Triage and referral method and system based on self-service consultation terminal

Abstract

The invention provides a triage and referral method and system based on a self-service consultation terminal, and relates to the technical field of intelligent consultation equipment. The method includes: obtaining detection data collected by medical detection equipment, performing triage according to the detection data and selecting a matching doctor, outputting the aforementioned doctor information through the display structure on the self-service consultation terminal; collecting the user's operation of selecting a target doctor and Generate a machine-readable code, the machine-readable code is associated with the communication account information of the aforementioned target doctor and the aforementioned detection data; detect the scanning operation of the machine-readable code, determine that a referral is triggered when the code is read for the first time, and establish the same relationship with the aforementioned Communication between target physicians, and transmission of detection data transmission. The present invention can intelligently triage users, combine on-site consultation with online consultation and enable safe and fast referral between the two, and provide a simple, convenient, safe and efficient self-service consultation solution .

Description

technical field [0001] The invention relates to the technical field of intelligent interrogation equipment. Background technique [0002] Traditional medical diagnosis is performed through on-site operations in hospitals. With the continuous development and expansion of the intelligence of the medical industry, all institutions are committed to promoting the process of electronic and automated services, and provide better services by using advanced unattended equipment and operating methods to expand influence and improve image. In this context, the concept of smart healthcare was proposed. Smart healthcare is a medical service model that integrates artificial intelligence, sensor technology, Internet of Things, cloud computing and other intelligent technologies, and centers on patient data. It uses new sensors, Internet of Things, communication and other technologies combined with modern medical concepts to construct a The regional medical information platform centered o...

AI Technical Summary

Problems solved by technology

However, there are the following defects in the prior art: 1) The patient needs to communicate with the doctor at the service station, and needs to send his disease description and disease drawings to the sub-server through the mobile phone, and the sub-server forwards it to the medical terminal, which is provided by the doctor. Online service, the operation is relatively cumbersome; 2) Due to the limitation of professional knowledge, it is difficult for patients to accurately select matching department doctors according to their own conditions and symptoms, resulting in low consultation efficiency; 3) If the previous user consultation time is long, the service station will Occupied for a long time, the user needs to wait for a long time to communicate with the doctor of the medical terminal; 4) The processing time for the referral is long, and the integrity and security of the data cannot be guaranteed

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