Assessing and treating distress in glaucoma patients using AI.
Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm
This study is testing a new program that uses technology to help people with glaucoma by checking for feelings of anxiety and depression, so they can get the support they need to feel better and stick to their treatment, ultimately improving their vision and overall well-being.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-11037972 on NIH RePORTER |
What this research studies
This research aims to develop an automated program that identifies and addresses psychosocial distress, such as anxiety and depression, in patients with glaucoma. By utilizing an AI algorithm derived from electronic health records, the program will screen for distress and provide tailored interventions to improve patient outcomes. The goal is to enhance adherence to treatment and improve the overall quality of life for glaucoma patients, ultimately leading to better vision-related results. This approach is innovative as it integrates mental health assessment into routine glaucoma care.
Who could benefit from this research
Good fit: Ideal candidates for this research are glaucoma patients experiencing psychosocial distress, such as anxiety or depression.
Not a fit: Patients with glaucoma who do not experience any psychosocial distress may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the mental health and treatment adherence of glaucoma patients, leading to better vision outcomes.
How similar studies have performed: Other medical fields, such as oncology, have successfully implemented psychosocial distress screening, suggesting that this approach could be effective in glaucoma care as well.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Berchuck, Samuel Isaac — Duke University
- Study coordinator: Berchuck, Samuel Isaac
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.