Medical triage method and system based on clustering model, equipment and storage medium

Abstract

The invention relates to the field of digital medical treatment, and provides a medical triage method and system based on a clustering model, computer equipment and a storage medium, and the method comprises the steps: determining the treatment demand of a patient according to a received category selection command; analyzing the received patient complaint, and obtaining a triage result of the patient; obtaining a recommended doctor group according to the triage result and the skilled indexes of the doctors for different types of diseases; monitoring and analyzing message events in doctor inquiry in real time, and obtaining the busy degree and fatigue degree of the recommended doctor group; and according to the doctor seeing demand, configuring a weight factor and a weight coefficient of a recommendation weight, calculating the recommendation weight of the recommended doctor group, and recommending the doctor with the highest weight to the patient. According to the invention, doctors can be accurately allocated for patients, the waiting time of the patients is reduced, the inquiry quality is improved, the workload of the doctors is also improved, the working efficiency of the doctors is improved, and the win-win effect of improving the Internet medical service quality and improving the satisfaction of the patients is realized.

Description

technical field [0001] The invention relates to the field of digital medical care, in particular to a medical triage method, system, device and storage medium based on a clustering model. Background technique [0002] Nowadays, social medical resources are in short supply, and users face various difficulties such as difficulty in seeing a doctor, long queues, and slow access to a doctor. In the traditional outpatient service system, the hospital provides a limited number of number sources, and patients queue up to register in turn, waiting for the doctors in the department to follow the order of numbers. Call the number one by one for diagnosis and treatment services. After the number is called, the user and the doctor can conduct preliminary communication. If the doctor receives a difficult disease user or a patient who is not good at the disease, or the patient is registered in the wrong department, the overall work efficiency of the doctor will be difficult. Improvement, ...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide an online medical triage method, system, computer equipment and storage medium based on a clustering model, which is used to solve the problems of the online registration system in the prior art. Simple allocation based on the patient's chief complaint, registration time, and the queue length of the doctor's seat cannot match the most suitable doctor for the patient, which reduces the quality of service of the medical system

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