Using AI to improve video monitoring of medication adherence
Official title: AI-MedWise: Developing and validating an artificial intelligence solution for effective video-based monitoring of medication adherence
Funded at University of Georgia · NIH-10871334 · Data updated 2026-11-12
This study is testing a new smartphone app that helps patients with chronic diseases show how they take their medications through videos, making it easier for healthcare workers to check if they're following their treatment plan, especially as more people are using remote healthcare these days.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project start | September 1, 2024 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $203,850 |
| NIH project number | 1R21LM014569-01 |
| Project ID | NIH-10871334 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients with chronic conditions such as HIV, TB, asthma, or other diseases requiring strict medication adherence.
✕Less likely to help
Patients who do not take oral medications or those without access to smartphone technology may not benefit from this research.
What this research studies
This research focuses on developing an artificial intelligence solution to enhance video-based monitoring of medication adherence for patients with chronic diseases. By utilizing a smartphone app, patients will record and submit videos of their medication intake, which will be reviewed by healthcare workers. The innovative approach aims to automate the review process using machine learning, making it more efficient and scalable. This method is particularly relevant in the context of increased remote healthcare needs highlighted during the COVID-19 pandemic.
Why it matters
Potential benefit: If successful, this research could significantly improve medication adherence monitoring, leading to better health outcomes for patients with chronic diseases.
How similar studies have gone: Previous research has shown that video directly observed treatment (VDOT) can effectively improve medication adherence, indicating a promising foundation for this AI-enhanced approach.
Where this research is happening
-
University of Georgia
Athens, United States Active
Researchers
- Principal investigator: Sekandi, Juliet Nabbuye — University of Georgia
- Study coordinator: Sekandi, Juliet Nabbuye
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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.