Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis

Abstract

This study introduces “screenomics” - a novel digital phenotyping approach that captures smartphone activity via screenshots - to examine passive and active data (obtained via ecological momentary assessment) in the days prior to psychiatric hospitalization for suicidal crises.

Key Innovation

Screenomics Methodology:

• Digital phenotyping through automated smartphone screenshots
• Passive data collection without user burden
• Real-time monitoring of smartphone usage patterns
• Integration with ecological momentary assessment (EMA) data

Research Significance

• First Application: Novel use of screenomics technology for suicide risk prediction
• Digital Mental Health: Major advance in passive monitoring for psychiatric crises
• Clinical Utility: Potential for real-time risk assessment and intervention
• Methodological Innovation: Combines passive and active data collection methods

Clinical Implications

This research demonstrates the potential for:

• Early warning systems for psychiatric crises
• Objective assessment of mental health status
• Reduced burden on patients through passive monitoring
• Integration with existing clinical care pathways

Future Directions

The screenomics approach opens new possibilities for:

• Large-scale digital mental health monitoring
• Personalized risk prediction models
• Just-in-time adaptive interventions
• Understanding behavioral patterns preceding crises

Recommended citation: Jacobucci R., Ammerman B., & Ram N. (2024). “Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis.” JMIR Formative Research, 8:e55999.