[HTML][HTML] Reorganization of a medical service network to manage pandemic waves: a real case study

S Ahadian, MS Pishvaee, H Jahani - Operations Research for Health Care, 2023 - Elsevier
During Covid-19, medical service networks (MSNs) faced new challenges, such as an
impressive increase in hospital visits, a shortage of hospital beds and staff, and insufficient …

[HTML][HTML] A forecasting approach for hospital bed capacity planning using machine learning and deep learning with application to public hospitals

Y Mahmoudian, A Nemati, AS Safaei - Healthcare Analytics, 2023 - Elsevier
Abstract Hospital Bed Capacity (HBC) planning affects economic and social sustainability in
healthcare through bed capacity efficiency and medical treatment accessibility …

[HTML][HTML] A comprehensive and integrated hospital decision support system for efficient and effective healthcare services delivery using discrete event simulation

M Ordu, E Demir, C Tofallis, MM Gunal - Healthcare Analytics, 2023 - Elsevier
The difficulty that hospital management has been experiencing over the past decade in
balancing demand and capacity needs is unprecedented in the United Kingdom. Due to a …

[HTML][HTML] An interpretable clustering classification approach for assessing and adjusting hospital service lines

E Bahalkeh, TC Chiam, Y Yih - Healthcare Analytics, 2023 - Elsevier
Hospital beds are often assigned among several major groups called service lines, each
aimed to provide care for patients with similar medical needs such as cancer …

[HTML][HTML] A multi-stage optimization model for managing epidemic outbreaks and hospital bed planning in Intensive Care Units

IM Silveira, JF de Freitas Almeida, LR Pinto… - Healthcare …, 2024 - Elsevier
Abstract Intensive Care Unit (ICU) capacity can be significantly affected by disease
outbreaks, epidemics, and pandemics, impeding the operational efficiency of healthcare …

[HTML][HTML] An in-silico game theoretic approach for health intervention efficacy assessment

M Akter, M Alam, M Kamrujjaman - Healthcare Analytics, 2024 - Elsevier
The global rise of multi-strain epidemics has raised significant concerns in the field of public
health. To address this, our research introduces a game-theoretic approach to predict the …

Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using discrete event simulation

PE Wikman-Jorgensen, A Ruiz, V Giner-Galvañ… - Journal of Industrial …, 2024 - jiem.org
Purpose: This study aims to address the pressing need for accurate forecasting of
healthcare resource demands during the COVID-19 pandemic. It presents a novel approach …

Predicting hospital bed utilisation for post-surgical care by means of the Monte Carlo method with historical data

A Wong, R Eley, P Corry, B Hoad… - Australian Health …, 2024 - CSIRO Publishing
Objective: This study aim was to develop a predictive model of bed utilisation to support the
decision process of elective surgery planning and bed management to improve post …

Assessing Hospital Logistics Preparedness During the Outbreak of Covid-19: A Study of Thai Public Hospitals in Remote Areas

N Hasachoo, P Sirisawat, TS Rodbundith… - … of Multidisciplinary in …, 2024 - so03.tci-thaijo.org
The hospital logistics operation is not about transportation; it's an entire operation that
efficiently links two primary hospital operations, clinical and non-clinical services, aiming at …

[PDF][PDF] Healthcare Analytics

B Akter, MZ Ahmed, K Ahmed, FM Bui, MA Moni - academia.edu
Diabetic retinopathy (DR) involves retina damage due to diabetes, often leading to
blindness. It is diagnosed via color fundus injections, but the manual analysis is …