TY - JOUR
T1 - Data visualization techniques to showcase nursing care quality
AU - Monsen, Karen A.
AU - Peterson, Jessica J.
AU - Mathiason, Michelle A.
AU - Ms, Kim
AU - Lee, Seonah
AU - Chi, Chin Lin
AU - Pieczkiewicz, David S.
AU - Cummins, Mollie R.
N1 - Publisher Copyright:
Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2015
Y1 - 2015
N2 - Data visualization is creating images that can help explain, explore, and report multivariate, multidimensional data.1, 2 Simple shapes and colors, alone or in combination, have been used by nurses to convey powerful healthcare quality information beginning with the famous Scutari pie charts of Florence Nightingale.3, 4 Today, nurses leverage computer science, statistics, and clinical expertise for visualization development and interpretation and human visual perception to identify salient (obvious) distributions, patterns, or relationships in the data.1, 2 The purpose of this article is to showcase data visualization techniques that have been used with nursing data sets to explore nursing care quality.
AB - Data visualization is creating images that can help explain, explore, and report multivariate, multidimensional data.1, 2 Simple shapes and colors, alone or in combination, have been used by nurses to convey powerful healthcare quality information beginning with the famous Scutari pie charts of Florence Nightingale.3, 4 Today, nurses leverage computer science, statistics, and clinical expertise for visualization development and interpretation and human visual perception to identify salient (obvious) distributions, patterns, or relationships in the data.1, 2 The purpose of this article is to showcase data visualization techniques that have been used with nursing data sets to explore nursing care quality.
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U2 - 10.1097/CIN.0000000000000190
DO - 10.1097/CIN.0000000000000190
M3 - Article
C2 - 26468967
AN - SCOPUS:84945178045
SN - 1538-2931
VL - 33
SP - 417
EP - 426
JO - CIN - Computers Informatics Nursing
JF - CIN - Computers Informatics Nursing
IS - 10
ER -