Using AI to predict patient deterioration in acute care settings
Predictive Monitoring: IMPact of Real-time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)
This study is testing a new tool that uses artificial intelligence to help doctors keep a closer eye on patients in the hospital, so they can spot any problems early and provide better care before things get worse.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project ID | NIH-10904705 on NIH RePORTER |
What this research studies
This research focuses on improving patient outcomes in acute care wards by utilizing artificial intelligence to monitor patients in real-time. By analyzing continuous data from bedside monitors, the study aims to identify patients who may be deteriorating before they require emergency transfer to intensive care. The approach involves a cluster randomized controlled trial to test a new visual analytic tool called CoMET, which provides clinicians with risk estimates for adverse outcomes. This proactive monitoring could lead to timely interventions and better management of patient care.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients admitted to acute care wards who are at risk of deterioration.
Not a fit: Patients who are stable and not at risk of deterioration may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce morbidity and mortality rates for patients in acute care settings by enabling earlier clinical interventions.
How similar studies have performed: Similar research has shown promise in using predictive analytics for patient monitoring, indicating that this approach could lead to significant advancements in acute care management.
Where this research is happening
Charlottesville, United States
- University of Virginia — Charlottesville, United States (Active)
Researchers
- Principal investigator: Keim-Malpass, Jessica — University of Virginia
- Study coordinator: Keim-Malpass, Jessica
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.