Operational Research: methods and applications
Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …
models and algorithms that have been applied to a wide range of contexts. This …
Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways
The Covid-19 pandemic has pushed many hospitals to their capacity limits. Therefore, a
triage of patients has been discussed controversially primarily through an ethical …
triage of patients has been discussed controversially primarily through an ethical …
[HTML][HTML] A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis
COVID-19 pandemic has sent millions of people to hospitals worldwide, exhausting on
many occasions the capacity of healthcare systems to provide care patients required to …
many occasions the capacity of healthcare systems to provide care patients required to …
[HTML][HTML] Optimal triage for COVID-19 patients under limited health care resources with a parsimonious machine learning prediction model and threshold optimization …
Background The COVID-19 pandemic has placed an unprecedented burden on health care
systems. Objective We aimed to effectively triage COVID-19 patients within situations of …
systems. Objective We aimed to effectively triage COVID-19 patients within situations of …
Challenges at the front: experiences of professionals in admitting patients to the intensive care unit during the covid-19 pandemic
JFS Pereira, RHSBF Carvalho, JRO Pinho… - Texto & Contexto …, 2022 - SciELO Brasil
Objective: to know the perspectives, practices and challenges in decision-making for
admitting patients into the Intensive Care Unit during the Covid-19 pandemic. Methods: a …
admitting patients into the Intensive Care Unit during the Covid-19 pandemic. Methods: a …
On the reproducibility of discrete-event simulation studies in health research: an empirical study using open models
Reproducibility of computational research is critical for ensuring transparency, reliability and
reusability. Challenges with computational reproducibility have been documented in several …
reusability. Challenges with computational reproducibility have been documented in several …
Quantifying utilitarian outcomes to inform triage ethics: simulated performance of a ventilator triage protocol under Sars-CoV-2 pandemic surge conditions
E Chuang, J Grand-Clement, JT Chen… - AJOB Empirical …, 2022 - Taylor & Francis
Background Equitable protocols to triage life-saving resources must be specified prior to
shortages in order to promote transparency, trust and consistency. How well proposed …
shortages in order to promote transparency, trust and consistency. How well proposed …
Improving COVID-19 vaccination centre operation through computer modelling and simulation
Mass vaccination has provided a route out of the COVID-19 pandemic in a way that social
restrictions can be safely eased. For many countries, dedicated vaccination centres have …
restrictions can be safely eased. For many countries, dedicated vaccination centres have …
Simulation input modelling in the absence of historical data for decision support during crises: Experience with assessing demand uncertainties for simulating walk …
C Werner - Journal of the Operational Research Society, 2023 - Taylor & Francis
During the early waves of COVID-19, a frequent modelling challenge for OR practitioners
was the lack of relevant historical data on important model inputs, such as uncertainty …
was the lack of relevant historical data on important model inputs, such as uncertainty …
Exploring financially sustainable initiatives to address out-of-area placements in psychiatric ICUs: a computer simulation study
Background Transferring individuals for treatment outside their geographic area occurs
when healthcare demand exceeds local supply. This can result in significant financial cost …
when healthcare demand exceeds local supply. This can result in significant financial cost …