The Covid-19 Decision Support System (C19DSS) – A Mobile App

Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022)(2022)

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摘要
The COVID-19 pandemic remains a concrete challenge, especially in communities and rural areas where health resources are scarce. We recently developed several classifiers, useful to predict safe discharge, disease severity, and mortality risk from COVID-19, fed by routine analyses collected in the Emergency Department. In this paper, we discuss a system, made up of an app and a server, that enables doctors to use these models during the management of COVID-19 patients. The app has been developed involving the doctors since the early phases of the app design, then revised in the light of two usability cycles. We report its main features and its ease of use. So far, it has been used during the fourth wave, producing accurate results with patients that did not complete the vaccination protocol (i.e., up to the second dose).
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关键词
COVID-19, App, Machine learning, User-centered design
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