On Fair Routing from Emergency Departments to Hospital Wards: QED Queues with Heterogeneous Servers
نویسندگان
چکیده
The process of patients’ routing from an Emergency Department (ED) to Internal Wards (IWs) is often a hospital’s bottleneck. Motivated by this process in Anonymous Hospital, we analyze queueing systems with heterogeneous server pools, where the pools represent the wards and servers are beds. Our queueing system, with a single centralized queue and several server pools, forms an inverted-V model. We introduce the Randomized Most-Idle (RMI) routing policy and analyze it in the QED (Quality and Efficiency Driven) regime, which is natural in our setting. The RMI policy results in the same server fairness (measured by idleness ratios) as the Longest-Idle Server First (LISF) policy, which is commonly used in call centers and considered fair. However, RMI utilizes only the information on the number of idle servers in different pools while LISF requires information that is unavailable in hospitals on a real-time basis.
منابع مشابه
Queueing Systems with Heterogeneous Servers: On Fair Routing from Emergency Departments to Internal Wards
• Consider the process of patients' routing from an Emergency Department (ED) to Internal Wards (IW) in Anonymous Hospital. • Patients' allocation to the wards does not appear to be fair and waiting times for a transfer to the IW are long. • We model the " ED-to-IW process " as a queueing system with heterogeneous server pools. • We analyze this system under various routing policies, in search ...
متن کاملOn Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective. An Extended Version
Patient flow in hospitals can be naturally modeled as a queueing network, where patients are the customers, and medical staff, beds and equipment are the servers. But are there special features of such a network that sets it apart from prevalent models of queueing networks? To address this question, we use Exploratory Data Analysis (EDA) to study detailed patient flow data from a large Israeli ...
متن کاملPatient Flow in Hospitals : a Data - Based Queueing - Science Perspective
Patient flow in hospitals can be naturally modeled as a queueing network, where patients are the customers, and medical staff, beds and equipment are the servers. But are there special features of such a network that sets it apart from prevalent models of queueing networks? To address this question, we use Exploratory Data Analysis (EDA) to study detailed patient flow data from a large Israeli ...
متن کاملThe Erlang-R Queue: Time-Varying QED Queues with Reentrant Customers in Support of Healthcare Staffing
Extended Abstract for the MSOM 2010 Conference. Extended Abstract for the MSOM 2010 Conference. We develop and analyze a queueing model that we call Erlang-R, where the " R " stands for ReEntrant customers. The Erlang-R model accommodates customers that return to service several times during their sojourn within the system. It is most significant in time-varying environments. Indeed, it was mot...
متن کاملComparison of quality standards of public care in emergency, infectious and non-infectious wards of Imam Reza Hospital in Mashhad: Before and after the onset of the covid 19 crisis
Background: In late 2019, the world was faced with the epidemic of Cavid 19. Since maintaining the quality of care is one of the priorities of the health system, the aim of this study was to investigate the status of public care provided to patients before and after allocating wards to patients with covid 19. Methods: This cross-sectional descriptive study was performed in the emergency room...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Management Science
دوره 58 شماره
صفحات -
تاریخ انتشار 2012