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Exploring a hospital-wide database: integrating statistical functions with ClinQuery.
1Center for Clinical Computing, Beth Israel Hospital, Harvard Medical School, Boston, MA 02115.
Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
Summary
This study introduces ClinQuery, a user-friendly program enhancing clinical data analysis. It integrates graphics and statistics for easier exploration of hospital information systems in research.
Area of Science:
- Clinical Epidemiology
- Health Services Research
- Outcomes Research
Background:
- Routinely collected clinical data are essential for various research fields.
- Analyzing large clinical datasets requires integrated database management, graphic displays, and statistical software.
- Existing commercial software often fails to meet the diverse needs of large hospitals for clinical data research.
Purpose of the Study:
- To present an integrated solution for exploring, graphing, and analyzing clinical data.
- To introduce new exploratory modules for the ClinQuery program.
- To demonstrate the utility of enhanced graphics and statistical functions in clinical research.
Main Methods:
- Integration of new exploratory modules with the ClinQuery program.
- Development of user-friendly computer-based tools for online clinical data searching.
- Implementation of novel graphics and statistical functions.
Main Results:
- ClinQuery now offers enhanced capabilities for online clinical data searching.
- New graphical and statistical modules facilitate easier data exploration and analysis.
- Practical examples illustrate the application of these new features in research.
Conclusions:
- The enhanced ClinQuery program provides a valuable tool for researchers using hospital information systems.
- Integrated data exploration, graphing, and statistical analysis improve the efficiency of clinical research.
- This approach supports hypothesis testing and the advancement of clinical epidemiology and outcomes research.