Visualizing the recovery of patients in Critical Care Units

Liz Stuart; Christopher Haynes; Kate Tantam; Roger Gardner; Marco A Palomino

doi:10.1177/14738716231158046

Visualizing the recovery of patients in Critical Care Units

Liz Stuart^* (Corresponding Author), Christopher Haynes, Kate Tantam, Roger Gardner, Marco A Palomino

^*Corresponding author for this work

Computing Science

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

2 Downloads (Pure)

Abstract

This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes incomplete due to the pressures on staff in the environment. Thus, it can be difficult to use conventional means to visualize it meaningfully. The paper presents the software tool called CCViews. It was developed to support visualization of CCU data. It enables clinicians to view the trajectory of patient recovery and track the effectiveness of different interventions such as physiotherapy. Note that this work is underpinned by the world-famous information seeking mantra, which emphasizes the need to provide users with views of their data at differing levels of granularity.

Original language	English
Pages (from-to)	209-222
Number of pages	14
Journal	Information Visualization
Volume	22
Issue number	3
Early online date	21 Mar 2023
DOIs	https://doi.org/10.1177/14738716231158046
Publication status	Published - Jul 2023

Bibliographical note

The authors would like to take this opportunity to sincerely thank the Patient for providing us with access to her data. The aim is to provide software support for the clinicians in critical care units. Testing software on artificial data is limited. Therefore, having access to real patient data has enabled this project to bridge the chasm between theory and practice. Thank you very much! This work was carried out as a collaboration between the University of Plymouth and University Hospitals Plymouth NHS Trust, Plymouth. The authors are grateful to both organizations for their support to carry out this research.

Keywords

case study
patient recovery
data visualiziation
software development
iconography

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10.1177/14738716231158046Licence: CC BY

Stuart_etal_IV_Visualizing_The_Recovery_VoR
This article is distributed under the terms of the Creative Commons Attribution 4.0 Lficense (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Final published version, 3.41 MBLicence: CC BY

Cite this

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title = "Visualizing the recovery of patients in Critical Care Units",

abstract = "This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes incomplete due to the pressures on staff in the environment. Thus, it can be difficult to use conventional means to visualize it meaningfully. The paper presents the software tool called CCViews. It was developed to support visualization of CCU data. It enables clinicians to view the trajectory of patient recovery and track the effectiveness of different interventions such as physiotherapy. Note that this work is underpinned by the world-famous information seeking mantra, which emphasizes the need to provide users with views of their data at differing levels of granularity.",

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AU - Gardner, Roger

AU - Palomino, Marco A

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AB - This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes incomplete due to the pressures on staff in the environment. Thus, it can be difficult to use conventional means to visualize it meaningfully. The paper presents the software tool called CCViews. It was developed to support visualization of CCU data. It enables clinicians to view the trajectory of patient recovery and track the effectiveness of different interventions such as physiotherapy. Note that this work is underpinned by the world-famous information seeking mantra, which emphasizes the need to provide users with views of their data at differing levels of granularity.

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KW - data visualiziation

KW - software development

KW - iconography

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Visualizing the recovery of patients in Critical Care Units

Abstract

Bibliographical note

Keywords

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