Improving recommendations for head and neck medical imaging

Addressing Variability and Inequities via Systematic Evidence-based Recommendations (AdVISER) for Head and Neck Imaging

NIH-funded research Brigham and Women's Hospital · NIH-11015277

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 typeNIH-funded research
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11015277 on NIH RePORTER

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.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients undergoing head and neck imaging who may benefit from clearer and more consistent imaging recommendations.

Not a fit: 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.

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 performed: 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

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.