Digital addiction monitoring and early mental health intervention platform
This technology is a digital mental health platform that passively monitors addictive screen-use behaviors to detect early suicide risk and deliver adaptive interventions before clinical crises occur.
Unmet Need: Early detection and intervention tools for addictive digital behaviors
Current approaches to digital mental health largely focus on total screen time or self-initiated clinical reporting, which fail to capture the addictive patterns of use most strongly associated with suicidal behaviors and mental health deterioration. There are no widely deployed systems that can continuously monitor addictive screen-use trajectories, detect early worsening risk, and intervene before symptoms escalate. As a result, high-risk individuals are often identified too late, after significant psychological harm has already occurred. There is a critical need for scalable, evidence-based tools that enable early detection, risk stratification, and proactive intervention to target addiction-related digital mental health crises.
The Technology: Digital platform for monitoring addictive screen use and early mental health intervention
This technology is a software-based digital mental health platform that passively monitors social media and gaming behavior across devices to identify high-risk addictive screen-use trajectories. By moving beyond total screen time, it detects patterns associated with elevated risk of depression, suicidal ideation, and suicidal behaviors. When predefined risk thresholds are exceeded, the system triggers validated mental health assessments and deploys curated, evidence-based digital interventions. For individuals with persistent or severe risk, the platform escalates care through professional referral or emergency guidance, enabling early detection and proactive intervention before clinical crises develop.
This technology has been validated with a large-scale, longitudinal human cohort study.
Applications:
- Early detection platform for preventing crises
- Trajectory-based risk assessment
- Digital mental-health screening tool
- Continuous monitoring system for addiction detection
- Compatible and deployable across consumer devices
Advantages:
- Enables early identification of high-risk digital addiction signs
- Supports continuous and passive monitoring across consumer devices
- Provides trajectory-based, addiction-specific risk stratification
- Integrates validated clinical data for depression and suicidal ideation
- Offers a tiered intervention system linking detection, digital therapy, and care escalation
Lead Inventor:
Related Publications:
Tech Ventures Reference:
IR CU26164
Licensing Contact: Jerry Kokoshka