Anesthesiologist training method and equipment based on human-machine interaction, and storage medium

Abstract

The application discloses an anesthesiologist training method and equipment based on human-machine interaction, and a storage medium. The method comprises the following steps: collecting voice data through a terminal, and sending the voice data to a human-machine intelligent interaction training cloud side, thereby acquiring training audio data, related to the voice data, of the anesthesiologist training knowledge, and then enabling the terminal to receive and play the training audio data. Through the method disclosed by the application, the artificial intelligent voice interaction technologyis sufficiently utilized, and a large-capacity clinical anesthesia knowledge database is innovatively created at the cloud side; a result with high matching degree is acquired through computer deep learning; compared with the traditional clinical training mode, the technical advantages of precise matching capacity of the artificial intelligence voice recognition and computer deep learning model can be sufficiently utilized, the training is conveniently integrated into the clinical training work of the anesthesiologist and the diplomate, and the training efficiency can be obviously improved when the training mode is optimized.

Description

technical field [0001] The present application relates to the field of medical technology, in particular to an anesthesiologist training method, device and storage medium based on human-computer interaction. Background technique [0002] In order to promote the innovation of health science and technology, the country took the lead in carrying out the standardized training system for residents in Shanghai in 2010, and implemented the training of specialist doctors in 2013, which has been widely promoted nationwide. However, the ratio of anesthesiologists in my country is still obviously insufficient today, of which there are only 0.5 anesthesiologists per 10,000 people; so far, the number of anesthesiologists in my country is only about 90,000, and the gap is still about 300,000. Therefore, optimizing the training system for anesthesia residents and specialists has important practical significance and is urgent, and it is also the primary task of building anesthesia talent team...

AI Technical Summary

Problems solved by technology

[0003] The traditional resident and specialist training mode is mostly through the training center for centralized teaching or the teaching of the teaching teacher is relatively separated from daily clinical work, and it is also impossible to provide individualized training for trainees and at the same time need to match more medical teaching resources to meet the needs, and search through the public search platform, the results are often far from professional and accurate, and may even cause misleading

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