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Intelligent interactive visual exploration of temporal associations among multiple time-oriented patient records
Denis Klimov1, Yuval Shahar, Meirav Taieb-Maimon
1Medical Informatics Research Center, Ben Gurion University of the Negev, Beer-Sheva, Israel. klimov@bgu.ac.il
Methods of Information in Medicine
|April 24, 2009
Summary
Temporal Association Charts (TACs) are a functional and usable tool for exploring longitudinal patient data. This visualization technique enables users to accurately identify time and value associations across multiple patient records.
Area of Science:
- Medical Informatics
- Data Visualization
- Clinical Data Analysis
Background:
- Longitudinal patient data presents complex challenges for analysis.
- Interactive exploration tools are needed to uncover time and value associations within this data.
Purpose of the Study:
- To design, implement, and evaluate a methodology and tool for exploring time and value associations in longitudinal patient data.
- To assess the functionality and usability of Temporal Association Charts (TACs) within the VISITORS system.
Main Methods:
- Developed Temporal Association Charts (TACs), a user-driven, interactive visualization technique.
- Implemented TACs within the VISITORS system for intelligent visualization of longitudinal data.
- Evaluated TACs functionality and usability with clinicians and medical informaticians.
Main Results:
- Users answered questions accurately (95.3%) and in short times (mean 2.5 mins) using the VISITORS system.
- TACs demonstrated similar accuracy to general exploration operators, with slightly longer response times.
- Performance was uniform across user groups and clinical question types when using TACs.
Conclusions:
- Temporal Association Charts (TACs) are functional and usable for exploring longitudinal patient data.
- TACs provide a consistent performance level for identifying associations, irrespective of user expertise or question complexity.
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