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A retrieval system for the selection and statistical analysis of clinical data
W Gall1, P Sachs, G Duftschmid
1Department of Medical Computer Sciences, University of Vienna, General Hospital, Austria. walter.gall@akh-wien.ac.at
Medical Informatics and the Internet in Medicine
|February 2, 2000
Summary
Computer-aided clinical documentation generates large datasets requiring user-friendly tools. The ArchiMed system facilitates iterative data selection and analysis for clinical research, integrating routine and study data.
Area of Science:
- Medical Informatics
- Clinical Research Data Management
Background:
- Computer-aided clinical documentation yields vast research data.
- Processing clinical databases necessitates user-friendly retrieval tools.
- Routine data present complex structural and temporal synchronization challenges compared to clinical study data.
Purpose of the Study:
- To describe the ArchiMed medical retrieval system.
- To enable joint evaluation of clinical study and routinely collected data.
- To support iterative patient selection and data analysis in clinical research.
Main Methods:
- Development of the ArchiMed medical retrieval system at Vienna General Hospital.
- Implementation of patient selection functionalities.
- Integration of variable selection, joining, and statistical analysis capabilities.
Main Results:
- The ArchiMed system provides tools for iterative data selection and analysis.
- It supports the joint evaluation of clinical study and routine data.
- Key functions include patient and variable selection, data joining, and statistical analysis.
Conclusions:
- ArchiMed enhances clinical research by providing integrated data retrieval and analysis tools.
- The system addresses challenges in processing complex routine data.
- It facilitates a more efficient and comprehensive approach to clinical data evaluation.