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
Patient development at a glance: an evaluation of a medical data visualization
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Visual Analysis of Compliance with Clinical Guidelines
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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One mission of medical informatics is to provide physicians, nurses, and other health care providers with the technology and tools for interpreting large and diverse data sets, so that appropriate critical care decisions can be facilitated. Ideally, medical data visualization provides the means to transform data into information and contextual knowledge suitable for interpretation and decision-making [31, 9]. The authors propose a model through which data is organized into multivariate multidimensional critical care patient data visualizations (CPDV). It does this as the primary means to represent and manage complex contextbased patient data at various user-defined temporal resolutions. Furthermore, user-defined spatial organization of multiple (clinically related) datasets allows rapid visualization of significant trends that are related to several co-variables. Currently, anticipated findings from usability testing support the notion that the proposed model will facilitate medical decision making in a critical care environment.