Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health
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Wearable technology can provide information about a patient's behavior and biological function outside appointments, giving clinicians data that can assist in diagnosis, treatment monitoring, and prevention.
“Wearable technology can provide information about a patient’s behavior and biological function outside of their appointments, and thus allow the clinician access to data that can assist in diagnosis, treatment monitoring, and prevention [33, 34].”
From Technology-Based Approaches for Supporting Perinatal Mental Health (2022) · cites this paper as [34]
The introduction and “Origins of the Technology” describe collecting behavioral data in natural settings using smartphones and other personal digital devices, with potential uses in diagnosis and treatment. “Making Sense of Smartphone Data” discusses mobility, metabolic expenditure, and tremors, while “The Challenge of Psychiatry” proposes alerts that could enable timely intervention. The source focuses on smartphone-based digital phenotyping rather than establishing the claim specifically for wearable technology, and it presents these clinical uses as possibilities. (LLM, conf=0.84)
Experimental — accuracy not yet measuredEvidence suggests a history of childhood trauma and personality disorders might predict poorer response to initial interventions.
“evidence suggests a history of childhood trauma and personality disorders might predict poorer response to initial interventions. 605”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [605]
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“Wearable technology can provide information about a patient’s behavior and biological function outside of their appointments, and thus allow the clinician access to data that can assist in diagnosis, treatment monitoring, and prevention [33, 34].”
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- Authors
- Onnela, J.-P., & Rauch, S. L.
- Affiliations
- Harvard University (US)
- Corresponding author
- Onnela, Jukka-Pekka
- Venue
- Neuropsychopharmacology
- Published
- 2016-01-28
- Volume
- 41
- Issue
- 7
- Pages
- 1691-1696
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC4869063
- OpenAlex
- W2392412101
- Cited by
- 726
- References
- 8
- Citations by year
- 2026: 176 · 2025: 75 · 2024: 71 · 2023: 57 · 2022: 75 · 2021: 74 · 2020: 70 · 2019: 62 · 2018: 41 · 2017: 21 · 2016: 4
- FWCI
- 60.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychopharmacology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (DP2MH103909)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- digital phenotyping, smartphones, behavioral phenotypes, mental health, psychiatric diagnosis, disease markers, temporal resolution, naturalistic behavior, mobile health
- MeSH terms
- Smartphone, Behavior, Mental Disorders, Humans, Mental Health, Privacy
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