Improving patient care after major surgery using AI to match patient needs with hospital resources
Aligning Patient Acuity with Resource Intensity after Major Surgery
This study is working on a smart system to help hospitals decide the best care for patients after major surgery, making sure they get the right level of support to recover well and avoid extra costs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-10994166 on NIH RePORTER |
What this research studies
This research aims to develop a decision-support system that enhances how hospitals manage patient care after major surgery. By using advanced artificial intelligence models, the project will analyze patient data to ensure that individuals are placed in the most appropriate care settings, whether that be intensive care units or general wards. The goal is to reduce unnecessary hospital costs and improve patient outcomes by aligning the level of care with the actual needs of patients. The research will involve testing these models across multiple hospitals to validate their effectiveness in real-world settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing major surgery who require postoperative care and monitoring.
Not a fit: Patients who are not undergoing major surgery or those who do not require postoperative care may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better patient outcomes and more efficient use of hospital resources, ultimately saving lives and reducing healthcare costs.
How similar studies have performed: Previous studies have shown that using AI for patient triage can improve care efficiency, suggesting that this approach has potential for success.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Loftus, Tyler J — University of Florida
- Study coordinator: Loftus, Tyler J
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.