PED-IA, a CDSS to support decision in pediatrics telephone triage: a crossover evaluation
The PED-IA CDSS significantly enhances triage decision accuracy and user confidence, making it a promising system for clinical practice and medical education. Practitioners viewed the system positively and identified its long-term time-saving potential. Future works should focus on refining system ergonomics and exploring hybrid models that combine data-driven and logic-based approaches to improve usability and adaptability.
Authors
- Rosy Tsopra (ORCID: https://orcid.org/0000-0002-9406-5547)
- Anita Burgun (ORCID: https://orcid.org/0000-0001-6855-4366)
- A Manns (ORCID: https://orcid.org/0009-0007-9298-6135)
- Benoît Vivien (ORCID: https://orcid.org/0000-0002-1175-5842)
- Alix Millet
- Florence Campeotto (ORCID: https://orcid.org/0000-0001-8566-3345)
- Laurent Dupic
- Jean-Philippe Jaı̈s (ORCID: https://orcid.org/0000-0002-0708-8776)
- Fleur Mougin (ORCID: https://orcid.org/0000-0002-7436-3010)
Institutions
- Délégation Paris 5 (FR)
- Hôpital Necker-Enfants Malades (FR)
- Université de Bordeaux (FR)
- Inserm (FR)
- Université Paris Cité (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital Européen Georges-Pompidou (FR)
- Bordeaux Population Health (FR)
- Hôpital Robert-Debré (FR)
- Institut des Maladies Génétiques Imagine (FR)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110645
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- California Department of Social Services