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Cited by 55Data Visualization and AnalyticsElectronic Health Records SystemsHealthcare Technology and Patient Monitoring

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer

Bernard, Jurgen, Sessler, David, Kohlhammer, Jorn, Ruddle, Roy A.·2019·IEEE Transactions on Visualization and Computer Graphics
DOI 10.1109/tvcg.2018.2803829
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Abstract

In this design study, we present a visualization technique that segments patients' histories instead of treating them as raw event sequences, aggregates the segments using criteria such as the whole history or treatment combinations, and then visualizes the aggregated segments as static dashboards that are arranged in a dashboard network to show longitudinal changes. The static dashboards were developed in nine iterations, to show 15 important attributes from the patients' histories. The final design was evaluated with five non-experts, five visualization experts and four medical experts, who successfully used it to gain an overview of a 2,000 patient dataset, and to make observations about longitudinal changes and differences between two cohorts. The research represents a step-change in the detail of large-scale data that may be successfully visualized using dashboards, and provides guidance about how the approach may be generalized.

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Cited by

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Metadata

Authors
Bernard, J., Sessler, D., Kohlhammer, J., & Ruddle, R. A.
Affiliations
  • TU Darmstadt, Darmstadt, Germany
  • Technische Universität Darmstadt (DE)
  • University of Leeds (GB)
ORCID
Venue
IEEE Transactions on Visualization and Computer Graphics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019-03-01
Volume
25
Issue
3
Pages
1615-1628
ISSN
  • 1077-2626 (ISSN-L)
  • 1941-0506
  • 2160-9306
DOI
10.1109/tvcg.2018.2803829
OpenAlex
W2793249730
Cited by
55
References
1
Citations by year
2026: 1 · 2025: 3 · 2024: 7 · 2023: 14 · 2022: 9 · 2021: 10 · 2020: 9 · 2019: 2
FWCI
2.63
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
  • TUbilio (Technical University of Darmstadt) (submittedVersion)
Funders
American Friends of the Alexander von Humboldt Foundation
Topics
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
Keywords
prostate cancer, postoperative care, combination therapy, health data visualization
MeSH terms
Computer Graphics, Humans, Male, Medical Informatics, Prostatic Neoplasms, User-Computer Interface, Electronic Health Records

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CoChat. (2026). Citation check: Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer. https://app.cochat.ai/papers/10.1109/tvcg.2018.2803829
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Bernard, J., Sessler, D., Kohlhammer, J., & Ruddle, R. A. (2019). Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2018.2803829

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.