Improving opioid prescribing after surgery using genetic and clinical data
Official title: Linking Genetic and Clinical Data to Optimize Surgical Opioid Analgesic Prescribing and Predict Risks of Opioid-Related Adverse Drug Events
Funded at Brigham and Women's Hospital · NIH-11030240 · Data updated 2026-11-12
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 type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | February 15, 2024 |
| Project end | January 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $198,520 |
| NIH project number | 5K01DA059572-02 |
| Project ID | NIH-11030240 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing surgery who may require opioid analgesics for pain management.
✕Less likely to help
Patients who do not require opioid pain relief or those who are not undergoing surgical procedures may not benefit from this research.
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.
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 gone: 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
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Song, Wenyu — Brigham and Women's Hospital
- Study coordinator: Song, Wenyu
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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.