Design of a triage chatbot to rule out respiratory diseases: Systematic review. (#567)

Authors

Condor-Baldeón, Anthony

Díaz-Ordoñez, Kevin

Ponte-Santos, Abel

Abstract

Abstract- In today's global healthcare environment, the crucial and efficient importance of a chatbot designed for respiratory disease triage is highlighted. Its relevance lies in its ability to streamline the initial assessment by providing users with a quick and accessible way to describe their symptoms, which facilitates early identification of severe cases. The implementation of this chatbot improves healthcare services by efficiently directing users to appropriate resources and recommendations, thereby reducing the burden on medical systems. To address this issue, two systematic review methodologies were employed, such as the PRISMA and PICO method. Through the formulation of research questions and inclusion and exclusion criteria, 10 open access research articles were collected from the Scopus and Redalyc databases. The results revealed that detailed information gathering by the chatbot, supported by advanced algorithms, improves the accuracy of triage when assessing symptom severity. Moreover, this chatbot not only functions as a preliminary diagnostic tool, but also plays a crucial role in providing information on preventive measures and self-care guidelines. Keywords-Chatbot, COVID-19, AI, symptoms, implementation, medical systems.