The development of health care data warehouses to support data mining.
Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.
Lyman
Jason A
JA
Division of Clinical Informatics, Department of Public Health Sciences, Clinical Data Repository, University of Virginia School of Medicine, Suite 3181 West Complex, 1335 Hospital Drive, Charlottesville, VA 22908, USA. lyman@virginia.edu
Scully
Kenneth
K
Harrison
James H
JH
D001185:Artificial Intelligence; D003628:Database Management Systems; D016208:Databases, Factual / Q000639:trends*; D003695:Delivery of Health Care; D006801:Humans; D008490:Medical Informatics / Q000379:methods*; D010363:Pattern Recognition, Automated