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Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

The term “digital phenotype” refers to the digital footprint left by patient-environment interactions. It has potential for both research and clinical applications but challenges our conception of health care by opposing 2 distinct approaches to medicine: one centered on illness with the aim of clas...

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Autores principales: Oudin, Antoine, Maatoug, Redwan, Bourla, Alexis, Ferreri, Florian, Bonnot, Olivier, Millet, Bruno, Schoeller, Félix, Mouchabac, Stéphane, Adrien, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585447/
https://www.ncbi.nlm.nih.gov/pubmed/37792430
http://dx.doi.org/10.2196/44502
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author Oudin, Antoine
Maatoug, Redwan
Bourla, Alexis
Ferreri, Florian
Bonnot, Olivier
Millet, Bruno
Schoeller, Félix
Mouchabac, Stéphane
Adrien, Vladimir
author_facet Oudin, Antoine
Maatoug, Redwan
Bourla, Alexis
Ferreri, Florian
Bonnot, Olivier
Millet, Bruno
Schoeller, Félix
Mouchabac, Stéphane
Adrien, Vladimir
author_sort Oudin, Antoine
collection PubMed
description The term “digital phenotype” refers to the digital footprint left by patient-environment interactions. It has potential for both research and clinical applications but challenges our conception of health care by opposing 2 distinct approaches to medicine: one centered on illness with the aim of classifying and curing disease, and the other centered on patients, their personal distress, and their lived experiences. In the context of mental health and psychiatry, the potential benefits of digital phenotyping include creating new avenues for treatment and enabling patients to take control of their own well-being. However, this comes at the cost of sacrificing the fundamental human element of psychotherapy, which is crucial to addressing patients’ distress. In this viewpoint paper, we discuss the advances rendered possible by digital phenotyping and highlight the risk that this technology may pose by partially excluding health care professionals from the diagnosis and therapeutic process, thereby foregoing an essential dimension of care. We conclude by setting out concrete recommendations on how to improve current digital phenotyping technology so that it can be harnessed to redefine mental health by empowering patients without alienating them.
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spelling pubmed-105854472023-10-20 Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health Oudin, Antoine Maatoug, Redwan Bourla, Alexis Ferreri, Florian Bonnot, Olivier Millet, Bruno Schoeller, Félix Mouchabac, Stéphane Adrien, Vladimir J Med Internet Res Viewpoint The term “digital phenotype” refers to the digital footprint left by patient-environment interactions. It has potential for both research and clinical applications but challenges our conception of health care by opposing 2 distinct approaches to medicine: one centered on illness with the aim of classifying and curing disease, and the other centered on patients, their personal distress, and their lived experiences. In the context of mental health and psychiatry, the potential benefits of digital phenotyping include creating new avenues for treatment and enabling patients to take control of their own well-being. However, this comes at the cost of sacrificing the fundamental human element of psychotherapy, which is crucial to addressing patients’ distress. In this viewpoint paper, we discuss the advances rendered possible by digital phenotyping and highlight the risk that this technology may pose by partially excluding health care professionals from the diagnosis and therapeutic process, thereby foregoing an essential dimension of care. We conclude by setting out concrete recommendations on how to improve current digital phenotyping technology so that it can be harnessed to redefine mental health by empowering patients without alienating them. JMIR Publications 2023-10-04 /pmc/articles/PMC10585447/ /pubmed/37792430 http://dx.doi.org/10.2196/44502 Text en ©Antoine Oudin, Redwan Maatoug, Alexis Bourla, Florian Ferreri, Olivier Bonnot, Bruno Millet, Félix Schoeller, Stéphane Mouchabac, Vladimir Adrien. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.10.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Oudin, Antoine
Maatoug, Redwan
Bourla, Alexis
Ferreri, Florian
Bonnot, Olivier
Millet, Bruno
Schoeller, Félix
Mouchabac, Stéphane
Adrien, Vladimir
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title_full Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title_fullStr Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title_full_unstemmed Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title_short Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
title_sort digital phenotyping: data-driven psychiatry to redefine mental health
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585447/
https://www.ncbi.nlm.nih.gov/pubmed/37792430
http://dx.doi.org/10.2196/44502
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