Improving how we extract information from clinical records
Joint learning methods for event and relation extraction from clinical narratives
This study is working on a new way to better understand and use information from your medical records, so doctors can more accurately identify health issues and treatments, ultimately helping to improve your care and health outcomes.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | George Mason University NIH-funded |
| Lab location | 1 site (Fairfax, United States) |
| Project ID | NIH-10507223 on NIH RePORTER |
What this research studies
This research focuses on enhancing the extraction of critical information from electronic health records (EHRs) using advanced natural language processing techniques. By developing joint learning methods, the project aims to identify medical problems, treatments, and diagnostic tests more accurately, while also understanding their relationships. This approach seeks to address current limitations in existing systems, particularly in handling less common clinical observations and reducing errors in data extraction. Patients' clinical narratives will be better analyzed, leading to improved patient care and outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients whose clinical narratives contain complex medical information, particularly those experiencing conditions like anaphylaxis.
Not a fit: Patients with straightforward medical histories or those not represented in electronic health records may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and comprehensive information extraction from clinical records, ultimately improving patient diagnosis and treatment.
How similar studies have performed: Previous research has shown promise in using natural language processing for clinical data extraction, indicating that this approach has the potential for significant advancements.
Where this research is happening
Fairfax, United States
- George Mason University — Fairfax, United States (Active)
Researchers
- Principal investigator: Uzuner, Ozlem — George Mason University
- Study coordinator: Uzuner, Ozlem
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.