InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm
In summary, our study uncovered notable discrepancies between the InfoKids+ algorithmic triage and conventional nurse-based triage. Our results highlight the critical need for rigorous validation of such tools for accuracy and safety before public release to ensure these tools are beneficial and do not inadvertently cause harm or misallocation of resources.
Authors
- Claudia E. Kuehni (ORCID: https://orcid.org/0000-0001-8957-2002)
- Annick Galetto-Lacour (ORCID: https://orcid.org/0000-0002-7901-1647)
- Kristina Keitel (ORCID: https://orcid.org/0000-0002-9663-3843)
- Rainer Tan (ORCID: https://orcid.org/0000-0002-9273-9632)
- Carl Starvaggi (ORCID: https://orcid.org/0000-0002-9967-6857)
- Mary‐Anne Hartley (ORCID: https://orcid.org/0000-0002-8826-3870)
- Johan Nicolas Siebert (ORCID: https://orcid.org/0000-0002-2871-3382)
- Manon Jaboyedoff (ORCID: https://orcid.org/0000-0002-0063-1510)
- Noelie Lengeler
- Sophie Affentranger
Institutions
- University of Bern (CH)
- Swiss Tropical and Public Health Institute (CH)
- University of Lucerne (CH)
- University Hospital of Bern (CH)
- Intelligent Light (United States) (US)
- University Hospital of Geneva (CH)
- Institute of Social and Preventive Medicine (CH)
- Centre universitaire de médecine générale et santé publique, Lausanne (CH)
- Spital Uster (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Geneva College (US)
- University of Lausanne (CH)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.mcpdig.2025.100220
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Inselspital, Universitätsspital Bern