Predicting Psychosis Outcomes from Health Records
2/5 Clinical Outcome Prediction of Psychosis from Electronic Health Records (COPPER)
This project uses artificial intelligence to help predict future outcomes for people living with psychosis, aiming for more personalized care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York Genome Center NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11184424 on NIH RePORTER |
What this research studies
We are developing new ways to predict how psychosis might progress for individuals, using information from their electronic health records, detailed symptom patterns, and genetic data. Our goal is to create tools that can help doctors make more informed decisions about treatment plans and resource allocation. We also plan to look at the social and ethical considerations of using these types of predictions in mental health care. This work aims to bring personalized medicine to psychiatry, helping to tailor treatments and monitor progress more effectively.
Who could benefit from this research
Good fit: This work is relevant for individuals diagnosed with schizophrenia and other psychosis-related disorders, as it uses their health data to understand disease progression.
Not a fit: Patients without a diagnosis of psychosis-related disorders would not directly benefit from the specific predictions developed by this project.
Why it matters
Potential benefit: If successful, this work could lead to more personalized treatment plans and better monitoring for individuals with psychosis, potentially improving long-term outcomes and reducing side effects.
How similar studies have performed: While clinical predictors are common in other medical fields, their application in psychiatry, especially for psychosis outcomes using machine learning on EHRs, is a relatively new and developing area.
Where this research is happening
New York, United States
- New York Genome Center — New York, United States (Active)
Researchers
- Principal investigator: Zody, Michael C — New York Genome Center
- Study coordinator: Zody, Michael C
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.