Predicting Psychosis Outcomes Using Health Records
3/5 Clinical Outcome Prediction of Psychosis from Electronic Health Records (COPPER)
This project uses artificial intelligence to help understand and predict how psychosis-related conditions might progress for individuals, aiming for more personalized care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11182503 on NIH RePORTER |
What this research studies
In many areas of medicine, doctors use tools to predict how a condition might unfold, but this is less common in psychiatry. This work aims to change that for psychosis-related disorders, which affect many people and have varied long-term outcomes. We are using advanced computer methods to look at information from electronic health records and genetic data to find patterns and identify different types of outcomes. This will help us understand who might benefit most from certain treatments and how to best support each person.
Who could benefit from this research
Good fit: This work focuses on individuals with schizophrenia and other psychosis-related disorders whose health information is available in large electronic health record databases.
Not a fit: Patients whose medical history is not captured in the specific electronic health record databases being used may not directly benefit from this particular analysis.
Why it matters
Potential benefit: If successful, this work could lead to more personalized treatment plans, better monitoring of outcomes, and more effective preventive strategies for individuals with psychosis-related disorders.
How similar studies have performed: While clinical predictors are common in other medical fields, their application in psychiatry, especially using machine learning with large EHR datasets for psychosis, is a developing and less established area.
Where this research is happening
New York, United States
- New York University School of Medicine — New York, United States (Active)
Researchers
- Principal investigator: Finnerty, Molly T — New York University School of Medicine
- Study coordinator: Finnerty, Molly T
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.