This issue focuses on key issues relating to defining, planning, and implementing e-healthcare data warehousing, including discussing the application of a warehouse and variations on how it can provide benefits from a theoretical, practical, and economic prospective. Authors explore the life cycle of a data warehousing project and discuss major issues involved in beginning implementation of a data warehouse. They also focus on the role of data warehouses as a source of information in providing best practice and in advancing ...
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This issue focuses on key issues relating to defining, planning, and implementing e-healthcare data warehousing, including discussing the application of a warehouse and variations on how it can provide benefits from a theoretical, practical, and economic prospective. Authors explore the life cycle of a data warehousing project and discuss major issues involved in beginning implementation of a data warehouse. They also focus on the role of data warehouses as a source of information in providing best practice and in advancing the science of managed care. What form information takes and how it gets used is addressed through discussion of data visualization (the presentation of data to users in the form in which they are used to working) and data marts. The authors present case studies exploring the benefits of data mining and illustrating the use of a data warehouse to support research and education functions. This issue will serve as an invaluable resource to both those who are new and already familiar with implementing data warehousing projects.
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