DIGITAL PHENOTYPING IN SCHIZOPHRENIA: CLINICAL APPLICATIONS, ETHICAL CHALLENGES, AND SOCIETAL IMPLICATIONS. A COMPREHENSIVE REVIEW

Authors

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5707

Keywords:

Digital Phenotyping, Schizophrenia, Digital Psychiatry, Mobile Health, Behavioral Monitoring, Machine Learning

Abstract

"Digital phenotyping" refers to the real-time measurement of human behavior using data from cellphones and wearable sensors. Interest in this method has increased in psychiatric research, particularly for severe mental disorders such as schizophrenia. Schizophrenia is a chronic illness that impairs daily functioning and is characterized by disturbances in perception, cognition, and emotional regulation. Traditional clinical evaluations are episodic and rely on self-reported data, potentially overlooking significant changes between visits. Digital phenotyping allows for continuous behavioral data collection in real-world settings, capturing metrics such as social interaction, communication, sleep, and mobility. These data can enhance understanding of symptom progression, relapse risk, and treatment effectiveness. However, digital monitoring raises ethical and social concerns regarding data governance, privacy, and the responsible use of artificial intelligence in psychiatric care. This review assesses the clinical value, technological foundations, and ethical considerations of digital phenotyping in schizophrenia. The article summarizes current research and proposes strategies for integrating digital behavioral monitoring into mental health care.

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Published

2026-06-25

How to Cite

Kucab, E., Szpanelewski, K., Kołodziej, R., Kołodziej, A., Klecha, J., Dziki, K., Kula, I., Ciemięga, J., Adamiec, W., Danilczuk, D. ., Półchłopek, S., & Lulek, S. (2026). DIGITAL PHENOTYPING IN SCHIZOPHRENIA: CLINICAL APPLICATIONS, ETHICAL CHALLENGES, AND SOCIETAL IMPLICATIONS. A COMPREHENSIVE REVIEW. International Journal of Innovative Technologies in Social Science, 4(2(50). https://doi.org/10.31435/ijitss.2(50).2026.5707

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