4.7 Article

Patients' views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort

期刊

NPJ DIGITAL MEDICINE
卷 2, 期 -, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41746-019-0132-y

关键词

-

向作者/读者索取更多资源

Wearable biometric monitoring devices (BMDs) and artificial intelligence (Al) enable the remote measurement and analysis of patient data in real time. These technologies have generated a lot of hype, but their real-world effectiveness will depend on patients' uptake. Our objective was to describe patients' perceptions of the use of BMDs and Al in healthcare. We recruited adult patients with chronic conditions in France from the Community of Patients for Research (ComPaRe). Participants (1) answered quantitative and open-ended questions about the potential benefits and dangers of using of these new technologies and (2) participated in a case-vignette experiment to assess their readiness for using BMD5 and Al in healthcare. Vignettes covered the use of Al to screen for skin cancer, remote monitoring of chronic conditions to predict exacerbations, smart clothes to guide physical therapy, and Al chatbots to answer emergency calls. A total of 1183 patients (51% response rate) were enrolled between May and June 2018. Overall, 20% considered that the benefits of technology (e.g., improving the reactivity in care and reducing the burden of treatment) greatly outweighed the dangers. Only 3% of participants felt that negative aspects (inadequate replacement of human intelligence, risks of hacking and misuse of private patient data) greatly outweighed potential benefits. We found that 35% of patients would refuse to integrate at least one existing or soon-to-be available intervention using BMD5 and Al-based tools in their care. Accounting for patients' perspectives will help make the most of technology without impairing the human aspects of care, generating a burden or intruding on patients' lives.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据