Intelligent robot-based auxiliary treatment method, device and related equipment

By acquiring multimodal patient data through intelligent robots and utilizing multimodal deep learning and knowledge graphs, we can solve the efficiency and accuracy issues of patient department selection and improve the registration processing efficiency and service quality of digital medical services.

CN119479962BActive Publication Date: 2025-09-16PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Application Number
CN202411466466.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-09-16
Estimated Expiration
2044-10-18

AI Technical Summary

Technical Problem

With traditional technologies, it is difficult for patients to efficiently and accurately determine online which hospital department they should go to for registration and treatment. This is especially true when using artificial intelligence-assisted diagnosis, which is time-consuming, complicated, and unsuitable for department selection.

Method used

By using intelligent robots to obtain patients' multimodal disease information data, utilizing multimodal deep learning models and auxiliary medical knowledge graphs, combined with hospital department settings, registration recommendations are automatically determined and fed back to patients.

Benefits of technology

It has achieved efficient and accurate online automatic determination of which hospital department a patient should go to for treatment, improved the efficiency and accuracy of registration processing, and enhanced the level of automated services in digital healthcare.

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Abstract

The present application belongs to the field of digital medical technology, and provides a method, apparatus and related equipment for assisting medical consultation based on an intelligent robot. In order to solve the problem that traditional technology cannot efficiently and automatically determine online which department of the hospital the patient should go to for medical consultation, a preset intelligent robot is used to respond to the patient's medical consultation assistance request corresponding to the registration, obtain the patient's symptom information data, and determine whether the symptom information data is multimodal data. When the symptom information data is multimodal data, based on a preset multimodal deep learning model and a preset medical consultation assistance knowledge graph, and according to the symptom information data, the registration suggestion corresponding to the medical consultation assistance request is determined, and then the registration suggestion is fed back to the patient. This can efficiently and accurately determine online which department of the hospital the patient should go to for medical consultation to provide medical consultation assistance suggestions, and can improve the efficiency and accuracy of registration processing in the case of a large number of patients visiting the hospital.
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