Introduction:

The positive diagnosis of COVID-19 in paucisymptomatic patients is a priority to minimize the spread of the disease. The absence of respiratory manifestations makes diagnosis difficult and facilitates the spread. Given this situation, it is necessary to adopt technical solutions that allow diagnosis in this type of patient.

Objective:

Describe rheumatological and dermatological image processing software in the diagnosis of paucisymptomatic patients with COVID-19.

Methods:

A software based on the algorithm for the diagnostic approach of COVID-19 in paucisymptomatic patients was designed and developed. The procedure consisted of three stages; the first one was related to image processing and all its related elements; the second stage was oriented towards the identification of questions as a medical anamnesis. The third stage focused on the identification and analysis of laboratory test results and the definition of final recommendations based on the final result.

Results:

A software was designed based on an algorithm that includes three stages and is based on coincidence percentages, guiding the user in the behavior to follow depending on the coincidence percentage. It begins with the capture of an image and is followed by clinical, epidemiological and laboratory aspects of COVID-19.

Conclusions:

The algorithm for the diagnostic approach to COVID-19 is easy to use, low cost of use, and easy to implement, making it a technological tool at the service of human health to stop the spread of COVID-19.

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