Objective

To design an early warning system with signs and symptoms of COVID-19 disease in order to detect the levels of risk on suffering from this disease, to establish the level of vigilance and activate the appropriate protocols.

Method

A descriptive study in three phases: Bibliographic review; Consensus by experts and Piloting of early warning.

Results

Variables considered as predictors of severity to create the early warning algorithm were: dry cough, fever, oxygen saturation, dyspnea and PCR. The algorithm was designed and implemented in the Open Line Care Management electronic application (GACELA Care) ®.

Conclusions

With the implementation of early warning system, better care management is expected in inpatients that are susceptible to COVI-19.

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