Visualization of services availability: Building healthy communities

Abstract

Business Intelligence techniques have been applied to data related to healthcare infrastructure. Data visualization has eliminated tedious analysis of legacy reports and provides mechanism for optimally aligning resources with the needs. Once the data from disparate sources is cleansed and integrated into a data warehouse, the OLAP (Online Analytical Processing) cube allows slicing along multiple dimensions determined by key performance indicators representing population and patient profiles together with complex management groups. In addition, comparison, availability, service levels and community health reports are also generated on demand. All reports can be drilled down for navigation at a finer granularity. The use of mapping tools, customized shape files and embedded objects further augments the navigation. Finally, web forms provide a mechanism for remote uploading of data and transparent processing of the cube. © Springer International Publishing Switzerland 2014.