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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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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. |
format | Online Article Text |
id | pubmed-10585447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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