A review and taxonomy of distortion-oriented presentation techniques
ACM Transactions on Computer-Human Interaction (TOCHI)
Navigating hierarchically clustered networks through fisheye and full-zoom methods
ACM Transactions on Computer-Human Interaction (TOCHI)
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Visualizing queries on databases of temporal histories: new metaphors and their evaluation
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
The VLDB Journal — The International Journal on Very Large Data Bases
On Encouraging Multiple Views for Visualisation
IV '98 Proceedings of the International Conference on Information Visualisation
Connecting time-oriented data and information to a coherent interactive visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supporting Protocol-Based Care in Medicine via Multiple Coordinated Views
CMV '04 Proceedings of the Second International Conference on Coordinated & Multiple Views in Exploratory Visualization
PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and Their Evaluation
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Plan management in the medical domain
AI Communications
Artificial Intelligence in Medicine
The visual display of temporal information
Artificial Intelligence in Medicine
Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans
Artificial Intelligence in Medicine
Guest editorial: Knowledge-based data analysis and interpretation
Artificial Intelligence in Medicine
Proceedings of the 2010 ACM Symposium on Applied Computing
A developing framework for interactive temporal data visualization
Proceedings of the 3rd International Symposium on Visual Information Communication
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
LifeFlow: visualizing an overview of event sequences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Querying event sequences by exact match or similarity search: Design and empirical evaluation
Interacting with Computers
Design and evaluation of an interactive visualization of therapy plans and patient data
BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
Visual Analysis of Compliance with Clinical Guidelines
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Supporting medical discussions through an argumentation-based tool
Proceedings of the Biannual Conference of the Italian Chapter of SIGCHI
Methodological Review: Computer-interpretable clinical guidelines: A methodological review
Journal of Biomedical Informatics
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Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatment steps is an important source to find reasons and explanations for certain phenomena in the measured patient data, but is mostly spared out in the analysis process. This work aims to fill this gap via integrating classical data visualization and visualization of treatment information. Methods and material: We considered temporal as well as logical data aspects and applied a user-centered development approach that was guided by user input gathered via a user study, design reviews, and prototype evaluations. Furthermore, we investigated the novel PlanningLine glyph, that is used to represent plans in the temporal domain, via a comparative empirical user study. Results: Our interactive visualization approach CareVis provides multiple simultaneous views to cover different aspects of the complex underlying data structure of treatment plans and patient data. The tightly coupled views use visualization methods well-known to domain experts and are designed to facilitate users' tasks. The views are based on the concepts of clinical algorithm maps and LifeLines which have been extended in order to cope with the powerful and expressive plan representation language Asbru. Initial feedback of physicians was encouraging and is accompanied by empirical evidence which verifies that PlanningLines are well suited to manage temporal uncertainty. Conclusion: The interactive integration of different visualization methods forms a novel way of combining, relating, and analyzing different kinds of medical data and information that otherwise would be separated.