Predicting medication use in heart failure
Generalizable prediction of medication adherence in heart failure
This project will use electronic health records and pharmacy refill data to build a computer model that predicts whether people with heart failure are likely to miss their medications.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11061379 on NIH RePORTER |
What this research studies
Researchers will combine patients' electronic health record and linked pharmacy fill data to train machine learning models that recognize patterns tied to not taking medicines. The models will incorporate many patient-, provider-, and system-level factors and will be updated as new data arrive. Teams will test the models across large healthcare datasets and work to make the predictions accurate and fair across different hospitals. If reliable, these predictions could be shown to clinicians at the point of care to trigger timely support for patients.
Who could benefit from this research
Good fit: People diagnosed with heart failure who have medical records and linked pharmacy refill data in participating health systems would be the ideal candidates for this work.
Not a fit: Patients without electronic records or linked pharmacy data, or whose care is entirely outside participating systems, are unlikely to be included or directly helped by this project.
Why it matters
Potential benefit: If successful, the tool could help clinicians spot patients at risk of not taking heart failure medicines so they can offer help sooner and potentially reduce hospital visits.
How similar studies have performed: Related machine-learning approaches using EHR and pharmacy data have shown promising results in other conditions, but this method is relatively new for predicting adherence in heart failure and needs validation.
Where this research is happening
New York, United States
- New York University School of Medicine — New York, United States (Active)
Researchers
- Principal investigator: Blecker, Saul B. — New York University School of Medicine
- Study coordinator: Blecker, Saul B.
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.