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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

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...

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Detalles Bibliográficos
Autores principales: Ganni, Elie, Razaghizad, Amir, Oulousian, Emily, Chung, Peter, Ni, Jiayi, Avram, Robert, Sharma, Abhinav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904249/
https://www.ncbi.nlm.nih.gov/pubmed/36749563
http://dx.doi.org/10.1007/s12265-022-10289-y
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author Ganni, Elie
Razaghizad, Amir
Oulousian, Emily
Chung, Peter
Ni, Jiayi
Avram, Robert
Sharma, Abhinav
author_facet Ganni, Elie
Razaghizad, Amir
Oulousian, Emily
Chung, Peter
Ni, Jiayi
Avram, Robert
Sharma, Abhinav
author_sort Ganni, Elie
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12265-022-10289-y.
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spelling pubmed-99042492023-02-07 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 J Cardiovasc Transl Res Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12265-022-10289-y. Springer US 2023-02-07 /pmc/articles/PMC9904249/ /pubmed/36749563 http://dx.doi.org/10.1007/s12265-022-10289-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Ganni, Elie
Razaghizad, Amir
Oulousian, Emily
Chung, Peter
Ni, Jiayi
Avram, Robert
Sharma, Abhinav
Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title_full Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title_fullStr Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title_full_unstemmed Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title_short Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study
title_sort attitudes about artificially intelligent interactive voice response systems using amazon alexa in cardiovascular clinics: insights from the voice-covid-19 study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904249/
https://www.ncbi.nlm.nih.gov/pubmed/36749563
http://dx.doi.org/10.1007/s12265-022-10289-y
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