Personalized risk tool to prevent and detect life-threatening problems after surgery
Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to Rescue
This project will create personalized tools that spot patients at high risk of serious complications after surgery so care teams can act sooner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-11172540 on NIH RePORTER |
What this research studies
You would have your medical records, vital signs, and lab data used to build a personalized risk score that predicts dangerous problems after an operation. The team will combine electronic health record data and smart-hospital monitoring to find early signs that a patient is deteriorating. They will test the tools across hospitals and surgical centers to make sure the predictions work for different kinds of patients and settings. If the system flags you as high risk, clinicians could intervene earlier to try to prevent severe complications or death.
Who could benefit from this research
Good fit: Adults having major inpatient surgery or higher-risk ambulatory procedures, especially older or sicker patients, are the most likely candidates.
Not a fit: People having very low-risk outpatient procedures or patients treated at hospitals that do not adopt these tools may not see direct benefit.
Why it matters
Potential benefit: If successful, the tools could lower deaths after surgery by enabling earlier detection and faster treatment of complications.
How similar studies have performed: Early-warning systems and predictive models have helped detect patient deterioration in other settings, but personalized, cross-hospital tools focused on preventing failure-to-rescue are relatively new.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Cannesson, Maxime — University of California Los Angeles
- Study coordinator: Cannesson, Maxime
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.