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    ERaaS

    Exam Room as a Service

    Transform any room into an AI-powered Digital Exam Room in 30 minutes. Built on Samsung's purpose-built healthcare device platform with digitalhumanOS™ AI intelligence—no construction, no complex IT setup, just instant clinical AI deployment.

    Gia Digital Human AI Coordinator on Samsung DeX - ERaaS room transformation in 30 minutes

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    30 min
    Setup Time

    Healthcare Transformation in 30 Minutes

    ERaaS combines Samsung medical devices with DigitalHumanOS™ for instant healthcare automation

    30-Minute Setup

    Complete transformation from standard room to AI-powered Digital Exam Room in half an hour

    Zero IT Requirements

    Plug-and-play deployment with no technical expertise or infrastructure changes needed

    94% Accuracy

    Clinically validated AI achieving 94% diagnostic accuracy for cognitive and depression screening

    9 Digital Humans

    Specialized AI assistants for intake, screening, nursing, and patient experience coordination

    78 Languages

    Global accessibility with 78 languages and 48 emotional expressions for diverse patient populations

    60-Day ROI

    Guaranteed return on investment within 60 days through workflow optimization and automation

    9 Specialized Digital Humans

    Meet the AI team that transforms your exam room into an intelligent healthcare environment.

    The digitalhumanOS 8+1 architecture.

    Gia™ serves as the master coordinator, orchestrating 8 specialized Digital Humans to deliver comprehensive patient care in every ERaaS deployment.

    Service Model Built for Scale

    ERaaS delivers enterprise-grade healthcare automation through a flexible subscription model, eliminating capital expenditure and technical complexity.

    Subscription-Based Deployment

    No upfront hardware costs, predictable monthly pricing, scalable across multiple locations

    Turnkey Installation

    Complete setup, configuration, and training included in service package

    Ongoing Support & Updates

    24/7 technical support, automatic software updates, continuous AI model improvements

    What's Included

    • Samsung medical-grade devices with pre-installed DigitalHumanOS™
    • 9 specialized Digital Humans coordinated by Gia™ AI
    • HIPAA-compliant infrastructure and data security
    • Staff training and onboarding programs
    • Real-time analytics and performance monitoring

    Simple Deployment Process

    From standard room to AI-powered Digital Exam Room in three simple steps

    1

    Site Assessment

    Quick room evaluation and power/internet connectivity verification

    2

    Device Installation

    Samsung devices installed and DigitalHumanOS™ configured for your workflow

    3

    Go Live

    Staff training completed, systems tested, Digital Exam Room operational

    First ERaaS Deployment

    Pace Cardiology becomes the first clinic to deploy ERaaS for enhanced patient care

    30% of cardiac surgery patients experience cognitive changes|<60s screening time
    "By implementing Scienza Health's digitalhumanOS™, we're easing staff burnout, reducing patient wait times, and recovering lost revenue — while ensuring patients receive timely, comprehensive care."

    Dr. Yaariv Khaykin

    Chief Medical Officer, Pace Cardiology

    Powered by Industry Leaders

    ERaaS leverages partnerships with global technology and healthcare leaders

    Ready to Transform Your Exam Rooms?

    Start your ERaaS deployment today and experience the future of healthcare delivery in just 30 minutes.

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    Voice Assistant Instructions

    The Gia AI voice assistant is available in the bottom right corner of the page. Click the voice assistant button to start a conversation.

    • Press Tab to navigate to the voice assistant button
    • Press Enter or Space to activate the assistant
    • Use your microphone to speak with the AI assistant
    • Press Escape to close the conversation window

    The voice assistant can help you with clinical documentation questions, product information, and healthcare AI implementation guidance.

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