Scoring method and system for CPR examination training and examination of doctors

Abstract

The invention discloses a scoring method for CPR examination training and examination of a doctor. The method comprises the steps: selecting a free operation training mode and an actual combat operation examination mode by an examinee; obtaining examinee operation action video and audio information through a camera, and uploading the examinee operation action video and audio information to a server; comparing the real-time operation action with a standard operation in a database and outputting a comparison result; displaying the comparison result on a display device, and prompting in a voice or character interaction mode when the action is wrong; sending the received video and audio information to an AI intelligent scoring system by the server and carrying out intelligent scoring; and pushing the total scoring result of the examination to a display for display by the server. According to the invention, the problems of many students needing to be trained and insufficient practice opportunities at present are solved, the quality is improved, the cost is reduced, the unmanned examination needs to be evaluated by teachers, the AI score is added, a score standard is formulated, and theinvigilation evaluation efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a scoring method and system for physician CPR examination training and assessment. Background technique [0002] Sudden cardiac arrest is a serious threat to people's lives and health. Carrying out high-quality cardiopulmonary resuscitation (CPR, cardiopulmonary resuscitation) can significantly improve the survival rate of patients, and it is also an important means of saving patients' lives. The American Heart Association (AHA, American Heart Association) and the International Liaison Committee on Resuscitation (ILCOR, International Liaison Committee on Resuscitation) regard high-quality cardiopulmonary resuscitation as the core of resuscitation [1]. At present, the conventional cardiopulmonary resuscitation training and assessment methods are applied medical simulators and judged by referees. There are several disadvantages in doing so, for example, the examine...

AI Technical Summary

Problems solved by technology

There are several disadvantages in doing so, for example, the examiner's judgment is highly subjective and not objective enough; in the process of assessment and judgment, the specific compression depth and frequency of the candidate depend on the quality conditions of the simulator itself, which is difficult for the examiner to judge; during the training process, the trainee needs the examiner Always supervise and cooperate to correct and improve their own operations, which consumes a lot of manpower costs for training and assessment, etc.

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