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Welcome to the MAV-clic wiki!
Achieving research and operational analytic goals for the provision of better care and better health of population at lower costs together with better work-life for clinicians and staff at UConn Health, we present i.e. Management, Analysis and Visualization of Clinical Big Data (MAV-clic).
MAV-clic is a new, large scaled, user-friendly, interactive, cross-platform, encrypted, multi-roles based, automated, customized and centralized multi-database management system at UConn Health. MAV-clic is based on Butterfly model and product line architecture; therefore all major modules are capable of performing individual key roles as well as integrating each other.
- Asst. Prof. Dr. Zeeshan Ahmed
- Asst. Prof. Dr. Min Jung Kim
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