Data Mining for Early Identification of Critical Events/Conditions in Medical Logistics

"The primary objective of this proposal is to identify critical data mining and analytical tools and emerging technologies and methodologies that can be used to improve the entire military medical logistics/supply chain management. In addition, as part ofthis research and analysis, Premise Development Corporation will demonstrate the feasibility of creating modern and user-friendly "dashboards" that integrates Defense Medical Logistics Standard Support (DMLSS) data. These dashboards empower users toproduce business intelligence and knowledge management on demand and include Statistical Process Control (SPC) methodologies such as control charts, pareto diagrams, histograms, and other advanced data mining and visualization techniques.The architecture and functionality of the proposed dashboards will provide a highly graphical presentation layer of data sets that are or will be in the DoD medical supply chain databases of the DMLSS system. In particular, a functional prototype systemwill be developed using sample data sets (provided as appropriate by the government) from the Joint Medical Asset Repository (JMAR) data warehouse. The JMAR data warehouse contains comprehensive and timely information with respect to the location,movement, status and identity of medical materiel (e.g., supplies, equipment, pharmaceuticals, blood and blood products, staff, transportation, etc.) throughout the world. Given the vast amounts of data available