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Stochastic Modeling in Emergency Departments by Safiye Sencer is a document available to read on EtoBox.

This paper presents a dynamic stochastic model for the emergency department (ED) to address unexpected patient arrivals and service capabilities. It utilizes a Markov chain model to analyze queue lengths and waiting times, aiming to reduce service delays and improve resource planning. The study includes simulations to validate the model and discusses its implications for healthcare providers.

Author
Safiye Sencer
Language
EN