Using technology to identify risk factors for immune diseases from electronic health records.
Use of NLP to Extract Risk Indicators for Immunologic Disease from the Text of EHRs (UNIITE)
This study is looking at ways to use computer technology to read health records and find early signs of primary immune deficiency diseases, helping doctors catch these rare conditions sooner so patients can get the care they need before serious infections happen.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Virginia Polytechnic Inst and St Univ NIH-funded |
| Lab location | 1 site (Blacksburg, United States) |
| Project ID | NIH-10982603 on NIH RePORTER |
What this research studies
This research focuses on utilizing natural language processing (NLP) to analyze electronic health records (EHRs) in order to identify risk indicators for primary immune deficiency (PID) diseases. By extracting relevant information from EHR notes, the project aims to enhance early detection and diagnosis of these rare diseases, which often go unrecognized until serious infections occur. The approach combines advanced analytical tools with digital health records to improve patient care and understanding of immunologic diseases. The ultimate goal is to create a system that can automatically highlight potential PID risks, thereby facilitating timely medical intervention.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who exhibit symptoms of primary immune deficiency or have a family history of immunologic diseases.
Not a fit: Patients with well-established diagnoses of immune diseases or those without any symptoms related to immunologic conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and better management of primary immune deficiency diseases, improving patient outcomes.
How similar studies have performed: Previous research has shown promise in using NLP techniques to analyze EHR data for various medical conditions, indicating that this approach could be effective for immunologic diseases as well.
Where this research is happening
Blacksburg, United States
- Virginia Polytechnic Inst and St Univ — Blacksburg, United States (Active)
Researchers
- Principal investigator: Rider, Nicholas L — Virginia Polytechnic Inst and St Univ
- Study coordinator: Rider, Nicholas L
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.