Predicting Psychosis Outcomes from Electronic Health Records
Official title: 1/5 Clinical Outcome Prediction of Psychosis from EHRs (COPPER)
Funded at Columbia University Health Sciences · NIH-11395522 · Data updated 2026-11-12
A next-step project uses computer models to help doctors forecast how psychosis-related conditions may unfold for patients using routine health records.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 5, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $921,159 |
| NIH project number | 5R01MH137679-03 |
| Project ID | NIH-11395522 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with schizophrenia or related psychosis-related disorders who have longitudinal health records available.
✕Less likely to help
Patients without access to comprehensive EHR data or whose condition falls outside the study databases may not benefit.
What this research studies
This project will combine long-term electronic health records with detailed clinical and genetic information to identify patterns that predict outcomes in schizophrenia. Researchers will build machine learning models using two large health databases to find subtypes of psychosis and forecast future needs. The goal is to support personalized treatment planning, better resource use, and proactive care for individuals with psychosis.
Why it matters
Potential benefit: If successful, patients could receive more accurate risk forecasts and tailored treatment plans.
How similar studies have gone: Previous work using health records has shown promise in predicting outcomes, but this project advances by integrating multiple data types and addressing ethical implications.
Where this research is happening
-
Columbia University Health Sciences
New York, United States Active
Researchers
- Principal investigator: Kushner, Steven a — Columbia University Health Sciences
- Study coordinator: Kushner, Steven a
Related research
Other NIH-funded projects on the same topics.
-
Psychosis in diverse settings across the world
This project studies how psychotic disorders show up and respond to treatment in adults with diverse backgrounds, including populations in Africa, the Caribbean, and other Global South settings.
-
Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South
A human-facing study will look at how psychotic disorders present and respond to treatment in adults from Africa, the Caribbean, and other Global South settings, using genetic and clinical data.
-
A new online brain-scan-style tool to spot early psychosis risk
A new online-based set of tasks and a computer model aims to identify people at high risk for developing psychosis earlier and more accurately.
-
Genetic clues for early-onset psychosis in Latino youth
This project looks at the genes of young people with early-onset psychosis and compares them with similar youths without psychosis to find genetic factors that contribute to the illness.
-
Biomarkers to tailor rehab for Veterans with schizophrenia
A clinician-scientist is developing a brain-based biomarker to guide personalized rehabilitation for Veterans with schizophrenia.
-
Computational analysis of facial expression in early psychosis
Aims to develop computer-based measures of facial expression in people at risk for or with schizophrenia to help track symptoms and guide future trials.
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.