- Overview of K-CURE Service
Overview of K-CURE Service
- Create research ecosystem for the opening and utilization of data by supporting service that combines
clinical and public data and establishing safe utilization center - Establish the foundation for personalized care and improved quality of disease prediction research
- Conduct AI-based research and technology development utilizing data accumulated in medical institutions
- Expand medical service through improved quality of care
Establishment of K-CURE big data research ecosystem
Background of K-CURE (clinical data network)
Background of
K-CURE (clinical data network)
System Configuration for K-CURE Management
System Configuration for K-CURE Management
K-CURE Portal Service Features
K-CURE Portal Service Features
Background of K-CURE (clinical data network)
Analysis
background
background
Background
- Need to combine various kinds of data from clinical and cancer public data
(health examination, caner registration, billing, mortality statistics, etc.) - Need to improve accessibility to disease-specific big data urgently
Purpose
- Establish research ecosystem for utilizing and opening data by providing service
that combines clinical and public data and establishing safe utilization center - Establish disease-specific library and lay the foundation for
data utilization
Details
- Establish clinical data network as a preliminary model
- Establish data for retrospective study on cancer data
- Establish the platform for safe use to support safe and diverse analysis
- Organize joint council and establish management system for data utilization
System Configuration for K-CURE Management
K-CURE Portal Service Features
Data map
- Search available datasets including clinical and cancer public library, public combined DB
and healthcare data -
Research
support
- Managing data application to support application for data, utilization , approval
and data export as well as deliberation organically
Research
consulting
- Supporting data utilization such as research design, managing meta data and creating
research data and matching those who need research
Data
governance
- Performing periodic monitoring and quality management throughout the entire lifecycle of
research data generation, disposal, and prevention of misuse