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[Artigo] A COVID-19 Dashboard: Data Analytics to Aid Resource Allocation in Intensive Care Units

COVID-19 Dashboard

In this article, we focus on clinical and practical application of current available cloud-based data analysis to track and benchmark in real-time suspect and confirmed COVID-19 cases, resource use and availability.


The COVID-19 pandemic represents an unprecedented challenge to intensive care units (ICU) due to the surge of severe cases of pneumonia posing great stress to hospitals and healthcare systems (Phua et al. 2020). The fast occupation of ICU beds by these severe cases has exceeded any possibilities of organisation and planning making ICU beds and ventilators a scarce and valuable resource (Phua et al. 2020). The possibility of monitoring case-load, local and regional trends as well as the current use and availability of resources in ICUs has become even more important in the present scenario (Phua et al. 2020; Salluh et al. 2018).

In the present article we describe the characteristics of a COVID-19 dashboard for ICUs and its deployment in 1100 ICUs.

Methods and Results

We used as a base the Epimed Monitor ICU system (, a cloud-based quality improvement (QI) software that allows near-real time monitoring of case-mix, performance metrics and benchmarking for adult, paediatric and neonatal ICUs (Zampieri et al. 2017). The solution is currently implemented in 1100 ICUs in Belgium, Brazil, Chile, Colombia, France, Portugal and Uruguay. Data from this platform is also publicly available (beyond the scope of QI) in National projects (Belgium-, Brazil-, Uruguay- and the international project LOGIC – As of February 2020, we incorporated the diagnosis of COVID-19 pneumonia in the diagnostic/coding of Epimed. We subsequently developed an online platform that was seamlessly integrated with the Epimed Monitor database and allowed the near real-time surveillance of suspected and confirmed COVID-19 cases in the ICUs, its occupancy rates, use of mechanical ventilation (MV), outcomes (mortality) as well as the availability of ICU beds and ventilator support resources remaining (ventilators, NIV, ECMO) in the hospital (Figure 1). Through the benchmarking all users of Epimed can track the cumulative cases in their hospitals and region, including the outcomes and resource use. 

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