Optimizing PICU Resource Management: A Data-Driven Discrete Event Simulation Approach for Capacity and Flow Modeling

Alireza Akhondi-Asl, Michael L. McManus, Peter C. Laussen, Alon Geva, Nilesh M. Mehta

Open source

DOI: 10.1097/pcc.0000000000003894
Published: 2026-01-06
Container: Pediatric Critical Care Medicine
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/pcc.0000000000003894,
  title = {Optimizing PICU Resource Management: A Data-Driven Discrete Event Simulation Approach for Capacity and Flow Modeling},
  author = {Alireza Akhondi-Asl and Michael L. McManus and Peter C. Laussen and Alon Geva and Nilesh M. Mehta},
  year = {2026},
  journal = {Pediatric Critical Care Medicine},
  doi = {10.1097/pcc.0000000000003894},
  url = {https://doi.org/10.1097/pcc.0000000000003894}
}

RIS

TY  - JOUR
TI  - Optimizing PICU Resource Management: A Data-Driven Discrete Event Simulation Approach for Capacity and Flow Modeling
AU  - Alireza Akhondi-Asl
AU  - Michael L. McManus
AU  - Peter C. Laussen
AU  - Alon Geva
AU  - Nilesh M. Mehta
PY  - 2026
JO  - Pediatric Critical Care Medicine
DO  - 10.1097/pcc.0000000000003894
UR  - https://doi.org/10.1097/pcc.0000000000003894
ER  -

APA

Akhondi-Asl, A., McManus, M. L., Laussen, P. C., Geva, A., & Mehta, N. M. (2026). Optimizing PICU Resource Management: A Data-Driven Discrete Event Simulation Approach for Capacity and Flow Modeling. Pediatric Critical Care Medicine. https://doi.org/10.1097/pcc.0000000000003894

Source records

crossref · retrieved 2026-09-26T21:25:36.331Z