Outpatient health care statistics data warehouse--implementation.
Data warehouse implementation is assumed to be a very knowledge-demanding, expensive and long-lasting process. As such it requires senior management sponsorship, involvement of experts, a big budget and probably years of development time. Presented Outpatient Health Care Statistics Data Warehouse implementation research provides ample evidence against the infallibility of the above statements. New, inexpensive, but powerful technology, which provides outstanding platform for On-Line Analytical Processing (OLAP), has emerged recently. Presumably, it will be the basis for the estimated future growth of data warehouse market, both in the medical and in other business fields. Methods and tools for building, maintaining and exploiting data warehouses are also briefly discussed in the paper.
Zilli
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Vizija d.o.o., Celje, Slovenia.
D000553:Ambulatory Care / Q000706:statistics & numerical data*; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D006801:Humans; D019451:Information Management / Q000191:economics; D008432:Mathematical Computing; D009862:Online Systems / Q000191:economics