Improving decision-making for treating atrial fibrillation symptoms
Data-driven shared decision-making to reduce symptom burden in atrial fibrillation
This study is looking at how to help people with atrial fibrillation (AF) make better decisions about their treatment by using patient data to show which symptoms might get better after a specific procedure called catheter ablation, making it easier for you and your doctor to choose the best option for your needs.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia University Health Sciences NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10892315 on NIH RePORTER |
What this research studies
This research focuses on atrial fibrillation (AF), a common heart condition that significantly affects patients' quality of life. It aims to enhance shared decision-making between patients and healthcare providers by using data from electronic health records to identify which symptoms are likely to improve after treatment, specifically catheter ablation. The study will utilize advanced techniques like natural language processing and machine learning to analyze patient data and create visual decision aids that help patients understand their treatment options better. By doing so, it seeks to align treatment choices with individual patient values and preferences.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with atrial fibrillation who are considering catheter ablation as a treatment option.
Not a fit: Patients who do not have atrial fibrillation or those who are not considering catheter ablation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment plans for patients with atrial fibrillation, ultimately improving their quality of life.
How similar studies have performed: Previous research has shown promise in using data-driven approaches for shared decision-making in other medical conditions, indicating potential success for this novel application in atrial fibrillation.
Where this research is happening
New York, United States
- Columbia University Health Sciences — New York, United States (Active)
Researchers
- Principal investigator: Turchioe, Meghan Reading — Columbia University Health Sciences
- Study coordinator: Turchioe, Meghan Reading
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.