Developing a system to track and reduce infections after surgery
Automated Surveillance of Postoperative Infections (ASPIN)
This study is testing a new computer system that helps doctors quickly spot and track infections after surgery by looking at patient records, making it easier for them to keep you safe and healthy.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project ID | NIH-10887438 on NIH RePORTER |
What this research studies
This research focuses on creating an automated system called ASPIN that uses machine learning to identify and track postoperative infections by analyzing electronic health record (EHR) data. The system aims to provide detailed reports on infection rates and complications to surgeons and healthcare providers, enhancing their awareness and ability to respond. By piloting this system in four major hospitals within the University of Colorado Health system, the research seeks to replace the current manual methods of tracking infections, which are often inefficient and incomplete.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing surgical procedures at the participating hospitals within the University of Colorado Health system.
Not a fit: Patients who are not undergoing surgery or those treated at hospitals outside the University of Colorado Health system may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the incidence of postoperative infections, leading to better patient outcomes and lower healthcare costs.
How similar studies have performed: Other research has shown success in using machine learning and EHR data to improve patient outcomes, indicating that this approach has potential for significant impact.
Where this research is happening
Aurora, UNITED STATES
- University of Colorado Denver — Aurora, United States (Active)
Researchers
- Principal investigator: Colborn, Kathryn Louise — University of Colorado Denver
- Study coordinator: Colborn, Kathryn Louise
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 below.