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Authors: Hugo Le Baher 1 ; 2 ; 3 ; Jérôme Azé 1 ; Sandra Bringay 4 ; 1 ; Pascal Poncelet 1 ; Arnaud Sallaberry 1 ; 4 and Caroline Dunoyer 3 ; 5

Affiliations: 1 LIRMM, UMR 5506, University of Montpellier, CNRS, Montpellier, France ; 2 5 DEGRÉS, Paris, France ; 3 Health Data Science Unit, Public Health Service, Centre Hospitalier Universitaire de Montpellier, Montpellier, France ; 4 AMIS, Paul-Valéry University of Montpellier, Montpellier, France ; 5 Desbrest Institute of Epidemiology and Public Health, UMR UA11, University of Montpellier — Inserm, Montpellier, France

Keyword(s): Visualisation Design and Techniques, Temporal Data, Multivariate Data, Healthcare.

Abstract: The widespread digitization of hospital information systems is paving the way for the integration of interactive visualization methods into decision support systems. This progress enhances the ability to anticipate critical risks in monitored patients and alleviates the workload of healthcare providers. However, Electronic Health Records (EHRs) encompass large, heterogeneous, and temporal records, making it a significant challenge to develop tools that enable effective understanding trajectories embedded in these complex data. We introduce GLIMPSE-Med, an interactive timeline-based visualization interface for temporal and heterogeneous events in the EHR, incorporating a score generated by a predictive model. The evaluation of this interface, conducted with healthcare professionals, confirmed that it meets two essential needs: (1) Assess the quality of data collected in an EHR ; (2) Estimate the patient’s condition over time.

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Paper citation in several formats:
Le Baher, H., Azé, J., Bringay, S., Poncelet, P., Sallaberry, A. and Dunoyer, C. (2025). GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 765-775. DOI: 10.5220/0013373300003912

@conference{ivapp25,
author={Hugo {Le Baher} and Jérôme Azé and Sandra Bringay and Pascal Poncelet and Arnaud Sallaberry and Caroline Dunoyer},
title={GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP},
year={2025},
pages={765-775},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013373300003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP
TI - GLIMPSE-Med: Single-Screen Visualization of Multivariate Time Series for a Single Individual
SN - 978-989-758-728-3
IS - 2184-4321
AU - Le Baher, H.
AU - Azé, J.
AU - Bringay, S.
AU - Poncelet, P.
AU - Sallaberry, A.
AU - Dunoyer, C.
PY - 2025
SP - 765
EP - 775
DO - 10.5220/0013373300003912
PB - SciTePress

- Science and Technology Publications, Lda.
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