Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019–2023
The deployment of pCART, a ML-based pediatric risk stratification tool, for clinical decision support for pediatric ward patients, was associated with lower odds of critical events among high-risk patients.
Authors
- Allison H. Bartlett (ORCID: https://orcid.org/0000-0002-4275-5642)
- Anoop Mayampurath (ORCID: https://orcid.org/0000-0002-3010-6960)
- Dana P. Edelson
- Mónica González (ORCID: https://orcid.org/0000-0003-1516-0181)
- Brett Palama (ORCID: https://orcid.org/0000-0003-1549-0180)
- Priti Jani
- Kyle A. Carey (ORCID: https://orcid.org/0000-0002-5038-6074)
- Matthew M. Churpek (ORCID: https://orcid.org/0000-0002-4030-5250)
- Joe Reid
Institutions
- University of Wisconsin–Madison (US)
- University of Chicago (US)
Publication Details
- Journal
- Pediatric Critical Care Medicine
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1097/pcc.0000000000003656
- Citations
- 5
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 11.27