Predicting outcomes for psychosis using medical records and AI
1/5 Clinical Outcome Prediction of Psychosis from EHRs (COPPER)
Using AI on medical records, symptom data, and genetics to forecast future outcomes for people with psychosis or schizophrenia.
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 ID | NIH-11181644 on NIH RePORTER |
What this research studies
This project uses AI to analyze my medical records, genetic information, and detailed symptom ratings to try to predict how my illness may progress. The team will combine two large electronic health record databases (PSYCKES and MarketScan) with dimensional clinical assessments and genetics to identify subtypes and build predictive models. They will also examine risks from treatments like antipsychotics and consider psychosocial and ethical impacts to keep predictions fair and useful. The goal is to help personalize treatment planning, monitor outcomes, and target preventive care for people like me.
Who could benefit from this research
Good fit: Ideal candidates are people diagnosed with psychosis or schizophrenia who have longitudinal health records and, when possible, clinical ratings and genetic data available for analysis.
Not a fit: Patients without longitudinal electronic health records, those whose conditions are unrelated to psychosis, or those who do not consent to use of their clinical or genetic data may not directly benefit from this project.
Why it matters
Potential benefit: If successful, the work could help doctors tailor treatments, monitor risks earlier, and target preventive care for people with psychosis.
How similar studies have performed: Prior EHR-based and machine-learning studies in psychiatry and other medical fields have shown promising results, but integrating large-scale EHRs with genetics to predict long-term outcomes in psychosis remains relatively novel.
Where this research is happening
New York, United States
- Columbia University Health Sciences — New York, United States (Active)
Researchers
- Principal investigator: Kushner, Steven a — Columbia University Health Sciences
- Study coordinator: Kushner, Steven a
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 below.