Case Study: How to Apply Data Mining Techniques in a Healthcare Data Warehouse

ABSTRACT
Healthcare provider organizations are faced with a rising number of financial pressures. Both administrators and physicians need help analyzing large numbers of clinical and financial data when making decisions. To assist them, Rush-Presbyterian–St. Luke’s Medical Center and Hitachi America,Ltd. (HAL), Inc., have partnered to build an enterprise data warehouse and perform a series of case study analyses. This article focuses on one analysis,which was performed by a team of physicians and computer science researchers, using a commercially available on-line analytical processing(OLAP) tool in conjunction with proprietary data mining techniques developed by HAL researchers. The initial objective of the analysis was to discover how to use data mining techniques to make business decisions thatcan influence cost, revenue, and operational efficiency while maintaining a high level of care. Another objective was to understand how to apply these techniques appropriately and to find a repeatable method for analyzing data
and finding business insights.
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http://www.himss.org/content/files/jhim/15-2/him15208.pdf