Digital Phenotyping for Mental Health: Reviewing the Challenges of Using Data to Monitor and Predict Mental Health Problems

Rasmus H. Birk*, Gabrielle Samuel

*Kontaktforfatter

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)peer review

Abstrakt

PURPOSE OF REVIEW: We review recent developments within digital phenotyping for mental health, a field dedicated to using digital data for diagnosing, predicting, and monitoring mental health problems. We especially focus on recent critiques and challenges to digital phenotyping from within the social sciences.

RECENT FINDINGS: Three significant strands of criticism against digital phenotyping for mental health have been developed within the social sciences. This literature problematizes the idea that digital data can be objective, that it can be unbiased, and argues that it has multiple ethical and practical challenges. Digital phenotyping for mental health is a rapidly growing and developing field, but with considerable challenges that are not easily solvable. This includes when, and if, data from digital phenotyping is actionable in practice; the involvement of user and patient perspectives in digital phenotyping research; the possibility of biased data; and challenges to the idea that digital phenotyping can be more objective than other forms of psychiatric assessment.

OriginalsprogEngelsk
TidsskriftCurrent Psychiatry Reports
Vol/bind24
Udgave nummer10
Sider (fra-til)523-528
Antal sider6
ISSN1523-3812
DOI
StatusUdgivet - okt. 2022

Bibliografisk note

© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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