title: 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 that can 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. The process used to identify opportunities and effect changes is described.
authors.affiliation: Rush Medical College, USA.
authors.forename: M
authors.initials: M
authors.lastname: Silver
authors.forename: T
authors.initials: T
authors.lastname: Sakata
authors.forename: H C
authors.initials: HC
authors.lastname: Su
authors.forename: C
authors.initials: C
authors.lastname: Herman
authors.forename: S B
authors.initials: SB
authors.lastname: Dolins
authors.forename: M J
authors.initials: MJ
authors.lastname: O'Shea
mesh_terms: D002641:Chicago; D003628:Database Management Systems / Q000458:organization & administration*; D003660:Decision Support Systems, Management; D003953:Diagnosis-Related Groups / Q000191:economics*; D017598:Efficiency, Organizational / Q000191:economics; D017721:Hospital Costs; D006784:Hospitals, Teaching / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D007253:Information Centers / Q000458:organization & administration*; D016247:Information Storage and Retrieval / Q000379:methods*; D008875:Middle Aged; D019982:Organizational Case Studies; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface