Visual explanations: images and quantities, evidence and narrative
Visual explanations: images and quantities, evidence and narrative
Connecting time-oriented data and information to a coherent interactive visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Guest editorial: human-centered computing in health information systems. Part 1: Analysis and design
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
A user-centered framework for redesigning health care interfaces
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
IV '06 Proceedings of the conference on Information Visualization
To err is not entirely human: complex technology and user cognition
Journal of Biomedical Informatics - Special section: JAMA commentaries
Journal of Biomedical Informatics
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
Visual Analysis of Compliance with Clinical Guidelines
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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The purpose of this research is to provide medical clinicians with a new technology for interpreting large and diverse datasets to expedite critical care decision-making in the ICU. We refer to this technology as the medical information visualization assistant (MIVA). MIVA delivers multivariate biometric (bedside) data via a visualization display by transforming and organizing it into temporal resolutions that can provide contextual knowledge to clinicians. The result is a spatial organization of multiple datasets that allows rapid analysis and interpretation of trends. Findings from the usability study of the MIVA static prototype and heuristic inspection of the dynamic prototype suggest that using MIVA can yield faster and more accurate results. Furthermore, comments from the majority of the experimental group and the heuristic inspectors indicate that MIVA can facilitate clinical task flow in context-dependent health care settings.