Improving the identification and classification of status epilepticus using advanced data analysis.
Official title: Mixed Methods Framework to Facilitate Clinical Phenotyping and Surveillance of Status Epilepticus
Funded at University of Chicago · NIH-11041059 · Data updated 2026-11-12
This study is looking at a serious condition called status epilepticus to find better ways to identify and treat patients who are at risk, using advanced technology to analyze health records and improve our understanding of this condition.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | February 22, 2024 |
| Project end | January 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $206,155 |
| NIH project number | 5R21NS137117-02 |
| Project ID | NIH-11041059 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing status epilepticus or its rare subtypes, particularly those who may benefit from improved diagnostic criteria.
✕Less likely to help
Patients with conditions unrelated to status epilepticus or those who do not have access to the necessary electronic health records may not benefit from this research.
What this research studies
This research focuses on status epilepticus (SE), a serious neurological condition that can lead to significant health complications. By utilizing advanced techniques such as Natural Language Processing (NLP) to analyze unstructured data from electronic health records, the project aims to create better definitions and classifications of SE. This will help in identifying high-risk patients and improving early diagnosis and treatment strategies. The goal is to enhance the understanding of SE and its subtypes, ultimately leading to better patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnosis and treatment of status epilepticus, reducing the risk of neurological decline and hospital readmissions for patients.
How similar studies have gone: While the approach of using unstructured data for clinical phenotyping is innovative, similar methodologies have shown promise in other areas of medical research.
Where this research is happening
-
University of Chicago
Chicago, United States Active
Researchers
- Principal investigator: Haider, Hiba a — University of Chicago
- Study coordinator: Haider, Hiba a
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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.