Improving recommendations for head and neck medical imaging
Official title: Addressing Variability and Inequities via Systematic Evidence-based Recommendations (AdVISER) for Head and Neck Imaging
Funded at Brigham and Women's Hospital · NIH-11015277 · Data updated 2026-11-12
This study is looking at how doctors recommend medical imaging for head and neck issues to make sure everyone gets the best care possible, and it’s designed to help improve the way these recommendations are made so that patients receive clearer and more consistent guidance.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 30, 2024 |
| Project end | September 29, 2029 |
| Funding year | 2024 |
| Award (this year) | $397,913 |
| NIH project number | 1R18HS029839-01A1 |
| Project ID | NIH-11015277 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing head and neck imaging who may benefit from clearer and more consistent imaging recommendations.
✕Less likely to help
Patients who do not require head and neck imaging or those whose imaging needs are already being met effectively may not benefit from this research.
What this research studies
This research aims to address inconsistencies and inequities in medical imaging recommendations for head and neck conditions. By analyzing the variability in radiologist recommendations for additional imaging, the project seeks to identify and reduce discrepancies in decision-making that can lead to diagnostic errors. Utilizing a validated natural language processing algorithm, the study will implement a systematic audit and feedback process to promote adherence to evidence-based practices across multiple healthcare sites. This approach aims to enhance the clarity and actionability of imaging recommendations, ultimately improving patient care.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and equitable medical imaging recommendations, reducing diagnostic errors and improving patient outcomes.
How similar studies have gone: Similar approaches using natural language processing in healthcare have shown promise in improving clinical decision-making and reducing variability in recommendations.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Guenette, Jeffrey P — Brigham and Women's Hospital
- Study coordinator: Guenette, Jeffrey P
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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.