Decision-making tools for healthcare structures in times of pandemic

From descriptive epidemiology to interventional epidemiology: The central role of epidemiologists in COVID-19 crisis management

“…Beyond epidemiological modelling, open science has also led to the sharing of technological solutions facilitating crisis management, particularly through decision-making tools for health care structures, as discussed by Garaix et al [12] .…”

Modelling and Closed-Loop Control of Admissions in a Vaccination Center Through Tropical Algebra

“…In van der Schaar et al ( 2021 ) it is pointed out how artificial intelligence and machine learning could help in the management of limited healthcare resources, in the development of personalized treatment plans for different patients, in the improvement of collaboration among people working against COVID-19 and in enhancing the efficiency and effectiveness of clinical trials. In Garaix et al ( 2022 ) the authors report four initiatives in which experts paired with front-line health care workers in order to design systems intended to improve the operation of the health care structures dealing with patients in need of urgent care. In one of those initiatives (Allamigeon et al, 2021 ), Petri net-based models were used to predict the necessary staff to handle a swift number of calls to the Medical Emergence Services of Paris.…”