Medical record assistant analysis system and method for establishing same

Abstract

The invention relates to a medical record assistant analysis system which comprises a medical record information module which is used for storing and managing the medical record information of a patient, a knowledge base module which comprises a lot of medical knowledge and mapping rules for interrelated medical knowledge, and an auxiliary analysis module which is capable of analyzing the medicalrecord information in the medical record information module based on the knowledge base module to draw a conclusion. The system plays a role in assisting the daily work and management of medical staff. Compared with the existing assistant diagnosis system, the system provided by the invention accurately analyzes standardized indicators which conform to natural language expression by standardizingthe indicators. The analysis conclusion is more accurate. Misdiagnosis and missed diagnosis are reduced. The time for medical staff to read and analyze medical records is greatly reduced. The work efficiency is improved.

Description

technical field [0001] The invention relates to the field of medical auxiliary analysis, in particular to a medical record auxiliary analysis system and a method for establishing the system. Background technique [0002] The country is vigorously promoting the construction of medical health + big data + Internet medical care. The current mainstream clinical decision support system is defined as follows: it is a system that makes full use of available and appropriate computer technology to improve and improve the efficiency of clinical decision-making through human-computer interaction for semi-structured or unstructured medical problems. Auxiliary diagnosis is an important part of the clinical decision support system, and the main technical method is the technical method of auxiliary diagnosis based on the literature knowledge base. Although the clinical decision support system has brought a lot of convenience to medical institutions and staff, there are also many shortcomi...

AI Technical Summary

Problems solved by technology

[0006] Keyword is a manual input mode, which may lead to missed diagnosis in the case of incomplete keyword input: in the existing clinical diagnosis and treatment auxiliary system, keywords are generally input manually, and these manual extraction and input processes are prone to input If it is incomplete or missing, if the input is incomplete, the appropriate diagnosis will not be searched in the literature knowledge base, which will inevitably lead to missed diagnosis

[0007] The existing technology is a mode of manual input of keywords, which cannot timely assist in diagnosis and treatment according to changes in the patient's condition. The patient's medical record information and physical signs are constantly changing during the treatment process. This method is an offline method of manual input. In fact, how to assist diagnosis in time according to the patient's condition and indication changes is very necessary, but this is also an important defect

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