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[General principles of database storage operations with emphasis on OLAP reports]
Włodzimierz Borkowski1, Hanna Mielniczuk
1Zakład Informatyki, Centrum Medycznego Kształcenia Podyplomowego w Warszawie. wborkow@cmkp.edu.pl
Przeglad Epidemiologiczny
|April 7, 2005
Summary
This study introduces data warehouses and Online Analytical Processing (OLAP) reports for analyzing death records. These tools offer advanced epidemiological analysis capabilities, improving healthcare data insights.
Area of Science:
- Public Health
- Informatics
- Epidemiology
Background:
- Traditional methods for analyzing epidemiological data can be cumbersome.
- There is a need for more advanced analytical tools in Polish healthcare.
Purpose of the Study:
- To present the principles and features of data warehouses and OLAP reports.
- To illustrate their application in epidemiological analysis using death records.
- To discuss the necessity of implementing these technologies in Polish healthcare.
Main Methods:
- A data warehouse was constructed using Oracle tools.
- The repository was populated with death records from the Central Office of Statistics.
- Epidemiological analysis features such as pivoting, rotating dimensions, drilling on hierarchical data, and dimension reduction were demonstrated.
Main Results:
- Demonstrated the creation of specific epidemiological indicators.
- Illustrated the utility of data warehouse features for epidemiological analysis.
- Highlighted the enhanced perspectives offered by OLAP reports compared to traditional methods.
Conclusions:
- Data warehouses and OLAP reports provide powerful tools for epidemiological analysis.
- Implementation in Polish healthcare can significantly improve the analysis and presentation of epidemiological facts.
- OLAP reports offer new perspectives beyond traditional data analysis methods.