Menu
    Head office

    3F #307, 288, Digital-ro, Guro-gu,

    Seoul, 08390, Republic of Korea

    R&D center

    3F #304~307, #314, 288, Digital-ro,

    Guro-gu, Seoul, 08390, Republic of Korea

    Email

    business@ngenebio.com

    Tel

    02-867-9798

    Fax

    02-866-9784

    BUSINESS

    Integrated Data System

    NGLIS is a platform that supports end-to-end genomic testing workflows,
    from hospital orders to data analysis and reporting.

    NGLIS

    (Next-Generation Genomic
    Laboratory Information System)

    NGLIS is an integrated platform that connects hospital EMR systems with
    genomic analysis software to manage and standardize the entire genomic
    testing workflow, from test orders to data analysis and reporting.
    With SOP-based workflows, quality control mechanisms, and support for
    simultaneous DNA and RNA analysis, NGLIS enhances data accuracy,
    traceability, and operational efficiency in clinical genomic testing.

    NGLIS Workflow

    Key Features

    System Integration

    EMR integration for test orders and results

    Connectivity with clinical information databases

    Integration with research data systems

    Management of data from external and partner laboratories

    Process Management

    SOP-based standardized workflows

    Experimental data and audit trail management

    QC-based analytical instrument management

    Web-based operational environment

    Data Operations

    Task-oriented, user-friendly UI/UX

    Clinical information–linked knowledge base

    Customizable genomic filtering and test data linkage

    Rule-based clinical comments

    Analytics & Reporting

    Configurable categories and metrics

    Analytics across test data, variants, actionable insights, reports, and quality indicators

    Working Process

    • 01
      EMR
      NGS Test Order
      02
      ORDER
      Order Registration
      03
      QC
      Lab Data
      Management
      04
      SEQUENCING
      Sequencer
      Management
      05
      ANALYSIS
      Automated BI
      Analysis Pipeline
      06
      BI REVIEW
      Analysis
      Results Review
      07
      CLINICAL REVIEW
      Final Clinical
      Review
      08
      CLINICAL REPORT
      Report
      Generation
      09
      EMR
      Result Delivery

    System Architecture

     

     

    G-Hub is NGeneBio’s next-generation precision medicine platform,
    designed to integrate its core data technologies and to be continuously
    advanced in a phased and systematic manner.

    G-Hub System

    G-Hub transforms fragmented multimodal data from hospitals and
    research environments into actionable insights.
    By establishing meaningful connections across diverse data sources, it enables
    the discovery of clinical value and supports healthcare professionals and researchers
    in making accurate, evidence-based decisions through an advanced integrated platform.

    Key Features

    Multimodal Data Library

    Integrates and standardizes fragmented medical data,
    including genomics (NGS), clinical data (EMR), and pathology,
    into internationally compliant, AI-ready formats
    to build high-quality multimodal datasets.

    AI-Driven Clinical Decision Support(CDSS)

    Provides biomarker-informed treatment strategies and
    supporting evidence through real-world data (RWD) analytics
    to enable precision medicine–driven clinical decision-making.

    Biomarker-Based Intelligent Clinical Matching

    Automatically matches patients to relevant clinical studies
    by comparing individual genetic variants with global
    clinical trial data in real time.

    RWE-Based Research Analytics

    Visualizes and analyzes large-scale real-world evidence (RWE)
    from clinical practice to support drug target discovery and
    therapeutic candidate validation.

    G-Hub Data Circulation Model

    A continuous feedback loop connecting clinical data, AI insights, and research. 

     

    • 01
      Standardization and Assetization of Medical Data

       

      Standardizes and integrates multimodal medical data
      to build scalable data assets applicable to diagnostics,
      treatment, and drug discovery.

      Provides a platform that enables pharmaceutical companies,
      research institutions, and hospitals to access and
      utilize standardized data assets in real time.

    • Expected Effects
    • 04
      Enhanced Precision Medicine–Driven Decision-Making

       

      Supports clinicians in developing patient-specific diagnostic
      strategies based on AI-generated clinical evidence

      Delivers integrated genomic and clinical analysis reports
      to enable evidence-based clinical decision-making

    • 02
      Optimized Clinical Trial Matching

       

      Reduces time required to identify and match eligible patients
      through real-time comparison of biomarkers and global clinical trial data

      Improves research visibility, offering patients new treatment options
      and enhancing protocol efficiency for researchers

    • 03
      RWE-Driven Data Flywheel for Precision Medicine

       

      Integrates real-world evidence (RWE) into drug R&D pipelines
      to reduce trial-and-error and improve analytical quality

      Continuously enhances data accuracy and precision
      by incorporating real-world prognosis data and clinical feedback