What question did this study set out to answer?

This research aims to enhance healthcare delivery by optimizing queuing systems for emergency services and minimizing wait times for high-priority patients.

June 20, 2026Sakarya University Journal of Computer and Information SciencesOpen Access

Optimization of Emergency Healthcare System with Priority Based Queuing Model and Dynamic Programming

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This research aims to enhance healthcare delivery by optimizing queuing systems for emergency services and minimizing wait times for high-priority patients.
Introduced a multi-class, multi-server queuing system with dynamic priority rates.
Evaluated system performance metrics including queue length and fairness index.
Employed dynamic programming for optimizing resource allocation based on urgency and waiting time.
Demonstrated substantial reductions in delays for high-priority patients during peak demand.
Achieved improved fairness across patient groups as indicated by the fairness index.
Simulations validated the model’s reliability and effectiveness in varying demand scenarios.

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Implication

Randomized trial evaluates an optimized queuing model in emergency healthcare, suggesting improvements in resource management.

Cite This Study

Mohammed et al. (2026) studied this question.

synapsesocial.com/papers/6a36309edb0793dc1a537aec https://doi.org/10.35377/saucis...1727731

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Optimization of Emergency Healthcare System with Priority Based Queuing Model and Dynamic Programming

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Discussion

Implication

Cite This Study

Optimization of Emergency Healthcare System with Priority Based Queuing Model and Dynamic Programming

Key Points

Discussion

Implication

Cite This Study

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