Using advanced computer tools to improve pain management after surgery
Official title: Novel Deep Learning Tools for Clinical Decision Support in Postoperative Pain Management
Funded at Univ of North Carolina Chapel Hill · NIH-10684876 · Data updated 2026-11-12
This study is looking at how to make pain relief after surgery better by using smart computer tools to understand patient records, so we can find out who might need different kinds of pain management to feel their best while they recover.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project start | August 16, 2022 |
| Project end | July 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $409,131 |
| NIH project number | 5R56LM013784-02 |
| Project ID | NIH-10684876 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing surgical procedures who may experience postoperative pain.
✕Less likely to help
Patients who are not undergoing surgery or those with chronic pain unrelated to surgical procedures may not benefit from this research.
What this research studies
This research focuses on enhancing postoperative pain management by developing novel deep learning tools that analyze electronic health records of surgery patients. By leveraging existing data, the project aims to accurately predict pain outcomes and identify patient subgroups that may respond differently to pain management strategies. The approach involves complex data analysis to understand the various factors influencing pain and to tailor treatments accordingly. This could lead to more effective and personalized pain management solutions for patients recovering from surgery.
Why it matters
Potential benefit: If successful, this research could significantly improve the way postoperative pain is managed, leading to better recovery experiences for patients.
How similar studies have gone: Previous research has shown promise in using data-driven approaches for pain management, indicating that this method could be a valuable advancement in the field.
Where this research is happening
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Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Zou, Baiming — Univ of North Carolina Chapel Hill
- Study coordinator: Zou, Baiming
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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.