Usability Engineering
Connecting time-oriented data and information to a coherent interactive visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualization of patient data at different temporal granularities on mobile devices
Proceedings of the working conference on Advanced visual interfaces
IV '06 Proceedings of the conference on Information Visualization
Artificial Intelligence in Medicine
Temporal abstraction in intelligent clinical data analysis: A survey
Artificial Intelligence in Medicine
Visual Analytics: Scope and Challenges
Visual Data Mining
Introduction to Information Visualization
Introduction to Information Visualization
Using model checking for critiquing based on clinical guidelines
Artificial Intelligence in Medicine
CareVis: Integrated visualization of computerized protocols and temporal patient data
Artificial Intelligence in Medicine
CareCruiser: Exploring and visualizing plans, events, and effects interactively
PACIFICVIS '11 Proceedings of the 2011 IEEE Pacific Visualization Symposium
Advancing critical care in the ICU: a human-centered biomedical data visualization systems
EHAWC'11 Proceedings of the 2011th international conference on Ergonomics and health aspects of work with computers
Visual exploration of time-oriented patient data for chronic diseases: design study and evaluation
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
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
Event-based concepts for user-driven visualization
Information Visualization
Hi-index | 0.00 |
Clinical guidelines provide recommendations in the form of applicable actions in a specific clinical context. Computer Interpretable Guidelines (CIG) aim to achieve guideline integration into clinical practice to increase health care quality. Analyzing the compliance with a CIG can facilitate the implementation and assist in the design of CIGs, but to help medical experts in the detection of patterns in the wealth of the data is a challenging task. We suggest an approach based on visual analytics, intertwining interactive visualization and automated data analysis i.e. analysis of compliance with a CIG. Our solution covers highlighting and abstraction for time-oriented patient parameters, and aggregation of repeatedly missing actions into intervals; in addition valid, invalid, and missing actions are represented visually. Furthermore, we discuss a case study showing how the applied techniques can assist in the detection of interesting patterns.