Improving opioid prescribing after surgery using genetic and clinical data

Linking Genetic and Clinical Data to Optimize Surgical Opioid Analgesic Prescribing and Predict Risks of Opioid-Related Adverse Drug Events

NIH-funded research Brigham and Women's Hospital · NIH-11030240

This study is looking to improve how doctors prescribe pain relief after surgery by using your genetic information along with your medical history to find the best opioid dosage for you, helping to reduce the risk of addiction and make sure you recover safely.

Quick facts

Grant typeCareer grant
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11030240 on NIH RePORTER

What this research studies

This research aims to enhance the way opioids are prescribed for pain relief after surgery by integrating genetic information with clinical data. By analyzing large datasets from electronic health records and genomic data, the project seeks to develop a model that recommends the optimal dosage of opioids while predicting the risk of adverse effects. This approach will help healthcare providers make more informed decisions about opioid prescriptions, ultimately aiming to reduce the risk of addiction and improve patient outcomes. The research will utilize data from the Mass General Brigham healthcare system, which includes multiple hospitals sharing a centralized database.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients undergoing surgery who may require opioid analgesics for pain management.

Not a fit: Patients who do not require opioid pain relief or those who are not undergoing surgical procedures may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to safer and more effective opioid prescribing practices, reducing the risk of addiction and adverse drug events for patients.

How similar studies have performed: Previous research has shown promise in using genetic data to inform opioid prescribing, indicating that this approach could be a meaningful advancement in clinical practice.

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.
Conditions addictive disorder
Last reviewed 2026-06-15 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.