Voice-based screening for SARS-CoV-2 exposure in cardiovascular clinics.

ABSTRACT:

Aims

Artificial intelligence (A.I) driven voice-based assistants may facilitate data capture in clinical care and trials; however, the feasibility and accuracy of using such devices in a healthcare environment are unknown. We explored the feasibility of using the Amazon Alexa ('Alexa') A.I. voice-assistant to screen for risk factors or symptoms relating to SARS-CoV-2 exposure in quaternary care cardiovascular clinics.

Methods and results

We enrolled participants to be screened for signs and symptoms of SARS-CoV-2 exposure by a healthcare provider and then subsequently by the Alexa. Our primary outcome was interrater reliability of Alexa to healthcare provider screening using Cohen's Kappa statistic. Participants rated the Alexa in a post-study survey (scale of 1 to 5 with 5

SUBMITTER: Sharma A 

PROVIDER: S-EPMC8344943 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature