Service Robot · Products

Unisound Medical Guide Robot

Deployed across hundreds of Chinese hospitals, Unisound’s Medical Guide Robot combines AI-powered voice recognition with multi-modal interfaces to simplify patient reception and navigation services. The system reduces front-desk workload while providing 24/7 assistance for department inquiries, wayfinding, and preliminary symptom assessment.

Product Overview

The Medical Guide Robot functions as an intelligent service terminal positioned in hospital lobbies, outpatient registration areas, and major corridor junctions. Unlike simple information kiosks, the system uses Unisound’s UniBrain AI platform to understand natural language queries and provide contextually appropriate responses.

The robot addresses common pain points in Chinese hospital environments where high patient volumes create long queues and overburdened reception staff. By handling routine inquiries—department locations, doctor schedules, registration procedures—the system frees human staff to address more complex patient needs.

Key Features

Deployed across nearly 500 hospitals in China, Unisound Medical Guide Robot provides voice, touch, and facial recognition interfaces for patient navigation and triage.

  • Natural Language Voice Interaction: Powered by Unisound’s speech recognition technology, the system understands spoken Mandarin queries including multiple regional dialects. Patients can ask questions conversationally rather than navigating menu-based interfaces.

  • Indoor Navigation Guidance: The robot provides step-by-step directions to specific departments, consultation rooms, and hospital facilities. Visual maps and voice guidance help patients navigate complex hospital layouts.

  • Symptom-Based Triage: Basic symptom assessment helps direct patients to appropriate departments, reducing misdirected visits and improving patient flow efficiency.

  • Medical Knowledge Q&A: Integration with clinical knowledge graphs enables the robot to answer general health questions, explain common procedures, and provide pre-visit preparation guidance.

  • Multi-Modal Interfaces: The system supports touch screen interaction, voice commands, and facial recognition for returning patients, accommodating different user preferences and accessibility needs.

  • Registration Assistance: Guides patients through online and offline registration processes, appointment scheduling, and basic administrative procedures.

Technical Specifications

Unisound Medical Guide Robot is a hospital service robot powered by the proprietary UniBrain AI platform, supporting Mandarin voice recognition with dialect coverage.

ParameterSpecification
AI PlatformUniBrain (Unisound proprietary)
Voice RecognitionReal-time ASR with dialect support
DisplayTouch-enabled LCD screen
Interaction ModesVoice, touch, facial recognition
ConnectivityHospital network integration
LanguagesMandarin Chinese (primary)

Clinical Applications

The Medical Guide Robot serves multiple functional areas within hospital operations:

Outpatient Reception: Handles first-contact patient queries about department locations, operating hours, and registration requirements. Reduces queue times at information desks during peak periods.

Wayfinding Services: Provides navigation assistance in large hospital complexes where patients frequently become disoriented. Particularly valuable in multi-building campuses and newly constructed facilities.

Pre-Consultation Preparation: Offers guidance on required documentation, testing preparations (fasting requirements, etc.), and appointment procedures.

General Health Information: Answers common health questions and provides basic health education, supplementing limited physician consultation time.

Deployment Context

Unisound reports medical solutions deployed across nearly 500 hospitals, though specific Medical Guide Robot installation numbers are not separately disclosed. Notable implementations include:

  • Integration with Peking Union Medical College Hospital systems (partnership established 2016)
  • Deployment in major tertiary hospitals across China
  • Connection to hospital information systems for real-time schedule and availability data

The Shenzhen Metro Line 20 deployment of Unisound’s intelligent voice system demonstrates the company’s capability in high-traffic public service applications, where the technology reduced ticket purchasing steps from 15 to 3 and improved equipment utilization efficiency by 300%.

Regulatory Status

RegionStatusNotes
China (NMPA)CommercialService equipment classification
CE (Europe)-Not disclosed
FDA (US)-Not disclosed

As a service information terminal rather than a diagnostic medical device, the Medical Guide Robot typically falls outside Class II/III medical device registration requirements. Regulatory pathway depends on specific functionality and integration with clinical systems.

Frequently Asked Questions

What functions can the Unisound Medical Guide Robot perform?

The robot provides hospital navigation and wayfinding, department and doctor information queries, symptom-based department recommendations, registration guidance, and general health information Q&A. It supports voice, touch, and facial recognition interaction modes.

How does the Medical Guide Robot handle different dialects?

Unisound’s speech recognition technology supports multiple Chinese dialects beyond standard Mandarin. The company’s voice technology in the Shenzhen Metro deployment, for example, supports 11 dialect variations, though specific dialect coverage for medical deployments may vary by installation.

Is the Medical Guide Robot a medical device requiring NMPA approval?

As an information and navigation service terminal, the Medical Guide Robot generally does not require NMPA medical device registration. However, any clinical decision support or diagnostic functions would be subject to relevant medical device regulations. Specific regulatory status depends on the system configuration and intended use claims.

Last modified: January 16, 2026

Sources

Publicly available references used for the data on this page. See data methodology for verification standards.