This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2993) Clinical Informatics (1223) Clinical Information and Decision Making (1762) Design and Usability of Clinical Software and EHRs (326) Decision Support for Health Professionals (1435) E-Health / Health Services Research and New Models of Care (649)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49497, first published .
Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design

Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design

Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design

Authors of this article:

Najia Yakob1 Author Orcid Image ;   Sandrine Laliberté2 Author Orcid Image ;   Philippe Doyon-Poulin2 Author Orcid Image ;   Philippe Jouvet3 Author Orcid Image ;   Rita Noumeir1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Lu E, Le T, Jouvet P, Noumeir R. Heart Rate and Body Temperature Relationship in Children Admitted to PICU: A Machine Learning Approach. IEEE Transactions on Biomedical Engineering 2025;72(8):2352 View

Conference Proceedings

  1. Arnold C, Jouvet P, Seoud L. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution View