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

Wearable biometric monitoring devices (BMDs) and artificial intelligence (AI) 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...

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Autores principales: Tran, Viet-Thi, Riveros, Carolina, Ravaud, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572821/
https://www.ncbi.nlm.nih.gov/pubmed/31304399
http://dx.doi.org/10.1038/s41746-019-0132-y
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author Tran, Viet-Thi
Riveros, Carolina
Ravaud, Philippe
author_facet Tran, Viet-Thi
Riveros, Carolina
Ravaud, Philippe
author_sort Tran, Viet-Thi
collection PubMed
description Wearable biometric monitoring devices (BMDs) and artificial intelligence (AI) 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 AI 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 BMDs and AI in healthcare. Vignettes covered the use of AI to screen for skin cancer, remote monitoring of chronic conditions to predict exacerbations, smart clothes to guide physical therapy, and AI 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 BMDs and AI-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.
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spelling pubmed-65728212019-07-12 Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort Tran, Viet-Thi Riveros, Carolina Ravaud, Philippe NPJ Digit Med Article Wearable biometric monitoring devices (BMDs) and artificial intelligence (AI) 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 AI 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 BMDs and AI in healthcare. Vignettes covered the use of AI to screen for skin cancer, remote monitoring of chronic conditions to predict exacerbations, smart clothes to guide physical therapy, and AI 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 BMDs and AI-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. Nature Publishing Group UK 2019-06-14 /pmc/articles/PMC6572821/ /pubmed/31304399 http://dx.doi.org/10.1038/s41746-019-0132-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tran, Viet-Thi
Riveros, Carolina
Ravaud, Philippe
Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title_full Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title_fullStr Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title_full_unstemmed Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title_short Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
title_sort patients’ views of wearable devices and ai in healthcare: findings from the compare e-cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572821/
https://www.ncbi.nlm.nih.gov/pubmed/31304399
http://dx.doi.org/10.1038/s41746-019-0132-y
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