MedThaiSAGE2: Enhancing the Decision Support System using Rich Visualization on SAGE 2

R2R Thailand gathers thousands of medical Routine to Research project data in Thailand and transforms into a valuable knowledge resource for improving healthcare services and supporting healthcare policymakers. MedThaiVis was developed to serve as a tool to visualize these large and complex data and extended to operate on the Scalable Adaptive Graphics Environment (SAGE2). This platform helps healthcare policymakers to use MedThaiSAGE, a Decision Support System based on Association Rules, visualizes insights of the R2R complex data on the SAGE2 high-resolution monitor wall assisting in a policy development. However, MedThaiSAGE has a limitation in terms of visualization from MedThaiVis and these two platforms perform independently. Therefore, we propose an approach to integrate these two platforms in order to enhance their capability. There are three main issues: 1) data integration, 2) communication and cooperative workflow between the two platforms, and 3) fully support on SAGE2. In conclusion, our approach can help users to explore the overview and insights of R2R data and increase the capability to support healthcare policymakers.