Using artificial intelligence to improve medication safety in critically ill patients
Artificial intelligence-based health IT tools to optimize critical care pharmacist resources through adverse drug event prediction
This study is working on new technology to help doctors and pharmacists keep critically ill patients safe from harmful side effects of medications by predicting potential problems based on individual patient needs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project ID | NIH-10928705 on NIH RePORTER |
What this research studies
This research aims to enhance the safety of medication use in critically ill patients by developing advanced health IT tools that utilize artificial intelligence (AI) and machine learning (ML). The project focuses on creating a scoring tool that predicts adverse drug events (ADEs) based on patient characteristics and medication interventions. By optimizing the role of critical care pharmacists, the research seeks to ensure that patients receive timely and effective medication management, ultimately improving their health outcomes. The approach involves analyzing complex data to identify patterns that can lead to better decision-making in critical care settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are critically ill patients who are at high risk for adverse drug events due to complex medication regimens.
Not a fit: Patients who are not critically ill or those who do not require intensive medication management may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the occurrence of adverse drug events in critically ill patients, leading to better health outcomes and lower healthcare costs.
How similar studies have performed: Other research has shown promise in using AI and ML for medication safety, indicating that this approach could lead to significant advancements in critical care.
Where this research is happening
Athens, United States
- University of Georgia — Athens, United States (Active)
Researchers
- Principal investigator: Sikora, Andrea — University of Georgia
- Study coordinator: Sikora, Andrea
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.