Voice-based Identification of Clinical Features Requiring Emergent Action in Patients With Suspected COVID-19 Infection (VOICE-COVID) I and II Study
Voice-based Identification of Clinical Features Requiring Emergent Action in Patients With Suspected COVID-19 Infection (VOICE-COVID) I and II Study
The VOICE-COVID study will evaluate the concordance of screening for symptoms of COVID-19 using a voice based device (Amazon Alexa) compared to manual screening by a study coordinator for individuals entering the Cardiology/Heart Failure clinic at the McGill University Health Centre.
This study is an open-label, prospective, cross-over randomized study.
VOICE-COVID I: All individuals entering the Heart Failure (HF) Clinic of the McGill University Health Center will be asked to participate. A poster with instructions to ask the participants (employees or patients) to speak with the Amazon Alexa device. The participant will remain 6 feet away from the device. The Amazon Alexa will ask the survey questions. A study coordinator will then ask the same questions along with some additional questions about Amazon Alexa usability. VOICE-COVID II: A second cohort of 52 people will be then randomized to be screened for symptoms of COVID-19 with an Amazon Alexa or a coordinator. We will study the correlation between the Alexa response and the response to the study coordinator using K-squared statistic tests and screening question concordance.
Inclusion Criteria:
Exclusion Criteria: