[Digital phenotyping in psychiatry: Concepts, systems, and clinical implications].

Journal: L'Encephale
Published Date:

Abstract

INTRODUCTION: Digital phenotyping uses smartphones, wearable devices, and embedded sensors to repeatedly quantify behavioral and physiological features in real-world settings. Its development in psychiatry raises conceptual, methodological, clinical, infrastructural, and ethical questions. This scoping review aimed to map the different understandings of digital phenotyping, their applications, and their main limitations. METHOD: A scoping review was conducted. PubMed was searched for publications issued between January 1st, 2015, and December 31st, 2025. Publications directly addressing the conceptual foundations, methodologies, infrastructures, clinical applications, or ethical implications of digital phenotyping in psychiatry and mental health were eligible. The included publications were synthesized using thematic analysis. RESULTS: Forty-five publications were included and classified into five thematic domains: epistemology and epistemic injustice; clinical reasoning and decision models; sociotechnical systems and infrastructures; ethical considerations; and computational models and data-driven frameworks. Digital phenotyping enables the longitudinal assessment of mobility, sleep, activity, sociability, smartphone use, and selected physiological parameters. However, the resulting signals are shaped by device characteristics, sampling strategies, preprocessing decisions, and analytical models. Methodological heterogeneity, limited external validation, platform dependency, and unresolved issues concerning clinical integration and data governance currently restrict generalizability. CONCLUSION: Digital phenotyping may complement clinical interviews and improve the study of individual trajectories, but it does not provide an exhaustive representation of mental states or constitute a validated biomarker in itself. Its clinical value depends on methodological reproducibility, robust infrastructures, demonstrable decision-making utility, and contextual interpretation by clinicians.

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