Intelligent triage method, device, electronic equipment and storage medium

Abstract

This application relates to the technical field of medical science and technology, and specifically provides an intelligent triage method, device, electronic equipment, and storage medium, wherein the method includes: obtaining at least one symptom of the patient; the at least one symptom includes According to the at least one symptom, obtain the department recommendation result corresponding to the patient; obtain feedback on the department recommendation result; determine the symptom obtained in this round of symptom inquiry as the target symptom according to the feedback; Symptoms carry out the next round of symptom inquiry, and repeat the rounds of symptom inquiry until the patient is returned to the referral department. The embodiment of the present application not only helps to reduce the number of rounds of interaction with patients during triage, but also helps to improve the accuracy of triage.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an intelligent triage method, device, electronic equipment and storage medium. Background technique [0002] Patient triage is an important task in the daily work of the hospital. Fast and accurate triage can save patients' time and improve their experience. The traditional triage methods are mostly manual triage. Due to the different levels of hospitals in various places and the level of medical personnel are also uneven, the accuracy of manual triage is also not the same, and a certain amount of manpower is required. Under this background , Intelligent triage was born. The current intelligent triage often uses the reinforcement learning model to decide the number of consultation rounds. The existing reinforcement learning method does not distinguish the patient's symptoms, and the symptoms that do not help the department recommendation are also considere...

AI Technical Summary

Problems solved by technology

The traditional triage methods are mostly manual triage. Due to the different levels of hospitals in various places and the level of medical personnel are also uneven, the accuracy of manual triage is also not the same, and a certain amount of manpower is required. Under this background , the birth of intelligent triage

The current intelligent triage often uses the reinforcement learning model to decide the number of consultation rounds. The existing reinforcement learning method does not distinguish the patient's symptoms, and the symptoms that do not help the department recommendation are also considered emphatically. In addition, , set both symptom inquiry and department recommendation as the learning objectives of the reinforcement learning model, which makes the model learning task more complicated, which will affect the accuracy of triage

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