Diagnosis and treatment decision-making support system

Abstract

The invention discloses a diagnosis and treatment decision-making support system. The system includes a human-computer interaction unit, a processing unit, a decision-making support unit and a database unit, wherein the human-computer interaction unit is used for a user to exchange data with the diagnosis and treatment decision-making support system, the processing unit is connected with the human-machine interaction unit and is used for performing business and data processing, the decision-making support unit is connected with the processing unit and is used for feeding back decision-making schemes according to input data, and the database unit is used for storing medical treatment data to provide a data foundation for the decision-making support unit. The system of the invention can maximally conform to actual clinical diagnosis and treatment processes and provide full-process diagnosis and treatment decision-making services for doctors. With the diagnosis and treatment decision-making support system of the invention adopted, diagnosis and treatment schemes and suggestions can be provided for doctors; the doctors can be assisted to improve decision-making levels; the doctors canbe prompted with potential errors; diagnostic suggestions and decision-making schemes can be provided according to the disease conditions of specific patients, so that the doctors can be assisted to comprehensively understand a wide range of possibilities; the doctors can be assisted to make better decisions, so that a misdiagnosis rate can be reduced; and the system can be combined with the actual diagnosis and treatment processes, so that the actual diagnosis and treatment processes can be standardized.

Description

technical field [0001] The invention relates to the medical field, in particular to a diagnosis and treatment decision support system. Background technique [0002] With the continuous improvement of people's living standards, the society and the public have put forward higher and higher requirements for the level of diagnosis and treatment and service quality. At the same time, with the development and progress of science and technology, the update of medical knowledge is getting faster and faster, and the cross-integration of disciplines is getting closer and closer, which puts forward higher requirements for knowledge learning and updating for clinicians and related medical workers. However, on the one hand, the increasingly heavy clinical work makes it less and less time for doctors to update and learn new knowledge, and there is a general lag in learning professional knowledge, which can lead to some of the latest medical knowledge or updated knowledge not being availab...

AI Technical Summary

Problems solved by technology

However, its clinical value has not been widely and unanimously recognized. On the one hand, due to the extremely complicated clinical diagnosis and treatment, it is very difficult to really provide doctors with valuable decision-making suggestions. On the other hand, while the existing CDSS provides decision support, It does not significantly reduce the cost of doctors' use time, and some even increase the burden on doctors, which leads to doctors' resistance to use

Moreover, the existing diagnosis and treatment decision support system has problems such as lack of integration with the actual diagnosis and treatment process, a single mode, and can only support a single request response mode, and the doctor's decision-making process and the patient's diagnosis and treatment process are not recorded. Therefore, a The new diagnosis and treatment decision support system can overcome the above technical problems to improve the degree of acceptance by users

Images