Crowdq: Predicting the queue state of hospital emergency department using crowdsensing mobility data-driven models

T Shou, Z Ye, Y Hong, Z Wang, H Zhu, Z Jiang… - Proceedings of the …, 2023 - dl.acm.org
Hospital Emergency Departments (EDs) are essential for providing emergency medical
services, yet often overwhelmed due to increasing healthcare demand. Current methods for …

10th Anniversary post-simulation workshop 2021 special issue

AA Tako, A Anagnostou, M Fakhimi - Journal of Simulation, 2023 - Taylor & Francis
This JOS special issue showcases a selection of specially curated papers from the pool of
proceedings papers presented at the biennial UK OR Society 2021 Simulation Workshop …

The impact of atypical intrahospital transfers on patient outcomes: a mixed methods study

E Mendelsohn, K Honeyford, A Brittin, L Mercuri… - Scientific Reports, 2023 - nature.com
The architectural design of hospitals worldwide is centred around individual departments,
which require the movement of patients between wards. However, patients do not always …

[PDF][PDF] Automobile workshop queue system optimization using response surface

W Sugianto, RHA Haq, MN bin Abdol Rahman - International Journal of …, 2024 - sid.ir
The automobile workshop queue system has been optimized using various approaches,
such as queuing theory, simulation, and probability. The utilization of response surface …

Time Series Modeling and Forecasting of the Patients' Inflow and Admission in the Hospitals: A cases study of LUMHS Hospital Jamshoro Pakistan

S Kamboh, MGH Talpur, NK Chand, LA Zardari… - VFAST Transactions on …, 2024 - vfast.org
The patients' crowding in the hospitals is an international phenomenon that demands much
attention to avoid harm to the lives of patients. The quantitative based models have been …

The importance of discrete event simulation as a methodology for performance evaluation in the emergency department

Y Angler, A Lossin, O Goetz - Emergency Care Journal, 2024 - pagepressjournals.org
Emergency Departments (ED) face the challenge of providing high-quality patient care
under difficult conditions due to staff shortages or overcrowding. These challenges mean …