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, Christopher Haynes, Kate Tantam, Roger Gardner, Marco A Palomino

Computing Science

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

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.

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10.1177/14738716231158046Licence: 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.",

author = "Liz Stuart and Christopher Haynes and Kate Tantam and Roger Gardner and Palomino, {Marco A}",

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.",

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Visualizing the recovery of patients in Critical Care Units

Abstract

Bibliographical note

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