Adult emergency treatment condition grading system and grading method

Abstract

The invention belongs to the technical field of hospital information management datamation, and discloses an adult emergency disease condition grading system and method. The system comprises an image acquisition module, an image processing module, a vital sign data acquisition module, a patient information acquisition module, a patient symptom acquisition module, a central control module, a matching confirmation module, an index determination module, a grade evaluation module and a display module. According to the invention, information collection is carried out in various modes such as scanning and voice recognition, and various patient body surface data displayed by the emergency equipment can be automatically obtained, so that the accuracy of emergency treatment grading triage is improved; medical resources are effectively saved; the working efficiency of emergency condition triage is improved, and the system is convenient to use, reliable in information and rich in function; the first-aid level can be better improved; and the problems that existing illness state grading is not accurate, corresponding data and information must be manually input, first-aid equipment cannot be communicated, and data collection cannot be comprehensively carried out are effectively solved.

Description

Technical field [0001] The present invention belongs to the field of information management data management technology, in particular, involves an adult emergency treatment classification system and a grading method. Background technique [0002] At present: With the increase in social population and the acceleration of population aging, the crowd of emergency department has become a global issue. Emergency diagnosis is based on the patient's complaint, main symptoms and signs preliminary judgment, and the lightweight of the disease is prone to the propriety of diseases, timely arrangement procedures and guidance specialists, so that emergency patients have been diagnosed as soon as possible. The quality of emergency diagnosis is directly related to the effectiveness and satisfaction of treatment, and as the national grading diagnosis and treatment is gradually important to the patient's conditional assessment. [0003] However, the existing conditional classification is not accu...

AI Technical Summary

Problems solved by technology

[0003] However, the existing disease classification is not accurate, and the corresponding data and information must be manually input, and it is impossible to connect with emergency equipment and comprehensive data collection

[0004] Through the above analysis, the problems and defects of the existing technology are: the existing disease classification is not accurate, and the corresponding data and information must be manually input, and the first aid equipment cannot be connected, and the data collection cannot be comprehensive

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