Use of ecological momentary assessment via wearable devices for detecting acute suicide risk in psychiatric inpatients
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By
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Yourack Lee
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ByeongChang Jeong
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Cheol E. Han
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Hyun-Ghang Jeong
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July 1, 2026
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Clinical Scorecard: Application of Wearable Technology for Ecological Momentary Assessment to Identify Acute Suicide Risk in Psychiatric Inpatients
At a Glance
| Category | Detail |
|---|
| Condition | Acute Suicide Risk in Psychiatric Inpatients |
| Key Mechanisms | Wearable-derived sleep and activity features combined with baseline clinical variables for risk assessment. |
| Target Population | Psychiatric inpatients with acute disorders. |
| Care Setting | Closed psychiatric wards. |
Key Highlights
- Wearable technology used to capture sleep and activity data.
- Multimodal fusion model showed higher recall and F2-score compared to conventional assessment.
- Blunted morning activity and nocturnal hyperactivity identified as significant features.
Guideline-Based Recommendations
Diagnosis
- Utilize Columbia-Suicide Severity Rating Scale (C-SSRS) for assessing suicide risk.
Management
- Implement daily morning risk triage using wearable-derived data.
Monitoring & Follow-up
- Consider ecological momentary assessment for real-time monitoring of suicidal ideation.
Risks
- Inherent limitations in traditional interview-based assessments.
Patient & Prescribing Data
Psychiatric inpatients admitted to a closed ward.
Wearable technology may complement traditional assessment methods.
Clinical Best Practices
- Incorporate continuous monitoring of sleep and activity patterns.
- Use a combination of clinical assessments and wearable data for risk evaluation.
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