A Quantitative Model for Staffing Problems in Inpatient Units with Multi-type Patients

Abstract

This paper addresses the staffing problem for inpatient units treating diverse patient types in a hospital. We develop a queueing model to determine the optimal staffing
levels within resource constraints. This quantitative approach offers a valuable analytical
tool for hospital managers, enabling them to make more informed and efficient staffing decisions for inpatient units. To ensure the robustness of the results from our analytical modelin real-world scenarios, we also employ a simulation model. Numerical examples are provided to illustrate the procedure and generate practical insights for healthcare practitioners.