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Improving service efficiency and throughput of cardiac surgery patients using Monte Carlo simulation: a queueing
Tayeb Mohammadi1, Ghodratollah Roshanaei2, Javad Faradmal1,2
1Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Scientific Reports
|December 9, 2022
Summary
Simulation modeling can optimize hospital resource use. This study used Monte Carlo simulation to improve patient throughput and bed occupancy rate in a cardiac surgery department, demonstrating potential for significant patient care improvements.
Area of Science:
- Healthcare Management
- Operations Research
- Medical Simulation
Background:
- Bed occupancy rate (BOR) is a critical metric for healthcare policymakers.
- Complex healthcare systems necessitate simulation approaches for optimal resource planning and service quality improvement.
Purpose of the Study:
- To estimate average length of stay (LOS), BOR, bed blocking probability (BBP), and patient throughput in a cardiac surgery department (CSD) using simulation models.
- To evaluate the CSD as a queueing system and analyze the impact of varying ICU and post-operative ward (POW) bed numbers.
Main Methods:
- A queueing model was developed, treating patients as customers and ICU/POW beds as servers.
- Monte Carlo simulation using Python software was employed to model the CSD's behavior under different bed configurations.
- Key performance indicators including LOS, BOR, BBP, and throughput were estimated.
Main Results:
- Increasing POW beds decreased POW BOR and increased ICU LOS for a fixed number of ICU beds.
- Simulation projected a potential increase in patient throughput from 1999 to 2839 patients over 800 days.
- The study identified specific relationships between bed allocation and system performance.
Conclusions:
- Simulation modeling effectively demonstrated CSD operational dynamics.
- Hospital administrators should implement strategic plans to enhance BOR and patient throughput.
- Optimizing bed allocation through simulation can significantly improve CSD efficiency and patient capacity.
