Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study

M Ortiz-Barrios, S Arias-Fonseca, A Ishizaka… - Journal of business …, 2023 - Elsevier
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …

Map** the landscape in HEIs: a systematic review of factors influencing EdTech adoption

H Ravi, V Radhakrishna - Higher Education Evaluation and …, 2024 - emerald.com
Purpose The primary objective of this study was to aggregate and synthesize existing
research findings in the realm of educational financing considering the adoption of …

[PDF][PDF] A systematic review of artificial intelligence-based methods in healthcare

AL Apio, J Kissi, EK Achampong - Int. J. Public Health, 2023 - academia.edu
Artificial intelligence (AI) in healthcare has enormous potential for transforming healthcare.
AI is the ability of machines to learn and exhibit close to human levels of cognition in various …

Hospital crowdedness evaluation and in-hospital resource allocation based on image recognition technology

L Deng, F Cheng, X Gao, W Yu, J Shi, L Zhou… - Scientific Reports, 2023 - nature.com
How to allocate the existing medical resources reasonably, alleviate hospital congestion
and improve the patient experience are problems faced by all hospitals. At present, the …

DLSDHMS: Design of a deep learning-based analysis model for secure and distributed hospital management using context-aware sidechains

VS Reddy, K Debasis - Heliyon, 2023 - cell.com
Designing an efficient hospital management solution requires the integration of multidomain
operations that include secure storage, alert system modelling, infrastructure management …

[PDF][PDF] An LSTM neural network approach to resource allocation in hospital management systems

AK Saxena, RR Dixit, A Aman-Ullah - International Journal of Applied …, 2022 - moodle.net
Abstract Hospital Management Systems (HMS) are essential for the coordination of clinical,
operational, and administrative operations in healthcare settings. Central to these systems is …

The impact of the variability of patient flow and service time on the efficiency of large-scale outpatient systems

C Zou, J Wang, Y Cheng - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
The outpatient services in large-scale hospitals consist of multiple specialty departments,
servers, and multiple stages. Single-server and small clinics have been extensively studied …

Critical Department Analysis for Large-Scale Outpatient Systems

C Zou, J Wang, Y Cheng - IEEE Transactions on Computational …, 2022 - ieeexplore.ieee.org
Identifying critical department (s) to enhance the supply in large-scale systems is beneficial
to support the system efficiency. Large-scale outpatient systems (LSOSs) are usually faced …

Diagnosing patient flow issues in the emergency department: an Australasian hospital case study

T Boehme, B Rylands, JP Fan, S Williams… - Journal of Health …, 2024 - emerald.com
Purpose This study investigates how a hospital can increase the flow of patients through its
emergency department by using benchmarking and process improvement techniques …

Discrete event simulation-driven method solving permutation flowshop scheduling problem in digital twins

G Li, L Zhang, X Zhao - IEEE Access, 2025 - ieeexplore.ieee.org
Digital twin technology is becoming increasingly vital in intelligent production and Industry
4.0. Nevertheless, the simulation system of the digital twin frequently serves merely as a …