Fully unattended hospital AI registration system

By building a fully unattended AI-powered registration and post-diagnosis task distribution system, the problems of multi-point queuing and information fragmentation in the traditional hospital medical process have been solved. It has achieved end-to-end automation from registration to post-diagnosis task distribution, improving medical efficiency and convenience, and has emergency response capabilities.

CN122158011APending Publication Date: 2026-06-05姚舜
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Patent Information

Application Number
CN202511530107.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2024-12-04
Filing Date
2025-10-24
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional hospital treatment processes suffer from problems such as multiple queuing points, manual data entry errors, fragmented information flow, and uneven equipment utilization. Moreover, existing systems are difficult to automate end-to-end unattended operations, and patients still need to queue twice at the cashier or manual window, resulting in limited overall efficiency improvements.

Method used

By employing a multimodal identity recognition and verification module, a natural language understanding and human-computer interaction module, an integrated registration and approval processing module, a list recognition and billing module, a payment and settlement module, a list receiving and task distribution module, and a process control and emergency handling module, a fully unattended AI registration and post-diagnosis task distribution system is constructed, realizing full automation from the patient's self-service machine or mobile terminal to the doctor's completion of the prescription, including real-time distribution and on-the-go navigation.

Benefits of technology

It has achieved unattended end-to-end automated registration and post-diagnosis task distribution, reducing manual intervention and repeated queuing, improving medical efficiency and convenience, and automatically downgrading and recording audits in abnormal situations to ensure the continuity and traceability of the process.

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Abstract

The invention discloses a full-unattended hospital AI registration system which is oriented to unified interaction between a hospital self-service terminal (self-service machine) and a patient mobile terminal (including WeChat / Alipay applet and App). According to the system, multi-mode identity verification and natural language understanding are taken as entrances, and a closed-loop process of registration, approval, list identification, charging, one-key payment, task distribution and navigation / number calling is run through. All the modules are arranged at the background through a state machine / workflow, and automatic degradation and compensation can be achieved when abnormity occurs. The method is characterized in that structural analysis of a consulting room electronic list and real-time load perception are coupled to task distribution decision making, in-transit navigation and reminding which can be expanded to AR glasses are combined with a mobile terminal and a self-service machine, so that a patient does not need to queue up and change windows after payment is completed, and the patient directly arrives at a target window / department according to the shortest path.
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