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A Web-Based system for interactive visualization and exploration of time-oriented clinical data and their
Yuval Shahar1, David Boaz, Gil Tahan
1Department of Information Systems Engineering, Ben Gurion University, Beer Sheva, Israel.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
Summary
This demonstration showcases KNAVE-II, a system for exploring large clinical datasets. It addresses the challenge of data overload by providing interactive visualization of time-oriented patient information.
Area of Science:
- Clinical Informatics
- Data Visualization
- Health Data Management
Background:
- Healthcare generates vast amounts of time-oriented clinical data from diverse sources.
- Managing and interpreting this data deluge presents a significant challenge for clinicians and researchers.
- Existing systems often struggle to provide efficient access and meaningful insights.
Purpose of the Study:
- To demonstrate KNAVE-II, a novel Web-based distributed system.
- To showcase its capabilities in interactive visualization and exploration of complex clinical data.
- To present a solution for the problem of clinical data overload.
Main Methods:
- Development of KNAVE-II, a Web-based distributed system.
- Implementation of interactive visualization techniques for time-oriented data.
- Integration of data from multiple clinical sources.
- Derivation and exploration of clinically meaningful concepts (abstractions).
Main Results:
- KNAVE-II enables interactive exploration of large, multi-source, time-oriented clinical data.
- The system facilitates the identification and understanding of clinically relevant information.
- The underlying architecture provides a robust solution to data overload.
Conclusions:
- KNAVE-II offers a powerful tool for navigating complex clinical data environments.
- The system effectively addresses the challenge of data overload in healthcare.
- Interactive visualization and abstraction are key to unlocking insights from clinical data.