The VOICE-COVID-19

Conditions

Covid19

Keywords

COVID-19, Alexa Device, Voice-based technologies, Screening, Safety

Brief summary

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.

Detailed description

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.

Pedro Marques, Anahita Emami, Guang Zhang, Renato D. Lópes, Amir Razaghizad et al. (7 authors)

European Heart Journal - Digital Health2024-02-143 citations

10.1093/ehjdh/ztae012

Voice-assisted Artificial Intelligence-enabled Screening for Severe Acute Respiratory Syndrome Coronavirus 2 Exposure in Cardiovascular Clinics: Primary Results of the VOICE-COVID-19-II Randomized Trial.

Sharma A, Marques P, Zhang G, Oulousian E, Chung SH, Ganni E, Lopes RD, Razaghizad A, Avram R.

2023-05-224 citations

10.1016/j.cardfail.2023.05.004

Voice-Based Screening for SARS-CoV-2 Exposure in Cardiovascular Clinics (VOICE-COVID-19-II): Protocol for a Randomized Controlled Trial

Emily Oulousian, Seok Hoon Chung, Elie Ganni, Amir Razaghizad, Guang Zhang et al. (7 authors)

JMIR Research Protocols2022-12-054 citations

10.2196/41209

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

Abhinav Sharma, Emily Oulousian, Jiayi Ni, Renato D. Lópes, Matthew P. Cheng et al. (10 authors)

European Heart Journal - Digital Health2021-06-1613 citations

10.1093/ehjdh/ztab055

Interventions

DEVICEAlexa Amazon

To test the use of the Amazon Alexa device as a tool to conduct screening of employees and patients at the point of entry into the Heart Failure (HF) Clinic of the McGill University Health Center.

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* Adults \>=18 yrs who is entering the HF clinic * Speaks either English or French

Exclusion criteria

* None

Design outcomes

Primary

Measure	Time frame	Description
Correlation between data captured using Amazon Alexa compared to manual (human) collected data.	Day 1	Determine the ability of the Amazon Alexa device to properly capture answers from participants and correlate with the answers retrieved by the study coordinator.

Other

Measure	Time frame
Self reported Likert scale on comfort in using the Amazon Alexa device	Day 1

Countries

Canada

Outcome results

None listed