis, and the accumulation of knowledge and experience It is difficult to complete this work with the personnel of a single hospital, so it is necessary to establish a method and application of a knowledge base engine for the diagnosis of infectious diseases and chronic diseases in hospitals

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