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

The proposed open-source DES model effectively simulates patient flow across multiple hospital units, offering a powerful tool to administrators for optimizing hospital operations and resource allocation. The model handles complexity, is flexible, and considers interdependencies between units, enhancing decision-making capabilities. Our model is readily transferrable to other healthcare systems and is easily adaptable to a variety of scenarios.

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Publication Details

Journal
Pediatric Critical Care Medicine
Published
2026-01-06
DOI
https://doi.org/10.1097/pcc.0000000000003894
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Alireza Akhondi‐Asl, Peter C. Laussen, Michael L. McManus, Alon Geva et al.
Pediatric Critical Care Medicine
Healthcare Operations and Scheduling Optimization
article

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

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

Abstract

The proposed open-source DES model effectively simulates patient flow across multiple hospital units, offering a powerful tool to administrators for optimizing hospital operations and resource allocation. The model handles complexity, is flexible, and considers interdependencies between units, enhancing decision-making capabilities. Our model is readily transferrable to other healthcare systems and is easily adaptable to a variety of scenarios.

Pediatric Critical Care MedicineVol. 27(3)
Boston Children's Hospital (US), Harvard University (US)
Openalex Percentile: Top 97%
Healthcare Operations and Scheduling Optimization
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