Predicting rehospitalization and disengagement in psychosis using automated speech and language analysis
Official title: Prospective Practice-Oriented Research Project: Predicting hospitalization and disengagement with automated speech and language analysis
Funded at Feinstein Institute for Medical Research · NIH-11362325 · Data updated 2026-11-12
A research project uses voice and language patterns to forecast which people with psychosis in coordinated specialty care might be readmitted to hospital or stop continuing treatment.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Feinstein Institute for Medical Research NIH-funded |
| Lab location | 1 site (Manhasset, United States) |
| Project start | June 2, 2025 |
| Project end | May 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $398,456 |
| NIH project number | 5P01MH139136-02 |
| Project ID | NIH-11362325 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals receiving coordinated specialty care for psychosis within the ESPRITO hub of EPINET who provide access to their clinical notes and transcripts.
✕Less likely to help
Patients not enrolled in coordinated specialty care or without access to speech or language data may not benefit.
What this research studies
This project will analyze speech and language from people in coordinated specialty care for psychosis to identify signals that precede rehospitalization or disengagement. Researchers will pull from existing notes and ongoing psychotherapy records, applying data-driven and insight-driven methods to extract meaningful features. The aim is to create scalable, easy-to-use indicators that clinicians can monitor over time to intervene early and keep patients engaged in care.
Why it matters
Potential benefit: If successful, clinicians could use simple speech cues to flag high-risk moments and tailor support to prevent relapses and dropout.
How similar studies have gone: Prior work shows that speech and language patterns can reflect mental states and relapse risk in psychosis, supporting potential value of this approach.
Where this research is happening
-
Feinstein Institute for Medical Research
Manhasset, United States Active
Researchers
- Principal investigator: Tang, Sunny Xiaojing — Feinstein Institute for Medical Research
- Study coordinator: Tang, Sunny Xiaojing
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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.