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Patient Postoperative Care Data Visualization

by Olga Pilipczuk, Dmitri Eidenzon, Olena Kosenko
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 7
Year of Publication: 2016
Authors: Olga Pilipczuk, Dmitri Eidenzon, Olena Kosenko
10.5120/ijca2016912469

Olga Pilipczuk, Dmitri Eidenzon, Olena Kosenko . Patient Postoperative Care Data Visualization. International Journal of Computer Applications. 156, 7 ( Dec 2016), 27-33. DOI=10.5120/ijca2016912469

@article{ 10.5120/ijca2016912469,
author = { Olga Pilipczuk, Dmitri Eidenzon, Olena Kosenko },
title = { Patient Postoperative Care Data Visualization },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 7 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number7/26722-2016912469/ },
doi = { 10.5120/ijca2016912469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:01:58.239437+05:30
%A Olga Pilipczuk
%A Dmitri Eidenzon
%A Olena Kosenko
%T Patient Postoperative Care Data Visualization
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 7
%P 27-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the problem of hospital patient care data visualization. Although a significant amount of different kinds of tools have been created to improve health care still there is luck of tools supports patient care decision making. We briefly describe the method for visualization and analysis of multidimensional data implemented in the NovoSpark® Visualizer software (NV). An example of problem salvation based on data of patient state observation after the laparoscopic gallbladder removal is provided as well. The experiment results indicate that it is possible to visualize all the data from nurse report in single image, to identify the anomalies, trends and regularities in it using multidimensional visualization. The decision time, error rate and amount of invested mental effort were analyzed. The conducted experiments demonstrate the significant difference between decision time and mental effort amounts for paper report analysis and visualizations analysis in favor of the visualizations.

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Index Terms

Computer Science
Information Sciences

Keywords

Multidimensional visualization patient care medical report medical data visualizations

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