From E-Health to I-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care

Overview

Journal Brain Sci

Publisher MDPI

Date 2018 Jun 3

PMID 29857495

Citations 7

Authors

Xavier Briffault

Margot Morgieve

Philippe Courtet

Affiliations

Soon will be listed here.

Abstract

Depressive disorders cover a set of disabling problems, often chronic or recurrent. They are characterized by a high level of psychiatric and somatic comorbidities and represent an important public health problem. To date, therapeutic solutions remain unsatisfactory. For some researchers, this is a sign of decisive paradigmatic failure due to the way in which disorders are conceptualized. They hypothesize that the symptoms of a categorical disorder, or of different comorbid disorders, can be interwoven in chains of interdependencies on different elements, of which it would be possible to act independently and synergistically to influence the functioning of the symptom system, rather than limiting oneself to targeting a hypothetical single underlying cause. New connected technologies make it possible to invent new observation and intervention tools allowing better phenotypic characterization of disorders and their evolution, that fit particularly well into this new "symptoms network" paradigm. Synergies are possible and desirable between these technological and epistemological innovations and can possibly help to solve some of the difficult problems people with mental disorders face in their everyday life, as we will show through a fictional case study exploring the possibilities of connected technologies in mental disorders in the near future.

Citing Articles

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health.

Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B J Med Internet Res. 2023; 25:e44502.

PMID: 37792430 PMC: 10585447. DOI: 10.2196/44502.

An empirical investigation into the altering health perspectives in the internet of health things.

Bahbouh N, Compte S, Valdes J, Abi Sen A Int J Inf Technol. 2022; 15(1):67-77.

PMID: 35874858 PMC: 9294750. DOI: 10.1007/s41870-022-01035-3.

iHealth: The ethics of artificial intelligence and big data in mental healthcare.

Rubeis G Internet Interv. 2022; 28:100518.

PMID: 35257003 PMC: 8897624. DOI: 10.1016/j.invent.2022.100518.

How Does COVID-19 Affect the Neurobiology of Suicide?.

Conejero I, Nobile B, Olie E, Courtet P Curr Psychiatry Rep. 2021; 23(4):16.

PMID: 33660116 PMC: 7927764. DOI: 10.1007/s11920-021-01227-x.

Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study.

Sadeh-Sharvit S, Hollon S JMIR Ment Health. 2020; 7(11):e20646.

PMID: 33242025 PMC: 7728526. DOI: 10.2196/20646.

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