Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 2, 2021
Date Accepted: Oct 7, 2021
Date Submitted to PubMed: Dec 21, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
SMART COVID Navigator: A Clinical Decision Support for COVID-19
ABSTRACT
The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected 83 million individuals at the time of writing. In this paper, we describe the creation of a clinical decision support tool, the SMART COVID Navigator, a web application to assist clinicians in treating COVID-19 patients. A large volume of research findings from observational studies about disease interactions with COVID-19 are being produced almost daily. Our app allows clinicians to access a patient’s electronic health records and identify disease interactions from a large set of observational research studies that affect severity and fatality due to COVID-19. We also analyze the results of the collected studies to determine which medical conditions result in an increased chance of severity and/or fatality of COVID-19 progression.
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