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Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study.
Ganni, Elie; Razaghizad, Amir; Oulousian, Emily; Chung, Peter; Ni, Jiayi; Avram, Robert; Sharma, Abhinav.
  • Ganni E; DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.
  • Razaghizad A; DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.
  • Oulousian E; Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
  • Chung P; Division of Cardiology, McGill University Health Centre, McGill University, 1001 Decarie Boulevard, Montreal, QC, H4A 3J1, Canada.
  • Ni J; DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.
  • Avram R; DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.
  • Sharma A; DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.
J Cardiovasc Transl Res ; 16(3): 541-545, 2023 06.
Article en En | MEDLINE | ID: mdl-36749563
ABSTRACT
The acceptability of artificially intelligent interactive voice response (AI-IVR) systems in cardiovascular research settings is unclear. As a result, we evaluated peoples' attitudes regarding the Amazon Echo Show 8 device when used for electronic data capture in cardiovascular clinics. Participants were recruited following the Voice-Based Screening for SARS-CoV-2 Exposure in Cardiovascular clinics study. Overall, 215 people enrolled and underwent screening (mean age 46.1; 55% females) in the VOICE-COVID study and 58 people consented to participate in a post-screening survey. Following thematic analysis, four key themes affecting AI-IVR acceptability were identified. These were difficulties with communication (44.8%), limitations with available interaction modalities (41.4%), barriers with the development of therapeutic relationships (25.9%), and concerns with universality and accessibility (8.6%). While there are potential concerns with the use of AI-IVR technologies, these systems appeared to be well accepted in cardiovascular clinics. Increased development of these technologies could significantly improve healthcare access and efficiency.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2023 Tipo del documento: Article