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    Quantino Health

    Quantino Health

    Vertical
    Healthcare

    AI infrastructure platform automating workflows and patient interactions for healthcare.

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    About Quantino Health

    Quantino Health: Intelligence beneath every surface of care

    Quantino Health is an AI infrastructure layer designed for the global healthcare enterprise. It serves as a core intelligence system that integrates across multiple layers of care, including patient experience, clinical workflows, and back-office administration, to automate and enhance interactions between patients and providers.

    Key Features

    • EHR & EMR Integration: Plugs into systems like Epic, Oracle Health, and athenahealth to read, reason, and write in clinical context.
    • AI Voice Agents: Real-time, conversational voice agents handle call center volume, appointments, eligibility, intake, follow-ups, and callbacks without hold music.
    • Clinical Workflow Automation: Provides documentation, coding, and decision support to return time to medical practices.
    • Insurance & Claims Management: Automates eligibility checks, prior authorizations, and denial responses end-to-end.
    • Healthcare LLM: Utilizes purpose-built language models trained for clinical accuracy and patient-friendly communication.
    • HIPAA-Compliant Infrastructure: Ensures patient data (PHI) is encrypted, protected, and handled with strict audit and access controls.

    Use Cases

    • Patient Acquisition and Onboarding: Connects with patients using AI-powered acquisition tools and QR-based onboarding.
    • Front Desk Automation: Manages high-volume clinic phone lines and IVR systems for scheduling and patient triage.
    • Back Office Operations: Streamlines scheduling, billing, and staffing operations beneath the care experience.

    Getting Started

    Website: https://quantinohealth.com

    Quantino Health provides a continuous AI core that connects the systems clinics already use, enabling healthcare providers to manage patient volume and administrative tasks with clinical accuracy and privacy.