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心血管诊所中使用亚马逊 Alexa 的人工智能交互式语音应答系统的态度:来自 VOICE-COVID-19 研究的见解。

Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study.

机构信息

DREAM-CV Lab, McGill University Health Centre, McGill University, Montreal, QC, Canada.

Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

出版信息

J Cardiovasc Transl Res. 2023 Jun;16(3):541-545. doi: 10.1007/s12265-022-10289-y. Epub 2023 Feb 7.

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.

摘要

人工智能交互式语音应答(AI-IVR)系统在心血管研究环境中的可接受性尚不清楚。因此,我们评估了人们对 Amazon Echo Show 8 设备在心血管诊所进行电子数据采集时的态度。参与者是在心血管诊所的 SARS-CoV-2 暴露声筛研究(Voice-Based Screening for SARS-CoV-2 Exposure in Cardiovascular clinics study)后招募的。在 VOICE-COVID 研究中,共有 215 人登记并接受了筛查(平均年龄 46.1 岁;女性占 55%),58 人同意参加筛查后的问卷调查。经过主题分析,确定了影响 AI-IVR 可接受性的四个关键主题。这些主题包括沟通困难(44.8%)、可用交互模式的局限性(41.4%)、建立治疗关系的障碍(25.9%)以及对普遍性和可及性的担忧(8.6%)。虽然 AI-IVR 技术的使用存在潜在的担忧,但这些系统在心血管诊所似乎得到了很好的接受。这些技术的进一步发展可以显著改善医疗保健的可及性和效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9316/9904249/54ad483eb86c/12265_2022_10289_Fig1_HTML.jpg

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