QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement

Elshehaly, M, Randell, R, Brehmer, M et al. (4 more authors) (2021) QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. IEEE Transactions on Visualization and Computer Graphics, 27 (2). pp. 689-699. ISSN 1077-2626

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Information visualisation, task analysis, co-design, dashboards, design study, healthcare
Dates:
  • Published: February 2021
  • Accepted: 15 August 2020
  • Published (online): 13 October 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) > Nursing Adult (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
FunderGrant number
NIHR National Inst Health Research16/04/06
Depositing User: Symplectic Publications
Date Deposited: 08 Sep 2020 11:39
Last Modified: 04 Mar 2021 20:42
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TVCG.2020.3030424

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