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DOUZONE ICT GROUP provides ICT services that lead enterprise informatization.

Revolutionizing Healthcare: The Cloud-Based Medical Big Data Platform

A specialized medical big data platform simplifies accessing, using, and analyzing healthcare data.
It leads the healthcare community by creating a unified CareNetwork for various stakeholders.
This platform guarantees data integration, safety, and efficient use across the distributed healthcare data landscape.
Medical Big Data Platform
Cloud-Based Innovation Revolutionizing the Healthcare Ecosystem
For Hospital & Clinic Use
Insight into the DOUZONE Healthcare Ecosystem (CareNetwork)
Leading the healthcare ecosystem by integrating diverse healthcare stakeholders into a unified CareNetwork.
한눈에 보는 더존
  • 01 Medical Big Data Platform
    Precision Medical Service Platform
    Hospital-Specific Clinical Data Warehouse
    Data Cleansing and Labeling
    Data Processing and Analysis Tools
    Healthcare AI Marketplace
    Clinical Decision Support System
    02 Enterprise City (Medical Cluster)
    Corporate Research Labs, AI Startups
    Pharmaceutical Company (Drug Development)
    Insurance Companies & Medical Data Analysis Reporting
    School (Human Resource Development)
    03 Hospital
    Tertiary Care Hospital
    General Hospital
    General Clinic
    Healthcare Information Sharing & Collaboration System
  • 04 Citizen (Patient)
    Mobile Platform-Centric MyData
    Patient-Centered Medical App Services
    05 Public Institution
    Coordination with Health Insurance Review and Assessment Service (HIRA)
    Local Government Medical Welfare Services
    National-Level Disaster Bed Resource Management
CareNetwork을 통한 의료 전달 체계 구축
환자의 3차병원 편향현을 방지하고, 효율적인 의료 자원 분산을 위한 협진 체계(CareNetwork)의 구축
CareNetwork을 통한 의료 전달 체계 구축
01 Severe·Emergency Patients
Precision healthcare service platform
Hospital-specific clinical data warehouse
Transfer to secondary hospitals for therapy-focused healthcare
02 Mild·Chronic Patients
Treatment & management of relatively mild·chronic patients
Conducting inpatient treatment & therapy-centered medical tasks
Prevention of bias towards tertiary hospitals
03 Daily Treatment Patients
Treatment & management of mild patients
Pre-disease management before onset of illness
Preemptive disease prevention for patients
04 Follow-Up Management
Management of diseases & health using mobile devices
Utilizing various services integrated with healthcare
Storage & retrieval of diverse personal medical records
Medical Big Data Platform
Medical research can be conducted securely within a verified environment using a cloud-based big data platform, without the need to export data externally.
CDW
Standardizing data in fragmented healthcare data environments
Highly usable data ecosystem structure through collection·transformation·loading
DOCC
Real-time monitoring of operational status & retrieval of aggregated information
CDSS
Decision support system based on clinical information
Image Labeling
Labeling service for the utilization of medical images
WIDE
Scalable container-based analysis tools
Convenient provision of data development environment
Healthcare Ecosystem
Medical Big Data Platform
Precision Medical Service Platform
Hospital-Specific Clinical Data Warehouse
Data Cleansing & Labeling
Data Processing & Analysis Tools
Healthcare AI Marketplace
Clinical Decision Support System
Enterprise City (Medical Cluster)
Corporate Research Labs, AI Startups
Pharmaceutical Company (Drug Development)
Insurance Companies & Medical Data Analysis Reporting
School (Human Resource Development)
Hospital
Tertiary Care Hospital
General Hospital
General Clinic
Healthcare Information Sharing & Collaboration System
Public Institution
Coordination with Health Insurance Review & Assessment Service (HIRA)
Local Government Medical Welfare Services
National-Level Disaster Bed Resource Management
Citizen (Patient)
Mobile Platform-Centric MyData
Patient-Centered Medical App Services
Advantages of Medical Big Data Platforms
Advantages of Medical
Big Data Platforms

Clinical Data Warehouse for Medical Research CDW (Clinical Data Warehouse)

  • Provision of purpose-specific individual workspaces & organizational shared workspaces based on project characteristics
  • Securely share datasets created within the service in the workspace without external export
  • Support for two data processing tools: Cohort Discovery & Data Selector
  • Quick access supported through integrated search by dataset name & keywords
  • Ability to view authorized individual/shared datasets & confirm table, column information
  • Sorting data through pivot tables, tracking history, & enabling commenting functionality
  • Convenient collaboration supported through workspace & dataset sharing

Simplified Data Organization for Healthcare Experts with Cohort Discovery

  • User-friendly interface enabling easy data exploration & manipulation for non-IT medical professionals
  • Instant confirmation of data distribution enables sequential data structuring
  • Intuitive organization of data values into ranges for easy data processing support

Empowering Data Analysis Specialists to Explore and Combine Data with the Data Selector

  • Intuitive data processing & integration facilitated via workflow-style UI
  • Provide an environment familiar to analysts by enabling condition settings through code-based functions such as Filter, Group by, and Join
  • Configure detailed fields for each workflow component to create a logically structured dataset based on the workflow flow

Intuitive UI for Data Exploration

  • Visualize human organs to facilitate intuitive data exploration on topics of interest
  • Pre-verify data composition by examining the distribution of data volumes across medical specialties
  • Support the establishment of data structuring plans through queries on the status of item data held by individual institutions

Utilizing MRI, CT, X-Ray, and Other Imaging Data through Image Labeling

  • Offer project-level permission assignment for individual/shared project settings, detailed information retrieval, task-specific labeling status tracking, & information retrieval
  • Viewer functionality for single/multiple/continuous capture images & medical images extracted from DICOM files, with thorough data configuration checks before setup
  • Provide a customized image labeling environment using an editor tool with various labeling features

A Professional and Versatile Data Analysis Environment: WIDE

  • Support the configuration of containers (analysis environments) tailored to research purposes through computing resource settings & a variety of pre-provided libraries
  • Support for integration with purchase (application) data & file management
  • Simplified version control through the provision of a history management feature for analysis code
  • Support for setting up a collaborative research environment through easy sharing of analysis environments

Standard Therapy, Effect Prediction, and Individual Prognosis Supported for Severe Patients through CDSS
(Clinical Decision Support System)

  • Periodically monitor patients' time-series information
  • Provide predictive models based on various machine learning algorithms
  • Adjust numerical values & observe disease patterns based on patient characteristics
  • Provide various download methods, including format & structure reordering, based on the purpose of the generated simulator

Integrated Hospital Treatment Operations System Developed in Collaboration with Samsung Seoul Hospital DOCC
(Data based Operation & Communication Center)

  • Intuitively grasp the operational status of equipment, personnel, & space within the facility
  • Smooth communication between field practitioners & real-time monitoring of on-site conditions within the facility
  • Support proactive decision-making by providing comprehensive management information for preemptive resolution of issues
Expected Effect
Through a cloud-based data ecosystem, medical tasks can be efficiently managed within a validated secure environment, eliminating the need for external transfers.
  • 01

    Integrated Healthcare Data Ecosystem

    In a fragmented healthcare data environment, establishing standardized procedures for collecting, transforming, and loading data creates a highly functional data ecosystem structure.

  • 02

    Dynamic Data Utilization

    Within the platform, various tasks such as data collection, processing, and analysis are integrated, allowing for seamless operation by connecting information across services.

  • 03

    Secure Services

    Safeguarding the safety of data, files, and work environments through a range of cloud security policies, including international standards certification (ISO 2799) for healthcare personal data protection systems.

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