Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Nov 22, 2022
Open Peer Review Period: Nov 21, 2022 - Jan 16, 2023
Date Accepted: Aug 21, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health
ABSTRACT
It has tremendous potential for both research and clinical applications, but challenges our conception of healthcare by opposing two distinct approaches to medicine: one centered around illness, with the aim of classifying and curing disease, the other centered around patients and their personal suffering and lived experience. In the context of mental health and psychiatry, while digital phenotyping holds out the promise of novel treatment avenues and the empowerment of patients to regulate their own health, it entails the sacrifice of the human approach to patients’ suffering that forms the very foundation of psychotherapy. In this article, we review the formidable advances rendered possible by digital phenotyping and highlight the risk that this technology may pose in partially or even wholly excluding healthcare professionals from the diagnosis and therapeutic process, thereby foregoing an essential dimension of care. We end by setting out concrete recommendations as to 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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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.