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Visualization of multivariate time-series data in a neonatal ICU

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7 Author(s)
P. Ordonez ; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, USA ; T. Oates ; M. E. Lombardi ; G. Hernandez
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Existing visualizations in the neonatal intensive care unit (NICU) frequently obscure important trends in clinical data presented to the clinician in tabular displays or stacked univariate plots of variables as a function of time. Scales and alarm limits in clinical displays are based on data that is typical for adults (i.e., adult “norm data”), resulting in confusing or misleading displays in the NICU. In premature infants, norm data differs significantly both from adult values and among infants of differing gestational ages. Interfaces designed to display adult values hinder the perception of clinical changes. We developed a visualization that provides an integrated, multivariate interface for representing laboratory and physiological data in the NICU. We present its design and evaluation and discuss potential future applications of this visualization that is interactive, animated, and personalized to an individual patient so that clinicians can quickly and efficiently recognize significant changes in the patient's condition.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:56 ,  Issue: 5 )