About ACNet+
ACNet+ Consortium
ACNet Plus (Accessible Collaborative Network of Data-center Hospitals), which is a consortium formed by Seoul ST. MARY’S Hospital, Asan Medical Center, National Cancer Center, Chung-Ang University Hospital and Konkuk University Medical Center, was selected for the Medical Data-driven Hospital Support Project supervised by the Ministry of Health and Welfare in 2020 and has been implementing the project since August 2020.
Vision and Objective of the Consortium
From the year of 2023, the project will be carried out by building a joint data utilization research and analysis infrastructure among the consortium to improve user-centered data accessibility, and by adopting the establishment of joint data governance and the utilization and opening of data as its promotional strategies.

Based on ACNet+, the mega-sized medical data collaboration hub,
improve public health and lead innovative new medical technologies

Build an ecosystem for realizing medical AX based on
demand-tailored high-value medical data

  • 2026
    Demand-tailored

    Establishing the foundation for
    medical AI governance

    • Establishing the foundation for a medical AI management system
    • Building mega-sized high-quality data and AI-optimized infrastructure
    • Forming user-centered collaboration and validation processes
  • 2027
    Demand-tailored

    Operating medical AI governance
    and an AI validation system

    • Establishing and operating a dedicated medical AI organization
    • Establishing a reuse system utilizing mega-sized high-quality data and AI-optimized infrastructure
    • Operating and advancing user-centered collaboration and validation processes
  • 2028
    Demand-tailored

    Realizing AX and spreading outcomes
    based on medical AI governance

    • Operating and advancing a dedicated medical AI organization
    • Operating a reuse system utilizing mega-sized high-quality data and AI-optimized infrastructure
    • Building a medical AX ecosystem based on user-centered collaboration and validation

Based on ACNet+, the mega-sized medical data collaboration hub,
improve public health and lead innovative new medical technologies

Build an ecosystem for realizing medical AX based on
demand-tailored high-value medical data

  • Strategy
    Construction of Mega-sized High-quality Data
    Project
    • Construction of a common database
    • Cross-validation of data standards
    • Cross-validation of data quality
  • Strategy
    Construction of a Fast Data Use System
    Project
    • Running of Joint Data Operation Committee
    • Joint data review system
    • Joint operation of a portal
  • Strategy
    Safe Use of Data
    Project
    • Construction of on/off closed analysis environment
    • Execution of business-matching joint researches
    • Automatic appropriateness of de-identification
System of the Consortium

Host Institution

Seoul St. Mary’s Hospital
Overall management of project promotion
Establishment and operation of the consortium joint data use system

Participating Institutions

Asan Medical Center
Consortium joint project collaboration and project promotion by each institution
National Cancer Center
Consortium joint project collaboration and project promotion by each institution
Chung-Ang University Hospital
Consortium joint project collaboration and project promotion by each institution
Konkuk University Medical Center
Consortium joint project collaboration and project promotion by each institution
Achievement by the Project
1st Period(2020 ~ 2022)
Governance, infrastructure and platform-centered
establishment of a foundation for building and utilizing mega-sized high-quality data
  • Establishment and operation of a CIO-centered data support organization and data review committee
  • Construction and operation of a clinical research open data portal
  • Construction and advancement of research infrastructure
  • Construction and release of specialized datasets
2nd Period(2023 ~ 2025)
Based on consortium joint governance,
completion of a user-centered data utilization system
  • Establishment and operation of consortium medical data governance
  • Consortium Baseline DB standards and quality management
  • Discovery and support of consortium joint research
  • Construction and advancement of consortium-level research support infrastructure