Using advanced technology to improve emergency psychiatric care
Official title: Improving emergency psychiatric care through machine learning, causal inference, and psychometrics
Funded at Massachusetts General Hospital · NIH-10989883 · Data updated 2026-11-12
This study is looking at a lot of emergency room visits to find ways to improve care for people facing mental health crises, so that doctors can better understand what patients need and help them more effectively.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | December 1, 2023 |
| Project end | November 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $180,635 |
| NIH project number | 5K01MH135131-02 |
| Project ID | NIH-10989883 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have experienced psychiatric emergencies and have utilized emergency department services.
✕Less likely to help
Patients who do not seek emergency psychiatric care or those with stable mental health conditions may not benefit from this research.
What this research studies
This research focuses on enhancing the quality of emergency psychiatric care by analyzing a large dataset of emergency department visits. It aims to identify patterns and predictors of psychiatric patient care using advanced machine learning techniques and psychometric analysis. By examining over 141,000 emergency visits, the study will develop models to better understand patient needs and optimize clinical decision-making. This approach seeks to improve patient outcomes during critical mental health crises.
Why it matters
Potential benefit: If successful, this research could lead to more effective and timely psychiatric care in emergency settings, ultimately improving patient outcomes.
How similar studies have gone: Other research has shown promise in using data-driven approaches to improve emergency care, indicating that this methodology could be effective.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Kennedy, Christopher James — Massachusetts General Hospital
- Study coordinator: Kennedy, Christopher James
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.