Artificial Intelligence Length-of-Stay Forecasting and Pediatric Surgical Capacity
In this cohort study, use of a machine-learning, postoperative LOS model helped to reduce day-to-day variation in the number of elective surgical procedures performed, increase the total number of elective surgical procedures, and decrease underuse of hospital beds.
Authors
- Derek Mathieu
- Jay G. Berry (ORCID: https://orcid.org/0000-0003-3917-4465)
- Gabor Asztalos
- Lynne R. Ferrari (ORCID: https://orcid.org/0000-0002-7307-740X)
- Pan Hong
- Ben Y. Reis
- Steven J. Staffa
Institutions
- Boston Children's Hospital (US)
- Harvard University (US)
- Boston Children's Museum (US)
Publication Details
- Journal
- JAMA Pediatrics
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1001/jamapediatrics.2025.5385
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00