Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres
Philippe Ravaud, Franck le Ouay, Etienne Depaulis, Alexandre Huckert,, Bruno Vegreville, Viet-Thi Tran

TL;DR
This paper presents an open-source digital platform that remotely monitors COVID-19 patients at home, reducing healthcare workload by automating data collection and early warning detection in hospital Command Centres.
Contribution
It introduces a scalable, open-source system for remote patient monitoring and coordination during health crises, enhancing hospital capacity and response efficiency.
Findings
Real-time remote monitoring of patients is feasible.
Automated filtering detects early warning signs effectively.
Open-source software enables widespread deployment.
Abstract
The Covid-19 outbreak threatens to saturate healthcare systems in most Western countries. We describe how digital technologies may be used to automatically and remotely monitor patients at home. Patients answer simple self-reported questionnaires and their data is transmitted, in real time, to a Command Centre in the nearest reference hospital. Patient reported data are automatically filtered by algorithms to identify those with early warning signs. Open-source code of all software components required to deploy the remote digital monitoring platform and Command Centres is available.
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Taxonomy
TopicsCOVID-19 diagnosis using AI · Telemedicine and Telehealth Implementation · COVID-19 epidemiological studies
