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Designing a multi-service healthcare network based on the impact of patients’ flow among medical services
, Article OR Spectrum ; Volume 40, Issue 3 , 2018 , Pages 637-678 ; 01716468 (ISSN) ; Eshghi, K ; Sharif University of Technology
Springer Verlag
2018
Abstract
Efficient location of medical services is an issue of paramount importance in healthcare strategic planning. In this research, a mathematical model is developed for the location of multi-service health centers, assuming probabilistic demand and service time. Since patients may be shifted to another service after receiving a service by doctors’ order, health system is considered a Jackson queueing network. We assume that patients have “probabilistic choice behavior” and the primary factors contributing to their choice of one center over another are their proximity to the center and the number of medical services offered by the center. The proposed mixed integer nonlinear programming model...
Multi-service Healthcare Network Design Assuming Patients' Choice Behavior and Their Transfers Between Services
, M.Sc. Thesis Sharif University of Technology ; Eshghi, Koorosh (Supervisor)
Abstract
Efficient location of health centers is an essential decesion in healthcare strategic planning. Nowadays constructing multi-service health centers is highly paid attention because of multiple nature of most diseases. Concentrating patients' medical services in one center prevents them from traveling to different parts of cities, especially in mega cities. In this research we have developed a mathematical model for the location of multi-service health centers assuming probabilistic demand and service time. Medical services are divided in three groups: normal, emergency and preventive. Since patients may be referred to another service after recieving a service by doctors' order, health system...
Home Healthcare Planning in a Multi-Service Healthcare Network Considering Dynamic Demands and Synchronized Visits
, M.Sc. Thesis Sharif University of Technology ; Radman, Maryam (Supervisor)
Abstract
The global rise in the elderly population, coupled with shortages in medical equipment and healthcare professionals, along with the profound impact of epidemic outbreaks like COVID-19, has underscored the critical significance of home healthcare on a global scale. Currently in Iran, some hospitals and private companies provide home healthcare services to patients. This research focuses on optimizing the scheduling and routing of nurses providing home care services to patients. In the face of daily planning challenges, which include both anticipated and uncertain emergency demands, we propose a method to efficiently allocate nursing resources. To address the unpredictability of emergency...